Page 3,929«..1020..3,9283,9293,9303,931..3,9403,950..»

Google CEO: ‘Artificial intelligence needs to be regulated’ | TheHill – The Hill

Google CEO Sundar Pichaiis calling for governments around the world to regulate artificial intelligence, saying the sensitive technology should not be used to "support mass surveillance or violate human rights."

However, Pichai the top executive at Google as well as its parent company Alphabet also argued that governments should not go too far as they work to rein in high-stakes technologies like facial recognition and self-driving vehicles.

His speech inEurope and companion op-edcome as Europe weighs newethics rules for artificial intelligence and the White House urges a light-touch approach to regulating technology.

"There is no question in my mind that artificial intelligence needs to be regulated," Pichai wrote in theFinancial Times. "It is too important not to. The only question is how to approach it."

Since 2018 Google has touted its AI principles as a potential framework for government regulation. The guidelines urge tech companies to ensure artificial intelligence technologies incorporateprivacy features, contribute to the greater social good and do not reflect "unfair" human biases.

Critics have pushed back onthe tech industry's stated support for AI regulation,claiming the companies are trying to dictate the terms of regulation in their own favor.

"Sensible regulation must also take a proportionate approach, balancing potential harms, especially in high-risk areas, with social opportunities," Pichai wrote.

Governments around the world have found themselves behind the curve as artificial intelligence advances at lightning speed, opening up new frontiers for potential regulation. Several cities in the U.S. have taken the lead by imposing all-out bans on facial recognition technology,which oftenmisidentifies people of color at higher rates.

Pichai has thrown his support behind a temporary ban onfacial recognition technology, which he says can be used for "nefarious" purposes.

"I think it is important that governments and regulations tackle it sooner rather than later and give a framework for it, Pichai said at a conference in Brussels this week.It can be immediate, but maybe theres a waiting period before we really think about how its being used. ... Its up to governments to chart the course.

Microsoft has also released its own ideas around how to regulatefacial recognition tech, and says it abides by a strict set of AI ethics standards.

In 2018, Pichai spent his speech in Davos, Switzerland, toutingthe enormous potential of artificial intelligence, presenting a rosier view of the technologybefore it experienced an intense backlash over the past several years.

Now, as Europe and the U.S. creep closer to instituting rules around many of the products that Google creates, Pichai is raising his voice around what he sees as the best approach to AI.

"Googles role starts with recognizing the need for a principled and regulated approach to applying AI, but it doesnt end there," Pichai wrote. "We want to be a helpful and engaged partner to regulators as they grapple with the inevitable tensions and trade-offs. We offer our expertise, experience and tools as we navigate these issues together."

Read the original post:
Google CEO: 'Artificial intelligence needs to be regulated' | TheHill - The Hill

Read More..

How the Pentagon’s JAIC Picks Its Artificial Intelligence-Driven Projects – Nextgov

The Pentagon launched its Joint Artificial Intelligence Center in 2018 to strategically unify and accelerate AI applications across the nations defense and military enterprise. Insiders at the center have now spent about nine months executing that defense driven AI-support.

At an ACT-IAC forum in Washington Wednesday, Rachael Martin, the JAICs mission chief of Intelligent Business Automation Augmentation and Analytics, highlighted insiders early approach to automation and innovation.

Our mission is to transform the [Defense] business process through AI technologies, to improve efficiency and accuracybut really to do all those things so that we can improve our overall warfighter support, Martin said.

Within her specific mission area, Martin and the team explore and develop automated applications that support a range of efforts across the Pentagon, such as business administration, human capital management, acquisitions, finance and budget training, and beyond. Because the enterprise is vast, the center is selective in determining the projects and programs best fit to be taken under its wing.

For the JAIC, there are a couple of key principles that we want to go by, or that we're going to adhere to when we're looking at a project and whether we support it, Martin explained.

The first principle to be evaluated is mission impact. In this review, insiders pose questions like who cares? she said. They assess the user-base that would most benefit from the project and what the ultimate outcome would be across Defense if the JAIC opted to support it. Next, according to Martin, officials review data-readiness. In this light, insiders address factors like where the data to be used is storedand whether its actually prepped for AI, or more advanced analysis and modeling to run on top of it.

The third factor thats assessed is technology maturity. Martin said that contrary to what many seem to think, the JAIC is not a research organization but instead seeks to apply and accelerate their adoption of already-existing solutions across the department and where those improvements are needed most. Insiders are therefore not at all interested in spending heaps of time researching new, emerging AI and automation applications. Instead, they aim to identify what already exists and is ready to be deployed at this moment.

So that's a big one for us that we like to emphasize, Martin said.

The final assessment is whether the JAIC can identify Defense insiders who will actually use whatever they are set to build. When developing something new, Martin said insiders want to those itll eventually touch to weigh in on the development every step of the way.

We're not in the business of coming up with good ideas and then creating something and trying to hoist it on somebody else, Martin said. We really believe in a very user-centric approach.

Read the original here:
How the Pentagon's JAIC Picks Its Artificial Intelligence-Driven Projects - Nextgov

Read More..

Artificial Intelligence (AI) in Retail Market to Reach USD 23,426.3 Million by 2026; Rising Awareness About the Advantages of AI in Retail Operations…

PUNE, India, Jan. 23, 2020 /PRNewswire/ -- The global artificial intelligent (AI) in retail market size is estimated to reach USD 23,426.3 million by 2026, exhibiting a CAGR of 33.7% during the forecast period. The ongoing shift by retailers from traditional retail experience to AI-driven business solutions is one of the crucial factors enabling the growth of the AI in retail market. According to an article published by Forbes, 83% believe AI is a strategic priority for their businesses today and 84% of respondents say AI will enable them to obtain or sustain a competitive advantage. The growing awareness about the advantages of AI in retail operations such as quality improvement, paced up decision making, strong operational agility and enhanced customer experience will boost the AI in retail market growth in the forthcoming years. In addition, exceptional benefits of AI-powered data analytics will further spur demand for AI in retail market in the foreseeable future.

According to the report, published by Fortune Business Insights in a report, titled "Artificial Intelligence (AI) in Retail MarketSize, Share & Industry Analysis, By Offering (Solutions, Services), By Function (Operations-Focused, Customer-Facing), By Technology (Computer Vision, Machine Learning, Natural Language Processing, and Others), and Regional Forecast, 2019-2026" the AI in retail market size was valued at USD 2,306.8 million in 2018. The report is aimed at delivering a comprehensive view of the AI in retail market dynamics, structure by identifying and providing information regarding the key market segments. It also focuses on an all-encompassing analysis of leading market players by financial position, product, product portfolio, price, growth strategies, and regional presence. It offers porter's analysis and SWOT analysis to record the question of shareholders and highlights the investment potential in the upcoming future. It also showcases different procedures and strategies of companies currently operating in the market. It further examines the components convincing market expansion, growth patterns, restricting factors and market strategies.

To gain more insights into the market with detailed table of content and figures, click here: https://www.fortunebusinessinsights.com/artificial-intelligence-ai-in-retail-market-101968

Disposition to AI-powered Chat Bots by Retailers Will Encourage Market Expansion

The growing inclination of retail brands for the deployment of AI-powered chatbots for customer engagement will augment healthy growth of the market in the forthcoming years. Retail brands are able to handle several queries simultaneously with the help of chatbots, without the need to employ a large workforce. The positive impact of artificial intelligence on customer relations and sales will spur demand for AI in retail. Furthermore, close-ended chatbots are configured to answer shopping-related questions, provide quick support and suggestions besides offering a better resolution to their problem. Customers are more likely to engage with AI-powered chatbots, which, in turns enhances customer loyalty. These factors combined will accelerate the AI in retail market share in the foreseeable future.

Emergence of Virtual Trial Rooms to Bolster Healthy Growth

The increasing popularity of virtual trial rooms and ongoing development across retail supply chains will aid the AI in retail market trend during the forecast period. For instance, virtual trial rooms enable buyers to try different dresses without actually having to wear them with the help of digital mirrors. Further, AI allows shoppers to experiment with their outfit by means of a touch-based interface. In addition, the launch of virtual rooms by major companies to create growth opportunities for the market. For instance, Fitiquette, a fashion Web site uses a ground-breaking technology that allows customers to try on outfits in a virtual 3D world based on the user's exact body dimensions. The trial room gives a 360-degree view of the fit and drape of a garment on the actual body dimensions of the consumer.

Request a Sample Copy: https://www.fortunebusinessinsights.com/enquiry/request-sample-pdf/artificial-intelligence-ai-in-retail-market-101968

Introduction of AI Integrated Products and Solutions to Foster Growth in Asia Pacific

North America was valued at USD 1,102.0 million and is expected to remain dominant during the forecast period. The rising deployment of AI-based solutions by retailers to improve the supply chain operations and product portfolio will contribute positively to the AI in retail market revenue. Asia Pacific is expected to grow rapidly during the forecast period owing to the launch of various AI integrated products and solutions. For instance, China is expected to be a world-leading AI center by 2030.

List of the Major Companies in the Global Artificial Intelligence (AI) in Retail Market include:

Have Any Query? Ask Our Experts:https://www.fortunebusinessinsights.com/enquiry/speak-to-analyst/artificial-intelligence-ai-in-retail-market-101968

Table of Content:

o Definition, By Segment

o Research Approach

o Sources

o Drivers, Restraints and Opportunities

o Emerging Trends

o Macro and Micro Economic Indicators

o Consolidated SWOT Analysis of Key Players

o Porter's Five Forces Analysis

o Key Findings / Summary

o Market Size Estimates and Forecasts

Continued..!!!

Request for Customization:https://www.fortunebusinessinsights.com/enquiry/customization/artificial-intelligence-ai-in-retail-market-101968

(Have a Look at Reports Trending inInformation & TechnologyIndustry)

Browse Related Reports:

Internet of Things (IoT) MarketSize, Share and Industry Analysis By Platform (Device Management, Application Management, Network Management), By Software & Services (Software Solution, Services), By End-Use Industry (BFSI, Retail, Governments, Healthcare, Others) And Regional Forecast, 2019 2026

Artificial Intelligence (AI) MarketSize, Share and Global Trend by Component (Hardware, Software, Services), By Technology (Computer Vision, Machine Learning, Natural Language Processing, Others), By Industry Vertical (BFSI, Healthcare, Manufacturing, Retail, IT & Telecom, Government, Others) and Geography Forecast till 2026

Big Data Technology Market Size, Share & Industry Analysis, By Offering (Solution, Services), By Deployment (On-Premise, Cloud, Hybrid), By Application (Customer Analytics, Operational Analytics, Fraud Detection and Compliance, Enterprise Data Warehouse Optimization, Others), By End Use Industry (BFSI, Retail, Manufacturing, IT and Telecom, Government, Healthcare, Utility, Others) and Regional Forecast, 2019-2026

Retail Cloud MarketSize, Share & Industry Analysis, By Model Type (Infrastructure as a Service, Platform as a Service and Software as a Service), By Deployment (Public, Private and Hybrid Cloud), By Solution (Supply Chain Management, Workforce Management, Customer Management, Reporting & Analytics, Data Security, Omni-Channel), By Enterprise Size (Small & Medium and Large Enterprise) and Regional Forecast, 2019-2026

Natural Language Processing (NLP) MarketSize, Share & Industry Analysis, By Deployment (On-Premises, Cloud, and Hybrid), By Technology (Interactive Voice Response (IVR), Text Analytics, Speech Analytics, Pattern and Image Recognition, and Others), By Industry Vertical (Healthcare, Retail, BFSI, Automotive & Transportation, Advertising & Media, Manufacturing, and Others) and Regional Forecast, 2019-2026

Unified Communication as a Service (UCaaS) MarketSize, Share & Industry Analysis, By Component (Telephony, Unified Messaging, Collaboration Platforms, Conferencing, and Reporting and Analytics), By Organization Size (SMEs, Large Enterprises), By End-User (Banking, Financial Services, and Insurance (BFSI), IT and Telecommunications, Healthcare, Public Sector and Utilities, and Others) and Regional Forecast, 2019-2026

3D Printing MarketSize, Share & Industry Analysis, By Component (Hardware, Software, and Services), By Technology (Fused Deposition Modeling, Selective Laser Sintering, Stereolithography, Direct Metal Laser Sintering, PolyJet, Multi Jet Fusion (MJF), Others) By Applications (Prototyping, Production, Proof of Concept, and Others), By End-Use (Automotive, Aerospace and Defense, Healthcare, Others) and Regional Forecast, 2019-2026

Internet of Things (IoT) in Manufacturing MarketSize, Share & Industry Analysis, By Platform (Device Management, Application Management, Network Management), By Software & Services (Software Solution and Services), By Application (Predictive Maintenance, Asset Tracking and Management, Logistics and Supply Chain Management, Real-Time Workforce Tracking and Management, Emergency and Incident Management and Others) and Regional Forecast, 2019-2026

Cyber Security MarketSize, Share & Industry Analysis, By Component (Solutions, Services), By Deployment (On-Premises, Cloud), By Organization Size (SMEs, Large Enterprises), By End-User (BFSI, IT and Telecommunications, Retail, Healthcare, Government, Manufacturing, Travel and Transportation, Energy and Utilities and Others) and Regional Forecast, 2019 2026

Virtual Reality MarketSize, Share & Industry Analysis, By Offering (Hardware, Software), By Technology (Nonimmersive, Semi-Immersive), By Industry Vertical (Gaming & Entertainment Media, Healthcare, Education, Automotive, Aerospace & Defense, Manufacturing), By Application (Training & Simulation, Educational, Attraction, Research & Development) and Regional Forecast, 2019 2026

Endpoint Security MarketSize, Share and Global Trend By Component (Software, Services), By Deployment (On-Premise, Cloud), By Enterprise Size (Large Enterprises, Small & Medium Enterprises), By End-Use Industry (BFSI, Telecom & IT, Retail, Healthcare, Government & Public Sector, Transportation, and Others) and Geography Forecast, 2019-2026

Fraud Detection and Prevention MarketSize, Share and Industry Analysis By Component (Solutions, Services), By Application area (Insurance Claims, Services, Money Laundering), By Deployment (Cloud & On-premise), By Organization Size (Large, Small & Medium Enterprises), By Vertical (BFSI, IT and Telecommunication, Government,Travel and Transportation, Manufacturing, Healthcare and Life Sciences) and Geography Forecast, 2019 2026

Identity And Access Management MarketSize, Share and Industry Analysis By Component (Provisioning, Directory Services, Single Sign-On, Others), By Deployment Model (Cloud, On-Premises), By Enterprise Size (Large Enterprises, Small and Medium Enterprises), By Industry Vertical (BFSI, IT and Telecom, Retail and Consumer Packed Goods, Others) And Regional Forecast 2019-2026

About us:

Fortune Business Insights offers expert corporate analysis and accurate data, helping organizations of all sizes make timely decisions. We tailor innovative solutions for our clients, assisting them address challenges distinct to their businesses. Our goal is to empower our clients with holistic market intelligence, giving a granular overview of the market they are operating in.

Our reports contain a unique mix of tangible insights and qualitative analysis to help companies achieve sustainable growth. Our team of experienced analysts and consultants use industry-leading research tools and techniques to compile comprehensive market studies, interspersed with relevant data.

At Fortune Business Insights we aim at highlighting the most lucrative growth opportunities for our clients. We therefore offer recommendations, making it easier for them to navigate through technological and market-related changes. Our consulting services are designed to help organizations identify hidden opportunities and understand prevailing competitive challenges.

Contact Us:

Fortune Business Insights Pvt. Ltd. 308, Supreme Headquarters, Survey No. 36, Baner, Pune-Bangalore Highway, Pune - 411045, Maharashtra, India.Phone:US: +1-424-253-0390 UK: +44-2071-939123 APAC: +91-744-740-1245 Email: sales@fortunebusinessinsights.com Fortune Business Insights

LinkedIn| Twitter| Blogs

Press Release-https://www.fortunebusinessinsights.com/press-release/artificial-intelligence-ai-in-retail-market-9527

SOURCE Fortune Business Insights

More:
Artificial Intelligence (AI) in Retail Market to Reach USD 23,426.3 Million by 2026; Rising Awareness About the Advantages of AI in Retail Operations...

Read More..

Artificial intelligence to study the behavior of Neanderthals – HeritageDaily

- Advertisement -

Abel Mocln, an archaeologist at the Centro Nacional de Investigacin sobre la Evolucin Humana (CENIEH), has led a study which combines Archaeology and Artificial Intelligence, published in the journalArchaeological and Anthropological Sciences, about the Navalmallo Rock Shelter site, situated in the locality of Pinilla de Valle in Madrid, which shows the activity by Neanderthal groups of breaking the bones of medium-sized animals such as deer, for subsequent consumption of the marrow within.

The particular feature of the study lies in its tremendous statistical potential. For the first time, Artificial Intelligence has been used to determine the agent responsible for breaking the bones at an archaeological site, with highly reliable results, which it will be possible to compare with other sites and experiments in the future.

Credit: CENIEH

We have managed to show that statistical tools based on Artificial Intelligence can be applied to studying the breaking of the fossil remains of animals which appear at sites, states Mocln.

In the work, it is not just this activity carried out by the Neanderthals which is emphasized, but also aspects of the methodology developed by the authors of the study. On this point, Mocln insists on the importance of Artificial Intelligence as this is undoubtedly the perfect line of work for the immediate future of Archaeology in general and Taphonomy in particular.

The largest Neanderthal settlement

The Navalmallo Rock Shelter, about 76,000 years old, offers one of the few large windows into Neanderthal behavior within the Iberian Meseta. With its area of over 300 m2, it may well be the largest Neanderthal camp known in the center of the Iberian Peninsula, and it has been possible to reveal different activities conducted by these hominins here, such as hunting large animals, the manufacture of stone tools and the systematic use of fire.

In this study, part of the Valle de los Neandertales project, which includes other locations in the archaeological site complex of Calvero de la Higuera, the collaborating researchers were Rosa Huguet, of the IPHES in Tarragona, Beln Mrquez and Csar Laplana, of the Museo Arqueolgico Regional in Madrid, as well as the three codirectors of the Pinilla del Valle project: Juan Luis Arsuaga, Enrique Baquedano and Alfredo Prez Gonzlez.

CENIEH

Header Image Abrigode Navalmallo Credit: CENIEH

- Advertisement -

Read the rest here:
Artificial intelligence to study the behavior of Neanderthals - HeritageDaily

Read More..

Ray Bradbury on War, Recycling, and Artificial Intelligence – JSTOR Daily

One of the roles of science fiction is to provide readers with a glimpse of how the future could be. Ray Bradbury didnt get everything about the future right. We havent yet seen books and reading made illegal (as in his 1953 Fahrenheit 451), just as we havent yet discovered another planet ready for American colonizers (as in his 1950 The Martian Chronicles). And yet, the themes he explored in those booksmass media and censorship, colonization and environmental changeare more relevant than ever. Even in his lesser-known workssuch as the 1951 sci-fi collection, The Illustrated Man, Bradbury tackles a surprising array of issues that feel as if they were ripped from todays headlines.

Readers today will find in The Illustrated Man a fresh perspective that illuminates global issues like artificial intelligence and climate change. Bradbury also engages with the political and cultural challenges of migration: specifically, the crossing of the U.S.Mexico border, which has since received much attention with the dawn of the so-called Trump Era.

* * *

Theres a story in The Illustrated Man called The Highway, where Bradbury tells a tale about the beginning of an atomic war in the US. The war, however, is experienced through the eyes of a Mexican peasant, Hernando, who lives next to a highway in northern Mexico.

One day, Hernando glimpses a procession of hundreds of American tourists driving north to return to the US. They are heading home, that is, to join the fight in an upcoming atomic war. When the last car stops by Hernando, he sees a group of young Americans crying for help: their car needs water to continue their way back home. Right before they leave, the driver tells Hernandowho doesnt know why all the cars are driving so fast or why these young Americans are so desperatethat the end of the world has finally arrived. Hernando doesnt react to the young mans confession. The car leaves. Hernando goes back to his rural routine, but suddenly stops to wonder: What do they mean the World?

Here, Bradbury highlights the generational and cultural gap between the young Americans and the aging Hernando, who lives with his wife and works their land, recycling the automobile waste that travelers from north of the border leave behind. Its a harrowing scene, but also terrifically realistic: it illustrates not only the clashing of multiple incompatible worldviews, but shows how all such worldseven those seemingly distant from the centers of powerare threatened by contemporary global dangers. Its moments like these that ensure Bradburys relevance, even one hundred years after his birth.

* * *

Bradburys eye for contemporary troubles extends beyond the dangers of global disaster. In the prologue to The Illustrated Man, Bradbury introduces a character who has an existential problem: his torso is covered in living tattoos. Having the tattoos becomes a curse because the illustrations on his body acquire life of their own. The living illustrations unveil an ominous, even prophetic future for the person that looks at them. The Illustrated Man describes his curse:

So people fire me when my pictures move. They dont like it when violent things happen in my illustrations. Each illustration is a little story. If you watch them, in a few minutes they tell you a tale. In three hours of looking you could see eighteen or twenty stories acted right on my body, you could hear voices and think thoughts. Its all here, just waiting for you to look.

Unexpectedly, through this illustrated character, Bradbury highlights the possible dangers of Artificial Intelligence (AI).

Today, there are fears that AI will permeate and disrupt the political organization of postmodern societies. For instance, AI can predict the affinities and choices of an individual based on the application of algorithms. What The Illustrated Man shows is the consequence of those predictions once revealed to ordinary people. The Illustrated Man, not without melancholy, says:

If Im with a woman, her picture comes there on my back, in an hour, and shows her whole lifehow shell live, how shell die, what shell look like when shes sixty. And if its a man, an hour later his pictures here on my back. It shows him falling off a cliff, or dying under a train. So Im fired again.

In his article If Planet Death Doesnt Get Us, an AI Superintelligence Most Certainly Will, Bryan Walsh suggests that if a super artificial intelligence becomes able to disregard human valueswhile also increasing its intelligencethen humanity might end up controlled by a nonhuman entity with a vision of the future that does not adhere to the crucial ethical issues that societies are facing today.

The Illustrated Man, as Bradbury formulated him, can be read as a metaphor for the intersection between human values (the jobless fate of the Illustrated Man) and a superintelligence that determines human life through visual representations of the future (the living, prophetic tattoos). Most importantly, Bradburys story doesnt prophesize the invention of this particular machine so much as it examines the ways in which humans would react to such an invention.

The fear that individuals will surrender their ethical compasses to technology is a constant specter in Bradburys stories. In The Illustrated Man, this fear is represented by the refusal of the characters to accept the futures that the illustrations predict for them. Bradburys Illustrated Man, and those around him, represent the ways that humans will struggle againstand violently rejectthe enigmatic directives of any intelligence beyond our own, even if (as Bradbury notes) the intelligence is speaking truthfully.

* * *

Where did Bradburys inspiration for these particular stories in The Illustrated Man come from? The clashes he foresaw in the futurequestions of AI and global catastrophe, atomic war and border crossingcame from his own forays into Mexico in 1945.

In fact, Bradbury himself experienced the traumatic effects of crossing the USMexico border. Between October and November of 1945, Bradbury and his friend Grant Beach traveled from Los Angelesacross southern Arizona, New Mexico, and Texasto Mexico City. On their way, they found swarms of locusts and other hardships familiar from news stories today. But what was most shocking and traumatic for Bradbury was that this trip into Mexico surprisingly challenged his own deeply-held, exotic ideas about Mexican people, which he had acquired while growing up in East Los Angeles.

While in Mexico City, Bradbury spent most of his time seeking the murals of Jos Clemente Orozco, David Alfaro Siqueiros, and Diego Rivera. It is possible to suggest that Bradbury found inspiration for The Illustrated Man in these murals. The muralsperhaps what Bradbury saw as informative, or even prophetic, illustrationsrepresent past, present, and future Mexican society from a Marxist perspective, featuring people in motion with plenty of stories, colors, and historical clues (thus bringing to the audience a multilayered experience).

One of the most famous paintings by David Alfaro Siqueiros, Our Present Time, depicts a faceless man reaching with arms wide open to a space ahead of him, embracing an uncertain future. This is the very same fate of the Illustrated Man. Furthermore, many of the catastrophic themes that Bradbury engages with in The Illustrated Man are also present in these Mexican murals.

* * *

What future did Bradbury see for us? And did he embrace it? In The Fox and the Forest, included in The Illustrated Man, Bradbury sets his story explicitly in Mexico. The plot of the story is not complicated: William and Susan Travis are a married couple living in the year 2155.

That year is not a good time to be alive, since there is war, slavery, and a generalized social unhappiness. In order to escape from the apocalyptic 2155, the couple travel in time back to 1938 rural Mexico, where they believe that peace, simplicity, and happiness can be found. When it seems that they have been able to escape from their time, the 2155 police show up to take them back to the future, thus frustrating the couples escapade.

This narrative has a very pessimistic tone, evoking the nostalgia of older and happier times. Those from the future view our present as superior to their own time. Bradburys dark future, it seems, is unavoidableeven in our own present day.

* * *

More than 60 years ago, The Martian Chronicles (1950), Fahrenheit 451 (1953), and The Illustrated Man (1951) fascinated the young members of the generation growing up after the darkness of the Second World War, but before the new kinds of wars known to our own era. Now, as the 21st century unravelswith all of its challenges, technological dilemmas, and even proliferation of tattoosBradbury remains a fundamental figure of the sci-fi genre.

Bradbury had certainly not anticipated that by 2020 (like what Hernando does in The Highway) recycling was going to become a mainstream human endeavor, or that the USMexico border was going to catalyze many of the 21stcentury anxieties about global migration and demographic explosion. And yet, his stories seem to rhyme with our own era. Readers will keep finding in Bradburys tales about the future a contemporary interpretation of our everlasting fears about the end of the world, as well as a whisper of hope.

In the epilogue of The Illustrated Man, the narrator sees his own death in one of the living tattoos: it is the Illustrated Man that chokes him to death. The narrator decides to run away from this terrible fate. In this age of global catastrophe, who doesnt recognize the desire to run from such incontrovertible proofs of the worlds doom?

And yet, just like the world today, Bradbury too oscillated between utopia and dystopia. For as many people shown running from their prophesied demises, Bradbury shows young peoplelike those who Hernando couldnt understandcharging home to meet a near-certain death. Bradburys work, ultimately, is for them: those readers who believe that science fiction is an effective tool to illustrate how the worst consequences of todays global political decisions will be faced by future generations.

Young people are approaching an uncertain globalized future with plenty of possible outcomes, both dystopian and utopian. Nothing is simple: the technology that Walsh decries, the kind that the Illustrated Man fears, is even today becoming an effective tool for social mobilizations (lets think about the protests, from Hong Kong to Chile, organized through social media). Meanwhile, today, we know more than ever that any fight for the future will require the work and sacrifice of the whole world: not just car-driving Americans, but people like Hernando, too. Clearly, even Bradbury cant get everything right.

Perhaps, if Bradbury was alive today, he would ask young people: what role will you play, when my future comes crashing into your present?

Support JSTOR Daily! Join our new membership program on Patreon today.

Go here to see the original:
Ray Bradbury on War, Recycling, and Artificial Intelligence - JSTOR Daily

Read More..

Using artificial intelligence to speed up cancer detection – University of Leeds

The Secretary of State for Digital, Culture, Media and Sport visited the University today to hear how researchers are being trained to deploy artificial intelligence (AI) in the fight against cancer.

Baroness Nicky Morgan met PhD researchers involved increating the next generation of intelligent technology that will revolutionisehealthcare.

The University is one of 16 centres for doctoral training inAI funded by UKResearch and Innovation, the Government agency responsible forfostering research and development.

The focus of the doctoral training at Leedsis to develop researchers who can apply AIto medical diagnosisand care.

Scientists believe intelligent systems and data analyticswill result in quicker and more accurate diagnosis. Early detection is at theheart of the NHS planto transform cancer survival rates by 2028.

Baroness Morgan said: "Weare committed to being a world leader in artificial intelligence technology andthrough our investment in 16new Centres for Doctoral Training we arehelping train the next generation of researchers.

"It was inspirational to meet some of the leading experts from medicineand computer science working in the new centre at Leeds Universitytoday.They are doing fantastic work to diagnose cancer quicker whichcould save millions of lives."

Baroness Morgan spent time talking to the PhD researchers.

Professor Lisa Roberts, Deputy Vice-Chancellor: Research and Innovation with Baroness Nicky Morgan

Anna Linton is a neuroscientist accepted onto the firstcohort of the programme, which started in the autumn.

She said: The healthcare system can generate a vastquantity of information but sometimes it is assessed in isolation.

I am interested in researching AI systems that can analysemedical notes, the results of pathology tests and scans and identify patternsin that disparate information and make order of it, to give a unified pictureof a patients health status.

That information will help the GP or other healthcareprofessional make a more precise diagnosis.

Dr Emily Clarke is a hospital doctor specialising inhistopathology, the changes in tissue caused by disease. She is an associatemember of the doctoral training programme on a research scholarship from the Medical Research Council.

She wants to develop an AI system to improve the diagnosisof melanoma, a type of skin cancer whose incidence, according to CancerResearch UK, has more than doubled since the early 1990s. It has thefastest rising incidence of any cancer.

Melanoma is detected from the visual examination by ahistopathologist of tissue samples taken during a biopsy. But up to one in sixcases is initially misdiagnosed.

Dr Clarke said: I am hoping we can develop an automatedsystem that can help histopathologists identify melanoma. Diagnosing melanomacan be notoriously difficult so it is hoped that in the future AI may helpbuild a knowledge base of the types of cell changes that are suggestive ofmelanoma and provide a more accurate prediction of a patients prognosis."

Dr Emily Clarke discussing her research project

About 10 researchers will be recruited onto the training programmeeach year. When it is fully up and running, there will be 50 people studyingfor a PhD.

We cant be complacent. We need to ensure there are enough talented and creative people with the skills and knowledge to harness and develop this powerful technology.

Professor Lisa Roberts, Deputy Vice-Chancellor: Researchand Innovation, said: The research at Leeds will ensure the UK remains at theforefront of an important emerging technology that will shape healthcare forfuture generations.

There is little doubt that our researchers will becontribute to future academic and industrial breakthroughs in the field of AI,enabling industry in the UK to remain at the heart of innovation in AI.

David Hogg, Professor of Artificial Intelligence and Director of the Leeds Centre forDoctoral Training, said: The UK is a world leader in AI.

But we cant be complacent. We need to ensure there areenough talented and creative people with the skills and knowledge to harnessand develop this powerful technology.

The PhD researchers will be supervised by leading expertsin computer science and medicine from the University and Leeds TeachingHospitals NHS Trust. To harness thetechnology requires researchers with a strong understanding of medicine,biology and computing and we aim to give that to them.

The researchers joining the Leeds training programme come from a range ofbackgrounds: some are computer scientists and others are biologists orhealthcare professionals but all are able to think computationally and are able to express problems and solutions in a form that can be executed by a computer.

The programme is hosted bythe Leeds Institute for Data Analytics (LIDA), establishedwithUniversityinvestmenttosupport innovation in medical bioinformatics, funded by the MedicalResearch Council, andConsumer Data, funded by the Economic and Social Research Council.

LIDA has now grown to support aportfolio in excess of 45 million of research across the University, bringingtogether over 150 researchers and data scientists. It supports the Universityspartnership withthe Alan Turing Institute, the UKs national institute for data scienceand artificial intelligence.

The University has a strong track record in applyingdigital technologies to healthcare. In partnership with Leeds TeachingHospitals NHS Trust, it is bringing together nine hospitals, seven universitiesand medical technology companies to create a digital pathology network whichwill allow medical staff to collaborate remotely and to conduct AI research. This is known as the Northern Pathology Imaging Co-operative.

Leeds Teaching Hospitals NHS Trust is a leader in usingdigital pathology for cancer diagnosis.

Main photo shows some of the PhD researchers with - front, from left - Professor David Hogg, Director of the Leeds Centre for Doctoral Training, Baroness Nicky Morgan, Secretary of State for Digital, Media, Culture and Sport, and Professor Lisa Roberts, Deputy Vice-Chancellor: Research and Innovation.

See the article here:
Using artificial intelligence to speed up cancer detection - University of Leeds

Read More..

Implementing Artificial Intelligence In Your Business (infographic) – Digital Information World

Learning by doing is a great thing unless its costing you money, then it may not seem worth it. In the business world when new technologies come around it may be tempting to take a wait and see approach to them, watching your competitors successes and failures before taking the time to implement new technologies. Unfortunately when it comes to artificial intelligence (AI), the potential payoff is too big to ignore, and waiting to see how your competitors do implementing this technology could leave your business in the dust.

Taking the right steps toward implementing AI is crucial. Some companies know that they need to hire a data scientist but they dont know what they expect the person to do and they will try to hire someone with no framework or plan in place.

The first step toward integrating artificial intelligence into your business strategy is to take it seriously and make a plan for how it will work. Start with an end goal in mind and work your way back from there. Next, figure out exactly what AI application will help you achieve that goal. With that in mind, start a pilot program with a targeted goal, keeping in mind that it could take a year or more to see any results from such a program.

While going through the growing pains of implementing an enterprise-wide system of AI, it may seem as though this technology is a huge waste of time and money. Learning by doing is a valuable way to understand the ins and outs of any new technology, and even if your companys experiment fails you can still gain valuable insights from failures. These insights can help you find a better focus for your next artificial intelligence experiment.

Currently, fewer than a third of AI pilots progress past the exploratory state to be fully implemented. This does not mean failure, though, it simply means the hypothesis needs to be adjusted before the experiment is altered and started again from the beginning. As with any new technology, there are going to be growing pains and opportunities to learn more.

This can translate to many different outcomes. AI algorithms can be used to reduce waste and improve quality by removing unnecessary variables. It can help meet rising demand and cut variable costs through analysis. It can make adjustments and predict when the market will shift. Some examples from real businesses:

Today, more than 60% of business leaders urgently need to find and implement a strategy for using artificial intelligence in their businesses, but less than half of those actually have a plan. Learn more about implementing AI in your business below.

The rest is here:
Implementing Artificial Intelligence In Your Business (infographic) - Digital Information World

Read More..

Artificial intelligence to update digital maps and improve GPS navigation – Inceptive Mind

While Google and other technology giants have their own dynamics to keep the most detailed and up-to-date maps possible, it is an expensive and time-consuming process. And in some areas, the data is limited.

To improve this, researchers at MIT and Qatar Computing Research Institute (QCRI) have developed a new machine-learning model based on satellite images that could significantly improve digital maps for GPS navigation. The system, called RoadTagger, recognizes the types of roads and the number of lanes in satellite images, even in spite of trees or buildings that obscure the view. In the future, the system should recognize even more details, such as bike paths and parking spaces.

RoadTagger relies on a novel combination of a convolutional neural network (CNN) and a graph neural network (GNN) to automatically predict the number of lanes and road types (residential or highway) behind obstructions.

Simply put, this model is fed only raw data and automatically produces output without human intervention. Following this dynamic, you can predict, for example, the type of road or if there are several lanes behind a grove, according to the analyzed characteristics of the satellite images.

The researcher team has already tested RoadTagger using real data, covering an area of 688 square kilometers of maps of 20 U.S. cities, and achieved 93% accuracy in the detection of road types and 77% in the number of lanes.

Maintaining this degree of accuracy on digital maps would not only save time and avoid many headaches for drivers but could also prevent accidents. And of course, it would be vital information in case of emergency or disasters.

The researchers now want to further improve the system and also record additional properties, including bike paths, parking bays, and the road surface after all, it makes a difference for drivers whether a former gravel track is now paved somewhere in the hinterland.

Read more:
Artificial intelligence to update digital maps and improve GPS navigation - Inceptive Mind

Read More..

Artificial Intelligence can be used in judicial process but cannot replace human discretion: CJI – Gadgets Now

NEW DELHI: Chief Justice of India S A Bobde on Friday underlined the need for artificial intelligence (AI) in the judicial system, especially in cases of repetitive nature and document management, to expedite dispute resolution process.

He, however, cautioned that AI cannot replace human discretion, which is necessary for a just decision making.

Speaking at 79th Foundation Day celebration of the Income Tax Appellate Tribunal (ITAT), the Chief Justice of India said the use of technology in judicial functioning is a fascinating area and a significant breakthrough.

"Though I must make one thing clear: Because we have been dealing with the introduction of artificial intelligence in courts, I am firmly of the view, based on the experience of systems that have used artificial intelligence, that it is only the repetitive area or decision making such as rates of taxation, etc, or something that is invariably the same or which is in a sense mechanical, and that must be covered by artificial intelligence," he said.

AI can play a significant role in tribunals like ITAT in docket management and decision making, he said adding that "the artificial intelligence system we are looking to employ in courts possesses the reading speeds of 1 million character per second. I can imagine a similar system can be used to read and extract all relevant facts, compute tax effect and assist in a myriad of ways to propel the pace of decision making".

Bobde added that it is reassuring to discover that more nations are taking up steps towards experimenting and implementing AI in their respective justice delivery systems.

See the original post here:
Artificial Intelligence can be used in judicial process but cannot replace human discretion: CJI - Gadgets Now

Read More..

DeepMind Discovers New Correlation Between Neuroscience and AI – Analytics Insight

We usually hear a lot about human-level AI or artificial intelligence but little do we realize that the human mind and AI are actually quite interlinked. The brains neural network and artificial neural network possess some similarities between themselves. Both are trained on data, while the brain learns from real-life data and experiences involuntarily, AI neural networks are trained purposely with gathered data voluntarily. Both respond in accordance with the learnings they have received. Moreover, with the advancement in technology AI has begun to learn and evolve on its own which is quite similar to the regular evolution of the human brain.

However, they do have tons of differentiation as well, but when it comes to neuroscience and AI, they are way more connected than one could ever wonder.

AI is more linked to dopamine-reinforced learning than you may think. DeepMind AI published a blog post on their discovery that the human brain and AI learning methods are closely linked when it comes to learning through reward.

Computer scientists have developed algorithms for reinforcement learning in artificial systems. These algorithms enable AI systems to learn complex strategies without external instruction, guided instead by reward predictions.

As noted by the post, a recent development in computer science which yields significant improvements in performance on reinforcement learning problems may provide a deep, parsimonious explanation for several previously unexplained features of reward learning in the brain, and opens up new avenues of research into the brains dopamine system, with potential implications for learning and motivation disorders.

DeepMind found that dopamine neurons in the brain were each tuned to different levels of pessimism or optimism. If they were a choir, they wouldnt all be singing the same note, but harmonizing each with a consistent vocal register, like bass and soprano singers. In artificial reinforcement learning systems, this diverse tuning creates a richer training signal that greatly speeds learning in neural networks, and researchers speculate that the brain might use it for the same reason.

The existence of distributional reinforcement learning in the brain has interesting implications both for AI and neuroscience. Firstly, this discovery validates distributional reinforcement learning it gives researchers increased confidence that AI research is on the right track since this algorithm is already being used in the most intelligent entity they are aware of: the brain.

Secondly, it raises new questions for neuroscience and new insights for understanding mental health and motivation. What happens if an individuals brain listens selectively to optimistic versus pessimistic dopamine neurons? Does this give rise to impulsivity or depression? A strength of the brain is its powerful representations how are these sculpted by distributional learning? Once an animal learns about the distribution of rewards, how is that representation used downstream? How does the variability of optimism across dopamine cells relate to other known forms of diversity in the brain?

Finally, DeepMind hopes that asking and answering these questions will stimulate progress in neuroscience that will feed back to benefit AI research, completing the virtuous circle.

Share This ArticleDo the sharing thingy

About AuthorMore info about author

Smriti is a Content Analyst at Analytics Insight. She writes Tech/Business articles for Analytics Insight. Her creative work can be confirmed @analyticsinsight.net. She adores crushing over books, crafts, creative works and people, movies and music from eternity!!

Go here to read the rest:
DeepMind Discovers New Correlation Between Neuroscience and AI - Analytics Insight

Read More..