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15 Truly Unbelievable Ways Science Changed the World in 2021 – Fatherly

Sometimes youve got to look for the trees in the forest. The good news of 2021 was like a host of saplings little trees lost in the forest of inflation, the pandemic, and catastrophic weather events. Look closer and you will find numerous reasons to cheer, scientific discoveries and advances that give honest-to-goodness hope for humanity.

Most notably, 2021 saw one of the most-effective vaccines ever created, in record time. But thats just the beginning. We witnessed other monster breakthroughs in biology, astronomy, medicine, engineering, computing, genomics, and many more scientific fields.

With so many astounding advances in 2021, it was tough to pick the most significant but we tried anyway. Here are our favorite 15 moments worth telling the kids about. Prepare for your mind to be blown.

The development, testing, and rollout of COVID vaccines has been called the moonshot of our generation. That might be an understatement. Thanks to devoted medical researchers and tens of thousands of everyday Americans who participated in clinical trials, the Food and Drug Administration (FDA) granted the Pfizer and Moderna COVID vaccines emergency use authorization for adults last December, followed by Johnson & Johnsons single-shot vaccine this February. Since then, the vaccine has become available for children as young as 5. Thats a vaccine rollout available to 94 percent of the population (under 5 are excepted so far) in little over a year. Previously, the fastest vaccine to go from development to deployment was the mumps vaccine in the 1960s which took about four years. Although were still struggling with COVID variants and breakthrough cases, this feat of inoculation has saved countless lives and holds promise for a future where we can keep up with viral outbreaks in real time.

Lots of animals can regrow a torn-off tail or a leg lost to a predator, but sea slugs have the coolest regeneration trick by a long shot. As a Japanese scientist discovered this year, these slimy creatures can behead themselves on purpose and grow a whole new body within weeks. The severed head survives on its own while it regenerates vital organs and limbs, likely due to slugs plant-like ability to photosynthesize because of all the algae they eat. Even more impressive, the discarded body lives for weeks before eventually dying off. Researchers think sea slugs use this cool maneuver to hoodwink predators and escape unharmed, or possibly to survive parasite infestations of their lower body.

Brain-computer interfaces (BCIs) hold major promise for people with paralysis, allowing them to operate robotic limbs, wheelchairs, keypads, and other gadgets just by thinking about moving their bodies. But so far, BCIs have mostly been relegated to research settings, as theyve required bulky cables to connect a persons head to a computer to an external device.

Not anymore. The prestigious BrainGate research team has devised the worlds first high-bandwidth, totally wireless BCI that transmits brain signals as quickly and clearly as cabled systems do. In a recent clinical trial, the new device enabled two people with tetraplegia to point, click, and type on a tablet with precision and speed no wires required. More research is needed, but this is a major step toward taking BCIs out of the lab and into the real world to help people with paralysis regain independence.

Americans boundless fascination with unidentified flying objects was finally indulged in 2021. In January, by way of the Freedom of Information Act, The Black Vault website posted the CIAs recently declassified database of every UFO sighting reported by a military pilot, dating back to the 1980s. Concurrently, the CIA uploaded dozens of records of UFO sightings from the 1940s to the early 1990s.

Then, in June, the Pentagon issued a long-awaited nine-page report summarizing everything it claims to know about unidentified aerial phenomena, or UAPs, its fancy term for UFOs. Shocker: The government doesnt know much. The report does assert that UAPs are not U.S. military craft, but otherwise, it pretty much plays the inconclusive card. But hey, although the dossier may not clear up many mysteries, the massive data dump should keep UFO-obsessed armchair detectives captivated for years to come.

About 90 percent of human brain development happens by age five. And although neuroscientists have recently learned a lot about how and when various developments occur, especially in utero, theres still a ton they dont know, particularly about the impacts of nature versus nurture. These answers are now coming, courtesy of the largest, most comprehensive trial on early brain development ever, which kicked off this fall.

Through the HEALthy Brain and Child Development Study, researchers nationwide will track a diverse group of 7,500 pregnant people and their children throughout the next decade. Using neuroimaging and psychological assessments, they aim to map out the normal arc of brain development and discover how pre- and postnatal environments and exposures (stress, socioeconomic status, parents drug use, COVID, etc.) affect it as well as how kids brains adapt. This historic study has the potential to unlock prevailing mysteries about autism, dyslexia, and other childhood neurodevelopment, emotional, and behavioral concerns.

Long before COVID, malaria was and as of time of publication, still is one of the most lethal infectious diseases on the planet. This mosquito-borne pathogen kills half a million people annually, predominantly in sub-Saharan Africa. Over half of those malaria kills are children under age 5, Now, after a century of effort, scientists have finally developed a safe, effective malaria vaccine (the first vaccine for any parasitic disease, by the way), which the World Health Organization (WHO) greenlighted for all at-risk kids in October. Assuming nations prioritize vaccine distribution, experts estimate this breakthrough could prevent 5.3 million malaria cases and 24,000 deaths among children under 5 every year.

An estimated 1.6 million Americans live with type 1 diabetes (aka juvenile diabetes), including 200,000 kids and adults under age 20. With no known cure, this life-threatening autoimmune disease, in which the pancreas stops producing insulin to control blood sugar, almost always requires intense 24/7 management.

That may be about to change. To the shock and elation of diabetes experts, an experimental treatment delivered in an ongoing clinical trial appeared to cure a 64-year-old man of type 1 diabetes, which would be a world first. After receiving infusions of insulin-producing cells grown from stem cells, the mans body now makes insulin on its own, giving him a whole new life, as he told the New York Times.

Because this discovery is part of a five-year study involving 16 other participants, its still too soon to say with certainty whether the treatment is effective and safe long-term. But its the most promising development the world has seen in regard to a type 1 diabetes cure and likely enough to make a parent or child living with type 1 do cartwheels.

In February, almost seven months after launching from Earth, NASAs highly sophisticated Perseverance rover touched down on Mars. The vehicle will spend nearly two years on the red planet, surveying the landscape, searching for evidence of past Martian life, and collecting geological samples to bring back to Earth. Then, in April, NASAs solar-powered Ingenuity Mars Helicopter became the first-ever aircraft to make acontrolled flight on another planet. By December 8, Ingenuity had logged 17 successful flights.

Mars wasnt the only celestial body to make news in 2021. In November, NASA scientists validated the existence of 301 new exoplanets planets that orbit stars other than the Sun bringing the total exoplanet tally to 4,870. The validation frenzy comes courtesy of NASAs new ExoMiner deep-learning technology, which evaluates data collected by the Kepler spacecraft to distinguish legit exoplanets from convincing fakes.

One of the biggest differences between the COVID pandemic and that of the 1918 Spanish Flu (the last global pandemic) is the way that we track it. Its nearly unimaginable that we once had to follow death and infection rates by local tally and had essentially no way of knowing about new viral variants. Now, led by the WHO, scientists have a colossal global collaboration to monitor the spread and evolution of SARS-CoV-2. Huge amounts of data have been collected and shared across borders in real time, allowing researchers to get quickly gain an idea of how a variant like Delta or Omicron spreads and affects case numbers and hospitalizations. We didnt have this sort of technology available at the beginning of the pandemic. As of April 2021, the online GISAID database containedonly one million SARS-CoV-2 genomic sequences. Eight months later, another five million sequences have been added. In other words, genomic sequencing of SARS-CoV-2 has gotten ten times faster since the spring. This accomplishment highlights that one of the biggest challenges of science isnt discovery, but sharing discoveries, and countries across the world are now doing that in a way theyve never done before.

With the average cost of a solar panel plummeting 90 percent between 2010 and 2020, it keeps getting cheaper and cheaper to generate power directly from the sun. Thats great news, as it helps shift our reliance away from fossil fuels, a key contributor to climate change. Frustratingly, however, solar panels havent gotten much more efficient in recent years, which has hindered widespread adoption of this form of clean energy.

To solve this issue, engineers have been looking for alternative materials that can outperform the standard silicon used in solar panels and still be inexpensive. Theyve had high hopes for perovskites, atomically thin, latticed materials that convert sunlight into energy highly efficiently. The only problem? Ultraviolet rays and moisture destroy perovskites in no time, tanking their usefulness.

But this year, Rice University engineers developed and road-tested solar cells made of two-dimensional perovskites. Their invention works much better than earlier models and withstands the elements. The trick with 2D perovskites, the researchers discovered, is that sunlight contracts the spaces between the atomic layers to boost efficiency by up to 18 percent a huge leap forward in this field. With solar companies worldwide working to commercialize perovskite solar cells, this breakthrough should ultimately accelerate societys conversion to solar energy.

In January, Jean-Michel Dubernard, MD, the same surgeon who performed the first-ever hand, double hand, and partial face transplants, accomplished yet another historic feat: the worlds first double arm and shoulder transplant. The operation, performed in France, was a resounding success. The recipient, 49-year-old Felix Gretarsson of Iceland, whod lost both arms in an electrical accident in 1998, has steadily gained mobility throughout the year, charting his progress on Instagram. He can now flex his biceps, pick up objects, and hug his granddaughter. Experts expect he will make more advancements in the coming years. Sadly, Dubernard died in July, but not before giving Gretarssinan entirely new life.

This year, scientists learned a lot about the massive creatures that inhabited the Earth many millions of years ago. First up, dinosaurs. The fearsome predator Tyrannosaurus rex roamed North America starting nearly 70 million years back, and now biologists have finally estimated how many: 2.5 billion. Terrifying, right? If its any comfort, thats the total T. rex population spread out over 2.4 million years. So, really, there were only about 20,000 adult T. rexes living at one time.

Of course, that last generation of T. rex, along with the entire dinosaur kingdom, got wiped off the planet some 66 million years ago by an asteroid. Or wait, was it a comet? Thats the new theory put forth by Harvard astronomers to explain the so-called Chicxulub Impactor, the astronomical body that created a 93-mile-wide, 12-mile-deep crater off the coast of Mexico and, theoretically, killed the dinosaurs. Countering the prevailing asteroid theory, the Harvard astronomers think a comet from the fringes of our solar system got knocked off-orbit by Jupiters gravitational field and broke into chunks. Then an especially large chunk the eventual Chicxulub Impactor slammed into the Earth, wreaking major havoc and wiping out the dinos.

More than 60 million years after the dinosaurs, mammoths were living large, which researchers know because of the extensive fossil record. This year, such fossils yielded an unprecedented discovery: the oldest ancient animal genome ever recovered. In sequencing DNA from three mammoth teeth extracted from the Siberian permafrost, scientists determined the fossils were more than one million years old, obliterating the previous record held by a 560,000-to-780,000-year-old horse leg bone. The DNA also suggests a separate lineage, possibly a different species, of mammoth that scientists werent aware of before.

An international event thats been decades in the making is finally (hopefully!) happening on December 24*. After multiple delays, the James Webb Space Telescope the largest and most advanced scientific telescope in the history of space exploration is scheduled to blast off from French Guiana aboard the Ariane 5 rocket. It will take 30 days to travel nearly 1 million miles to a stable spot in space and another six months to unfold its instruments, align, and calibrate. As it tracks Earths orbit around the sun for the next several decades, the infrared scope will directly observe parts of the universe previously unseeable, thereby demystifying the origin and evolution of our planet, solar system, and galaxies beyond.

One of the biggest differences between the COVID pandemic and that of the 1918 Spanish Flu is the way that we track it. Its nearly unimaginable that we once had to follow death and infection rates by local tally and had essentially no way of knowing about new viral variants. Now, led by the WHO, scientists have a colossal global collaboration to monitor the spread and evolution of SARS-CoV-2. Huge amounts of data have been collected and shared across borders, allowing researchers to get quickly gain an idea of how a variant like Omicron spreads and affects case numbers and hospitalizations. We didnt have this sort of technology available at the beginning of the pandemic. As of April 2021, the online GISAID database contained only one million SARS-CoV-2 genomic sequences. Thats after about 16 months of pandemic. But in the eight months since, another five million sequences have been added. In other words, genomic sequencing of SARS-CoV-2 has gotten ten times faster since the spring. This accomplishment highlights that one of the biggest challenges of science isnt discovery, but sharing discoveries, and countries across the world are now doing that in a way theyve never done before.

What takes todays best supercomputers several days or weeks to process, quantum computers can knock out within seconds. Thats why quantum computing, which leverages the laws of quantum physics for unprecedented processing capabilities, is already considered among the biggest scientific breakthroughs of the 21st century. Eventually, its supposed to revolutionize manufacturing, meteorology, cybersecurity, national defense, and much more.

Well, 2021 made eventually closer than ever. In November, IBM unveiled its 127-qubit Eagle, the most powerful quantum processor yet. Then earlier this month, the company Quantinuum debuted the worlds first commercial product built from quantum computing: a cloud-based cybersecurity platform called Quantum Origin. With the worlds top tech companies and research institutions racing to advance this next-gen technology, expect quantum computing to make our list again next year, and the next, and the next

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Giant Fake Ladybugs on Tanks? The Future of Warfare in the Age of Artificial Intelligence and the Need for Ethics PRIO Blogs – Peace Research…

In September this year, Chief Software Officer for the U.S. Air Force Nicholas Chaillian, unexpectedly resigned.

The reason for his resignation? To protest the slow pace of technological transformation taking place in the U.S. military, and where he argued the U.S. had already lost the race for AI dominance to China.

In todays competitive climate around AI development, many warn about the consequences of being reckless in developing and using these technologies in warfare. However, fully understanding what AI looks like in warfare is complex, which makes it even more challenging when thinking about the potential ethical and legal implications of these technologies.

U.S. soldier uses the tactical robotic controller to control an expeditionary modular autonomous vehicle.U.S. Army photo by Sgt. Marita Schwab

Artificial Intelligence (AI) in itself is a broad concept, referring to types of software that can enable machines to function without direct human intervention.

Due to the broad umbrella of technologies that fall under AI, it is hard to grasp the full scope and degree of impact that these technologies will have in a military setting. Much of the debate and focus has been on autonomous weapons systems (AWS), and whether these technologies should be banned. AIs role in military preparedness and operations is however considerably broader than AWS, as AI supports decision-making in a variety of ways.

Understanding how AI can contribute to more effective and safer military operations is of increasing importance as its use becomes more widespread. In this respect we must not sidestep careful consideration of the attendant ethical and legal challenges.

In this recent article for War on the Rocks, August Cole presents one of the many different ways that AI may change warfare. Cole is an author who has written extensively on military technologies. Among his other interesting credentials, he has coauthored a widely read novel about future warfighting, Ghost Fleet. Cole heads the Strategy Team for the Warring with Machines Project at PRIO.

In the article Cole describes how the U.S. could implement an Algorithmic Warfare Group (AWG 2.0). This group would be similar to the Asymmetric Warfare Group which was formed during the early 2000s to help the army learn from new and emerging threats in the battlefield. The AWG 2.0 would in theory work to pair PhDs who specialized in AI with many branches of the military as advisors. In this role, they would help the military think about how they can use algorithms and AI to better support their work, and also how they can counter and trick other militaries AI enabled systems in the field.

In one example that Cole outlines, AWG advisors could help dispersed Army units spoof machine-vision software used by an adversarys low-flying artillery-spotter drones. AI-powered systems on those drones will be common as commanders drown in more video feed and visual data than human analysts can keep up with. Tricking those machine-vision systems will help U.S. forces hide in plain sight, or at least buy them time to leave an area or prepare for contact. This might be done by literally crafting glue-on three-dimensional objects to confound machine vision or simpler visual tricks that result in pixel spoofing that can turn a car into a dog.

However, as the article outlines, members of the AWG 2.0 group would also work to determine what data is most useful and relevant in a combat context. This is key, because as many AI developers highlight, data is vital to the success of AI and the algorithms which guide these systems. This presents both a challenge and an opportunity to think how this data can and should be used ethically.

We have seen many examples of the way in which data that is biased results in AI systems that are biased, and can entailnegative gendered and racial implications in their use. As I have written before for PRIO blogs, these examples of bias raise a number of social and ethical concerns about the use of AI in warfare. As Cole points out, groups such as the AWG 2.0 should observe and learn from these mistakes to inform how data is integrated and used in future warfare. This also presents an opportunity as Cole concludes for the U.S. and its allies to set a precedent and standard for the responsible use of data and AI, which private companies then might even strive to follow.

Understanding the multidimensional impact that these new technologies will have in warfare and society more broadly is complex. Having a nuanced understanding of the many different ways these technologies could be implemented is key as nations and institutions around the world struggle to create the ethical and legal frameworks needed.

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Applying Artificial Intelligence to Food Tray Production – Automation World

Since 1958, apetito has been supplying frozen foods and ready-to-eat meals to schools, nurseries, businesses, hospitals, and retirement homes across Europe and Canada. Production of its meal trays involves placement of different food items into trays for shipping and delivery. Complaints from customers about missing food items from trays led the company to seek an automated approach to final product inspection.

In its initial attempt to correct this problem, apetito began weighing each tray as it came off the production line. However, this did not adequately address the problem because if one food item on the tray was a little heavier than usual, it could falsely account for what was missing. In addition, apetito wanted to address other assembly efficiencies, such as ensuring each lid on its desert containers is properly crimped and secured.

One of the first steps apetito took to automate visual inspections was to apply a Raspberry Pi-based system to monitor one production lane. Photos of good and unacceptable products informed models connected to an output signal in the control system that would push rejects off the line. Without needing a human to do this job, the company saved more than 15,000 in labor costs per year.

The problem with the Raspberry Pi system is that it required hundreds of pictures of its products that had to be uploaded to a USB and then transferred to a computer to train the system over the course of three to four hours. The resulting knowledge then had to be transferred back to the line.

Whenever apetito made changes to its meal production operations to maintain appropriate stock levels, new training processes were required for the Raspberry Pi system.

Though the Rasperry Pi system was not scalable or flexible enough for apetitos needs, it helped the company realize how AI could help apetito save on costs and more adequately detect production problems.

Neurala, a supplier of AI (artificial intelligence)-based visual inspection technology, began working with apetito to detect cases of the five most reported missing components from meal trays using Neuralas Vision Inspection Automation (VIA) software. VIA consists of two software programs, Inspector and Brain Builder. Using these programs, apetito was able to build anomaly-detecting systems in 10-20 minutes and immediately begin testing.

Neuralas Vision Inspection Automation (VIA) software helped apetito build anomaly-detecting brains in as little as 10 minutes. As a result, apetito can discover what is missing from unique meal trays and identify trends in missing components. Source: Neurala.With apetitos earlier weight-based inspection system, the company could only flag an incomplete tray, without understanding what was missing. With VIAs ability to inspect multiple regions of interest on the trays, apetito can now see specifically which components are missing and identify trends in missing components to avoid their occurence in the future.

To data, Neurala and apetito have built 30 AI brains across apetitos plant to detect various food components used in various food trays. For example, one brain developed to identify missing Yorkshire pudding components achieved 100% accuracy at the end of testing, assuring apetito can detect their most frequent missing component without fail.

Kevin McDonagh, operations manager at apetito said, Throughout this AI-building journey, weve spoken with other companies in similar situations, and are yet to find anybody in the food industry that is leveraging AI like we are with Neurala. Were very much breaking new ground together.

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Nickel oxide is a material that can ‘learn’ like animals and could help further artificial intelligence research – The Conversation AU

The Research Brief is a short take about interesting academic work.

A unique material, nickel oxide demonstrates the ability to learn things about its environment in a way that emulates the most basic learning abilities of animals, as my colleagues and I describe in a new paper.

For over half a century, neuroscientists have studied sea slugs to understand basic animal learning. Two fundamental concepts of learning are habituation and sensitization. Habituation occurs when an organisms response to a repeated stimulus continuously decreases. When researchers first touch a sea slug, its gills retract. But the more they touch the slug, the less it retracts its gills. Sensitization is an organisms extreme reaction to a harmful or unexpected stimulus. If researchers then shock a sea slug, it will retract its gills much more dramatically than when it was merely touched. This is sensitization.

Nickel oxide has features that are strikingly similar to this learning behavior. Instead of gills retracting, we measured the change in electrical conductivity of the material. The stimulus, instead of a finger poke, was repeatedly alternating the environment of the nickel oxide between normal air and hydrogen gas.

Nickel oxide is interesting because when you expose it to hydrogen gas, its crystalline structure subtly changes and more electrons become available to generate an electrical current. In our experiment, we kept switching between the hydrogen-only and regular air environments. You would expect the electrical conductivity to oscillate up and down directly in relation to the exposure to hydrogen or air. But just as with the sea slugs, the change in conductivity of the nickel oxide slowly went down the more we stimulated it. It got habituated to the hydrogen.

When we exposed the material to bright light or ozone, though, it rapidly changed its conductivity the same way a slug will always respond dramatically to a small shock.

The ability to learn, remember or forget information as needed is a powerful skill for any animal or machine. So far, the vast majority of research in the field of artificial intelligence has focused on software-based approaches to machine learning, with far less effort dedicated to studying the learning abilities of materials.

At the center of these two related areas of research lies the field of brain-inspired computers. For intelligence to be encoded into hardware, scientists need semiconductors that can learn from past experience and adapt to dynamic environments in a physical way similar to that of neurons in animal brains. Our new research showing how nickel oxide demonstrates features of learning hints at how this or similar materials could serve as building blocks for computers of the future.

Before such materials can be incorporated into computer chips there are some knowledge gaps that need to be addressed. For instance, it is not yet clear at what time scales a material needs to learn for it to be useful in electrical systems. How quickly does something need to learn or forget to be useful? Another unknown is how or whether it is possible to change the structure of nickel oxide to produce different learning behaviors.

In addition to further experiments on the material itself, there are theoretical lessons to explore. Observations of collective behavior of animals in nature such as bird flocks and schools of fish have inspired researchers to develop fields of AI like swarm intelligence. In a similar fashion, the interesting collective motion of atoms and electrons in materials could inspire AI and hardware design in the future.

As new materials that can accommodate mobile atoms are discovered, I am optimistic we will see further breakthroughs that can bring researchers one step closer to designing computers that emulate animal brains.

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Artificial intelligence and on-the-job safety | Safety+Health magazine – Safety+Health magazine

Key points

Artificial intelligence already is part of our everyday lives: in our web searches, in our interactions with digital assistants, and even helping us decide what movies and TV shows to watch.

Vietas

Not only will it be in the fabric of the future of work, but its going to be in the fabric of solutions to the future of work as well, Vietas said during a webinar hosted by the agency in June. Some of the benefits AI is providing to the safety field: deeper insights, continuous observations and real-time alerts to help employees avoid unsafe situations and organizations respond to incidents quicker.

Experts say making use of AI requires collaborative efforts between safety professionals and other departments, namely information technology, to ensure transparency as well as alleviate privacy concerns and other issues workers may have.

Darabi

Our recommendation is, basically, try to understand AI and try to see how it can work for you, said Houshang Darabi, a professor at the University of Illinois Chicago and co-director of the occupational safety program at the schools Great Lakes Center for Occupational Health and Safety.

AI is defined as the use of computers and/or machines to try to replicate human decision-making, problem-solving and other abilities.

AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data, according to software company SAS.

Subsets of AI include machine learning, neural networks, computer vision and natural language processing.

Hornsby

One safety-related example is the use of cameras that can detect whether workers are wearing their personal protective equipment. Specifically, the devices can monitor employees who are working at height and need to be wearing harnesses. Not only can the cameras detect whether the workers are wearing their harness, but they also can identify if the PPE is tethered, said Donavan Hornsby, corporate development and strategy officer with Benchmark Digital Partners and the Benchmark ESG digital platform.

During a technical session at the 2021 NSC Safety Congress & Expo, Hornsby and Dave Roberts, vice president of environmental, health and safety at The Heico Cos., offered other examples of tasks that AI-enabled cameras can perform. These include tracking interactions between workers and machinery, monitoring the status of machine guarding, checking if workers are in or outside of designated areas, and performing ergonomic assessments. The devices also can be paired with sensors or wearables that are attached to hard hats, vests or other items.

That continuous eye on workers means that safety pros dont have to rely solely on observations, walkarounds or inspections to ensure workers are wearing PPE or to identify other safety issues.

Instead of depending on one person doing their round once a shift or once a day, Hornsby said, what if the cameras are always looking and that person can now spend time working on more value-added activities?

This spring, the University of Illinois Chicago will offer an online course to help occupational safety and health professionals learn more about artificial intelligence. For more information, email Preethi Pratap at plakshmi@uic.edu.

Cameras and/or sensors and wearables also have the ability to generate heat maps, which can show where high-risk activities are taking place in a facility.

Its important, Hornsby noted, to layer that data with operational data for greater knowledge and analysis.

Then you have this kind of multilayer perspective on risk: high-risk operations, people that are working long hours, high concentrations of activity, he said.

For employees working long hours, Hornsby said certain AI-enabled programs can help measure cognitive impairment. That can come in the form of, say, a 30-second visual puzzle. With an established baseline for each worker, the cognitive screening can test personnel before each shift.

They can get a sense of whether or not theyre cognitively impaired, Hornsby said, which may have been a result of working too long of a shift the day before or not getting enough sleep or personal issues, or whatever the case might be.

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Viewpoints: Ways The Pandemic Has Affected New Mothers; Benefits Of Artificial Intelligence In Health Care – Kaiser Health News

Editorial writers tackle these various public health topics.

Chicago Tribune:New Motherhood In A New Normal WorldWhen it comes to pregnancy amid a pandemic, there is no manual. Where once expecting moms could find answers to most of their questions within a copy of What to Expect When Youre Expecting, the book contains no chapter on how to navigate pregnancy and new motherhood during a pandemic. For many women, questions regarding their health and the safety of their child cast a shadow on what should be a joyful experience. (Ellen Stang, 12/20)

Stat:Embrace The Reality: How AI Can Improve Health Outcomes Right NowThe story of artificial intelligence (AI) driving better health care outcomes has been a convoluted one, with hype-laden chapters on algorithmic cures for cancer and the future of robots replacing doctors. As those promises eventually proved overly ambitious, many people have lost the plot. When the world fixed its collective gaze on the Covid-19 pandemic and AI innovation fell off the hype cycle, it did not die. Instead, it has quietly emerged as a critical link between patients, providers, and payers by helping identify gaps in care, guide strategic decision-making, and improve patient engagement with care managers and primary care providers. Bots may not have replaced clinicians, but they have emerged as an important link in the care-management process. (Prasad Dindigal, 12/21)

Modern Healthcare:Whole Person Health Finally Starting To Get The Attention It DeservesIts taken a pandemic for the world to fully grasp the interdependent nature of mental, physical and socioeconomic health. Yet, while COVID-19 has exponentially increased Google search trends for terms like social determinants of health, the foundations of whole person health run centuries deep. In words variably attributed to Osler, Moxon and even Hippocrates, generations of aspiring clinicians have learned the primacy of knowing what sort of a patient has the disease than what sort of disease the patient has. (Kody Kinsley and Dr. Chris DeRienzo, 12/21)

The Boston Globe:For Lauras Law To Succeed, DPH Must Heed Our AdviceAfter pushing two long years for Lauras Law to be passed by the Legislature and seeing it signed into law by Governor Charlie Baker last January, I thought my work was over trying to make a difference in my late wifes name. I couldnt have been more wrong. There was plenty more to do to implement the law. Since August, I have been meeting with a group of experts and concerned leaders officially the Patient Access to Emergency Care (Lauras Law) Workgroup to come up with a list of recommendations for hospitals to adhere to ensure patients can find and get inside emergency departments as quickly as possible. Common-sense safety checks you might reasonably assume are already in place at your local hospital but, shockingly, often are not. (Peter DeMarco, 12/21)

Los Angeles Times:Amid Blood Shortage, Your Donation Could Save My LifeIve never been very good at math, but here are some numbers about me: my age; how old I was when I received my first blood transfusion; and how many transfusions Ive had since. 35; 6 months; and, at this point, nearly 900. Needing blood is something I can set a watch to its an unavoidable aspect of my life and routine, and has been since I was diagnosed with a chronic blood disorder (beta thalassemia major) as an infant. No matter what else is going on holidays, work events, global health crises I still always need another transfusion. (Joelle Zarcone, 12/21)

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Debayan Deb: Providing Artificial Intelligence- Powered Solutions to Drive Innovation – Analytics Insight

LENS Corporation is focused on providing an AI-powered solution to multiple problems by enabling machines to view and perceive. It provides state-of-the-art artificial intelligent in-house developed solutions while collaborating with multiple AI and ML developers across the world. Some of the ongoing projects of this company are infant fingerprint recognition, contactless fingerprints, and primate face recognition.

Debayan Deb is Co-Founder and CEO of LENS Corporation. His fascination for computer vision quickly turned into a passion that was worth pursuing in 2015. Applied AI was the next big thing in the market back then and Debayanwanted to be a part of it. Not so long later, in 2016, he officially launched a company known as LENS with an aim to grow local businesses through AI.

To solidify his understanding of the market and to gain knowledge in computer vision, Debayan started his Ph.D. with one of the pioneers of modern-day biometrics, Dr. Anil K. Jain. During his studies, he realized that the industry and academia have vastly different requirements; the latter primarily focuses on improving the accuracy of AI systems while operational efficiency is the key in the industry and then it became imperative for him to bridge this gap, and thats where LENS came in. Now, LENS is at the forefront of cutting-edge, efficient, and trustworthy AI systems, paving a new path forward to create explainable and universally intelligent solutions.

Debayan pointed out, How we do it is just as important as why we do it and exactly following it, LENS Corporation follows a three-step process to ensure solutions appeal to a wider range of audiences. The first step is the research on pushing the state-of-the-art. Then, it enhances the efficiency of solutions under various operational scenarios. Lastly, the team considers the social implications of algorithm-based decision-making and ensures that the AI systems are trained ethically-represented high-quality datasets to eliminate human cognitive biases fairly.

To stay ahead of the curve, it also publishes academic whitepapers with prominent researchers in the AI realm.

Debayan mentioned that AI is one of the fastest-growing fields and disruptive technologies are widespread. To stay relevant, he said that it is crucial to keep ones feet to the fire in both literature and academia.

He suggested being thirsty for acquiring knowledge by reading novel academic papers and also stressed that we should invest time in studying new emergent companies. Gone are the times when a leader could only focus on managing the day-to-day. A leader must also constantly strive to understand where the domain is heading says Debayan.

Early on, the team participated in pitch competitions where start-ups present business ideas, such as SpartyPitch and The Hatch. The idea of applying AI solutions to a variety of different applications secured a win that further validated the need for LENS.

In addition, pursuing a Ph.D. further intensified his understanding of the market and gave him an edge over competitors. It greatly accelerated the ability to see the near future and provided a vision to see where the field is heading. During the hardest of times, the team holds on to the same vision wanting all machines to understand the world as humans do.

According to Debayan, visualizing beyond today should be a foremost quality in an AI leader. Understanding the impact of technology is equally important to sustain the greatest of challenges.

He asserts that at times, AI is more of an art than a science. In research, there may be some crossroads wherein numerous directions seem feasible and hence Debayan believes that it is vital to trust the instincts, rather than coming to a standstill where logic is unable to find a path forward. As a leader, one should be working collaboratively with the team to find optimal solutions to hard problems he claims.

Since this branch of computer science has been non-conventional till now, it might seem there is a dearth of opportunities which is a common myth.

Debayan believes that AI has been on the rise for a few years now and solutions that satisfy market requirements are not met by the available supply of researchers and engineers. Many niches have also been overlooked by academia and industry alike.

His advice would be to take the leap of faith, study the market, believe in the skills, and develop your own ideas. He wishes all the budding leaders or executives the best of luck!

In order to stay relevant and ahead of the competition, LENS decided to be a research-first company, instead of making available solutions to mundane problems. The team also decided to be 100% bootstrapped the idea being that the pace of growth will be directly impacted by the quality of research, which has worked in its favor. Internally, Debayan expresses that when one starts to expand the team while collaborating with the team(s), working on multiple ideas needs to be streamlined to keep on track so that the deliverables are met through agile sprints.

The companys motto states, Trustworthy AI. Yes, thats the idea for the next decade. Now that AI systems are saturating in terms of accuracy in many domains, Debayan wishes to see new AI systems that excel in accuracy, efficiency, explainability, and transparency.

The solutions, while maintaining the necessary intellectual property rights for clients, customers, and end-users, include a guarantee to leverage everything at our disposal to ensure complete transparency, till all how and why are answered satisfactorily.

Another area where AI is vastly overlooked is AI for social good. LENS actively provides solutions to global challenges including but not limited to, assigning digital ID (biometrics) to everyone (including infants and under-developed regions), by helping in conserving wildlife, forecasting natural disasters (for instance, via aerial imagery), and so on. The contributions towards this goal can go a long way towards instilling trust, fairness, and security for society at large.

LENS, which is complemented by a research-driven approach, strives to overcome some of the noted challenges of AI, such as ethical training and bias-free decision-making while preserving user privacy which is a key to transforming the industry ahead. LENS is building the future of AI, together.

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UN talks to ban ‘slaughterbots’ collapsed here’s why that matters – CNBC

Delegates are seen during a meeting of the review conference of the Convention on Certain Conventional Weapons, (CCW) focussing on lethal autonomous weapons systems (killer robots) at the United Nations in Geneva on December 17, 2021.

FABRICE COFFRINI | AFP | Getty Images

A UN conference failed to agree on banning the use and development of so-called "slaughterbots" at a meeting in Geneva last week, raising alarm bells among experts in artificial intelligence, military strategy, disarmament and humanitarian law.

Slaughterbots are weapons that select and apply force to targets without human intervention. Instead, they make their decisions with artificial intelligence software, which is essentially a series of algorithms.

For the first time ever this year, the bulk of the 125 nations that belong to the United Nations'Convention on Certain Conventional Weapons (CCW) said they wanted new laws to be introduced on killer robots.

However, some countries that are developing these weapons including the U.S. and Russia, were in opposition, making a unilateral agreement impossible. The U.K. and several other nations also objected.

"We would have liked to have seen everyone get behind that," Emilia Javorsky, a physician scientist who leads the Future of Life Institute's advocacy program on autonomous weapons, told CNBC. "All it takes is one," she added.

The conference concluded Friday, with the group pledging to "intensify" discussions and consider possible steps that are acceptable to all.

The fact that the CCW failed to agree on anything concrete last week was hailed as an "epic failure" by Javorsky. "It is now blatantly clear this forum whose unanimity requirement makes it easily derailed by any state with a vested interest is utterly incapable of taking seriously, let alone meaningfully addressing, the urgent threats posed by emerging technologies such as artificial intelligence," she said.

Verity Coyle, a senior advisor at Amnesty International, said in a statement that the window of opportunity to regulate killer robots grows ever smaller as research and testing of these weapons presses forward.

"The CCW has once again demonstrated its inability to make meaningful progress it's now time that committed states take the lead on an external process that can deliver the type of breakthrough we've previously seen on landmines and cluster munitions," she said.

Despite what some people may think, slaughterbots are already being used on the battlefield today.

In Libya, Kargu drones made by Turkey's STM have been used in the nation's civil war, according to a UN report published in March.

These Kargu drones aresmall portable rotary wing attack drones that provide "precision strike capabilities for ground troops," according to STM's website.

"That's going to be the weapon of choice for basically anyone who wants to kill anyone. A slaughterbot would basically be able to anonymously assassinate anybody who's pissed off anybody.

Max Tegmark

Professor, Massachusetts Institute of Technology

The Kargu drones were used in Libya to hunt down retreating soldiers, according to the UN report.

"It's the first really solid documentation we have of a use case of these types of weapons," Javorsky said in reference to the report. "But we're seeing reports of this at accelerating rates. We're hearing about swarms being used and deployed and developed. So that reality is very much here today."

Members of an emergency squad of the People's Armed Police carry out drone reconnaissance in Guangxi, China, Nov 3, 2021.

Future Publishing | Future Publishing | Getty Images

Companies making these drones are trying to develop AI systems that can identify the thermal signature of a human target or identify their face via a camera. But distinguishing between combatants and non-combatants requires accuracy and precision.

It's drones like STM's that campaigners are most worried about. These drones, which look similar to a normal consumer drone but have a gun attached, are fairly inexpensive to buy and relatively easy to mass produce.

Max Tegmark, a professor at the Massachusetts Institute of Technology and the president of the Future of Life Institute, told CNBC that gangs will look to try and use slaughterbots if they're affordable.

"That's going to be the weapon of choice for basically anyone who wants to kill anyone," he said. "A slaughterbot would basically be able to anonymously assassinate anybody who's pissed off anybody."

The International Committee of the Red Cross, viewed by many as the organization that is the custodian of the law of war, has called for the prohibition of autonomous weapons that are designed or used to target human beings.

Richard Moyes, coordinator of theStop Killer Robots campaign, said in a statement that government leaders need to draw a moral and legal line for humanity against the killing of people by machines.

"A clear majority of states see the need to ensure meaningful human control over the use of force," he said. "It's time now for them to lead in order to prevent the catastrophic humanitarian consequences of killer robots."

Campaigners say there are a lot of parallels to be drawn between bioweapons and lethal autonomous weapons. The U.S. and Russia, which have two of the most advanced military forces in the world, realized it was in neither of their interests to let other countries have cheap and accessible bioweapons, Javorsky said.

"I think that is very comparable with the thinking around these small embodiment systems that target people," she explained. "These are cheap and scalable so if you're a leading military it's not in your best interest to have scalable weapons that can easily proliferate and be used against you."

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Global Artificial Intelligence Market Opportunities Report 2021 with Focus on Transformative Mega Trends of AI – Yahoo Finance

Dublin, Dec. 17, 2021 (GLOBE NEWSWIRE) -- The "Global Artificial Intelligence Growth Opportunities" report has been added to ResearchAndMarkets.com's offering.

As artificial intelligence (AI) and machine learning (ML) will transform businesses, it will create a broad spectrum of new revenue opportunities for ICT vendors and service providers.

The opportunities cut across advisory services, applications, and infrastructure. As the mega trends shape the AI landscape, it will have a ripple effect in terms of new revenue and growth opportunities for start-ups as well as large global information and communication technology (ICT) companies.

Artificial intelligence leverages algorithms and large datasets to identify underlying relationships and drive new or better business outcomes. While still at a nascent stage, AI technologies are being adopted across industries globally to innovate business models, drive operational efficiencies, and create strategic differentiation.

The potential impacts of AI on people, organizations, and society are widespread. COVID-19 pandemic further accelerated the pace of digital transformation and AI adoption as organizations seek to explore new means of creating sustainable business models as well as drive customer value, effectively manage the employee lifecycle in a distributed environment, and optimize costs.

The AI ecosystem is evolving rapidly making it essential to understand the overarching trends that are impacting AI and its adoption.

Further, as we expect democratizing of AI/ML, there will be a move slowly away from applications that only can be developed by data scientists for platforms, making it easier to develop and deploy solutions.

Some of these trends include:

Augmenting AI capabilities with enterprise applications

Advancements in cognitive capabilities to assess emotions and sentiments

Adoption of Edge AI

Public cloud service providers playing a pivotal role in the AI ecosystem

Focus on ethical AI

Key Topics Covered:

Story continues

1. Strategic Imperatives

Why is it Increasingly Difficult to Grow?

The Strategic Imperative

The Impact of the Top Three Strategic Imperatives on Artificial Intelligence

Growth Opportunities Fuel the Growth Pipeline Engine

2. Growth Environment

3. Growth Opportunity Analysis

Key Trends in the Artificial Intelligence Industry

Augmenting AI Capabilities with Enterprise Applications

Advancements in Cognitive Capabilities to Assess Emotions and Sentiments - Emotion Artificial Intelligence

Adoption of Edge AI

Public Cloud Service Providers are Playing a Pivotal Role in the AI Ecosystem

Focus on Ethical AI

4. Way Forward

5. Growth Opportunity Universe - Artificial Intelligence

Growth Opportunity 1: Consulting and Advisory Services for AI Roadmap

Growth Opportunity 2: Industry Vertical/Function-specific Applications to Enhance Customer Value

Growth Opportunity 3: Edge Data Centers for Supporting Select AI Use Cases

Growth Opportunity 4: Integration Services to Build Customized Solutions for AI by Leveraging Emerging Technologies

For more information about this report visit https://www.researchandmarkets.com/r/haruam

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The Evolution of Cyber Insurance in 2021 Through the Lens of expert.ai’s Artificial Intelligence – PRNewswire

BOSTON, Dec. 20, 2021 /PRNewswire/ --Expert.ai (EXAI:IM), the premier artificial intelligence (AI) platform for language understanding, today released a new Expert IQ Report, "How Cyber Insurance Has Evolved in 2021." The report provides insurers with insight into unprecedented change and risk being driven by the pandemic, causing costs to soar and confusion to spread across the marketplace. In the first half of 2021 alone, threat research shows global cyber-attacks climbed 29%, ransomware incidents jumped 93% and demands rose an astounding 518%.

Report findings are produced using expert.ai's advanced natural language understanding (NLU) capabilities. The technology takes a unique approach to AI by combining symbolic human-like comprehension and machine learning (ML) to create practical applications that deliver real business impact and measurable benefits. With deep understanding of any kind of document (presentations, contracts, emails, claims, reports, posts, social media messages, etc.) it helps organizations turn unstructured language details into structured data at speed and scale. This augments discovery capabilities and streamlines the automation of complex, knowledge-centric processes.

The Expert IQ Report is a regular series that provides deep content analysis from massive amounts of language data on a given subject. For "How Cyber Insurance Has Evolved in 2021," expert.ai analyzed a sample of approximately 1,130 articles, published in a range of insurance industry outlets between January 2021 and November 2021. Focused on insurance news, opinions and analysis, the analysis identified the cyber-related issues discussed most online, capturing the main topics, trends and sentiment expressed about them.

A few of the cyber insurance findings in the report include:

"What makes policy review and comparison especially complex for cyber is that threats are evolving and growing. Contracts may exceed 100 pages it's not easy to streamline the review process to avoid unintended risk exposure while ensuring coverage certainty," said Pamela Negosanti, head of sector strategy for financial services and insurance at expert.ai. "With NLU, we augment underwriters by making policy reviews faster, more consistent and accurate. We help them overcome new challenges - like those posed by 'silent cyber' - by improving the reading, identification and extractions of critical information around explicit and implicit coverages."

Keith C. Lincoln, expert.ai CMO, added: "The right AI approach can provide enterprises competitive advantage by automatically generating fast, accurate market understanding from existing business documents. You can identify emerging risks and trends, gain a detailed picture of sentiment, design more effective and profitable products, seize new opportunities and more. It's insight today for decision-making that'll shape your future and provide strategic advantage."

"How Cyber Insurance Has Evolved in 2021" is available now for download. For more information about expert.ai and its breakthrough technology, please visit the expert.ai website.

About expert.aiExpert.ai (EXAI: IM) is the premier artificial intelligence platform for language understanding. Its unique hybrid approach to natural language combines symbolic human-like comprehension and machine learning to extract useful knowledge and insight from unstructured data to improve decision making. With a full range of on-premises, private and public cloud offerings, expert.ai enhances business operations, accelerates and scales natural language data science capabilities while simplifying AI adoption across a vast range of industries, including insurance, banking & finance, publishing & media, defense & intelligence, life science & pharma, and oil, gas & energy. Expert.ai has cemented itself at the forefront of natural language solutions and serves global businesses such as AXA XL, Zurich Insurance Group, Generali, The Associated Press, Bloomberg INDG, BNP Paribas, Rabobank, Gannett and EBSCO.

For more information, visit https://www.expert.ai.

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SOURCE expert.ai

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