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Machine Learning and Artificial Intelligence Are Poised to Revolutionize Asthma Care – Pulmonology Advisor

The advent of large data sets from many sources (big data), machine learning, and artificial intelligence (AI) are poised to revolutionize asthma care on both the investigative and clinical levels, according to an article published in the Journal of Allergy and Clinical Immunology.

According to the researchers, a patient with asthma endures approximately 2190 hours of experiencing and treating or not treating their asthma symptoms. During 15-minute clinic visits, only a short amount of time is spent understanding and treating what is a complex disease, and only a fraction of the necessary data is captured in the electronic health record.

Our patients and the pace of data growth are compelling us to incorporate insights from Big Data to inform care, the researchers posit. Predictive analytics, using machine learning and artificial intelligence has revolutionized many industries, including the healthcare industry.

When used effectively, big data, in conjunction with electronic health record data, can transform the patients healthcare experience. This is especially important as healthcare continues to embrace both e-health and telehealth practices. The data resulting from these thoughtful digital health innovations can result in personalized asthma management, improve timeliness of care, and capture objective measures of treatment response.

According to the researchers, the use of machine learning algorithms and AI to predict asthma exacerbations and patterns of healthcare utilization are within both technical and clinical reach. The ability to predict who is likely to experience an asthma attack, as well as when that attack may occur, will ultimately optimize healthcare resources and personalize patient management.

The use of longitudinal birth cohort studies and multicenter collaborations like the Severe Asthma Research Program have given clinical investigators a broader understanding of the pathophysiology, natural history, phenotypes, seasonality, genetics, epigenetics, and biomarkers of the disease. Machine learning and data-driven methods have utilized this data, often in the form of large datasets, to cluster patients into genetic, molecular, and immune phenotypes. These clusters have led to work in the genomics and pharmacogenomics fields that should ultimately lead to high-fidelity exacerbation predictions and the advent of true precision medicine.

This work, the researchers noted, if translated into clinical practice can potentially link genetic traits to phenotypes that can for example predict rapid response, or non-response to medications like albuterol and steroids, or identify an individuals risk for cortisol suppression.

As with any innovation, though, challenges abound. One in particular is the siloed nature of the clinical and scientific insights about asthma that have come to light in recent years. Although data are now being generated and interpreted across various domains, researchers must still contend with a lack of data standards and disease definitions, data interoperability and sharing difficulties, and concerns about data quality and fidelity.

Machine learning and AI present their own challenges; namely, those who utilize these technologies must consider the issues of fairness, bias, privacy, and medical bioethics. Legal accountability and medical responsibility issues must also be considered as algorithms are adopted into routine practice.

We must, as clinicians and researchers, constructively transform the concern and lack of understanding many clinicians have about digital health, [machine learning], and [artificial intelligence] into educated and critical engagement, the researchers concluded. Our job is to use [machine learning and artificial intelligence] tools to understand and predict how asthma affects patients and help us make decisions at the patient and population levels to treat it better.

Reference

Messinger AI, Luo G, Deterding RR. The doctor will see you now: How machine learning and artificial intelligence can extend our understanding and treatment of asthma [published online December 25, 2019]. J Allergy Clin Immunol. doi: 10.1016/j.jaci.2019.12.898

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Hollywood Is Using Artificial Intelligence To Pick Its Next Blockbuster – Forbes

Hollywood-based film studios are increasingly using AI as part of the decision-making process when ... [+] commissioning and producing new films. (Photo by Valery SharifulinTASS via Getty Images)

For anyone who's ever thought Hollywood's output is formulaic and tired, the movie industry may be about to get worse. Major studio Warner Bros. has signed a deal with Cinelytic, which has developed an AI-powered system that can predict the likelihood of a film's success based on such factors as actors, budget and brand.

Predictably enough, Warner Bros. will be using Cinelytic's software as part of the research process it undergoes when deciding which movies to commission. Cinelytic's platform can determine the 'value' (i.e. profitability) of an actor in any major territory and also calculate how much money a film is likely to earn in cinemas and through supplementary merchandising (e.g. DVDs).

While it obviously can't measure how good a film will be artistically, Warner Bros. will likely use it during early production phases to separate ideas likely to succeed from those that most likely aren't. This follows a run of several years during which the studio has suffered a number of high profile losses on such titles asJustice League and Pan, as well as a few instances where its output hasn't performed as well as hoped (e.g. Batman v. Superman).

And it would seem that Warner Bros. won't be the only film studio integrating AI into its decision-making processes. In fact, AI has already received a modest amount of use by studios up until now, so Warner Bros. entry is likely to open the floodgates even further.

For example, 20th Century Fox has been using a system called Merlin for several years now. In contrast to Cinelytic's platform, Merlin uses AI and machine learning (as well as big data) to match particular films to particular genres and audiences. It does this by using a computer vision system to generate a frame-by-frame analysis of movie trailers. After labelling objects and events within each trailer, it then takes the data it has gathered for one film and compares it against data for other films. It might find, say, that a given trailer most resembles films x, y and z, which were popular with female teenagers.

By comparing datasets, Merlin helps 20th Century Fox identify the ideal demographic(s) for any given film. It also helps the studio decide how it should be advertising and classifying that film, insofar as Merlin links a films trailer to genres.

Aside from Warner Bros. and 20th Century Fox, it's likely that other film studios and production companies have already turned to AI, without being open about it. For instance, Belgium-based ScriptBook uses AI to analyze a film's script and arrive at an estimation of the revenues that film is likely to earn. Not only that, but ScriptBook's platform can also provide likability scores for a film's characters, profiles of its target audience, and even its likely IMDB rating.

According to the company's CEO, Nadira Azermai, ScriptBook is already at a stage where the financial forecast it provides for each film has an 86% accuracy rate. In other words, it's already working with clients in the film industry, even if it hasn't gone public with the names of any studio or company.

ScriptBook was founded in 2015, but it's probable that other companies will emerge in the coming years, since research into the use of AI-based film prediction is still ongoing. In August, researchers from Sungkyunkwan University in South Korea revealed that they had used deep learning to train a bot to forecast the likelihood of a film's success, based this time on a textual summary of its plot. They trained this bot on 42,306 film plot summaries, in the end finding that it was best at predicting which films would be unsuccessful.

That the bot was better at weeding out 'stinkers' rather than classic films is encouraging. Because while the influx of AI into the film industry might imply that Hollywood could become even more self-plagiarizing in the future, it's possible that studios might restrict the use of artificial intelligence specifically to making sure they don't end up commissioning flops. This would potentially leave space for human decision-making and creativity to get involved in choosing between ideas more likely to succeed commercially.

And to play devil's advocate, it's possible that the use of AI might make Hollywood's output less homogenous. To take a simplified and hypothetical example, the massive success of a superhero film could conceivably create a situation where human producers end up commissioning a series of other superhero movies, even though each entry in this series goes on to enjoy diminishing returns. By contrast, an AI-based platform trained on masses of regularly updated data might be able to determine that, rather than making the next Batman or Superman film, a different kind of movie now has a chance of greater success.

That is, an AI platform might force a studio to change its artistic or stylistic direction sooner than it would have done otherwise. If this is the case, then moviegoers and cinephiles probably don't have anything to fear from AI's invasion of cinema.

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Warner Bros. Will Use Artificial Intelligence to Help Decide Which Movies to Greenlight – /FILM

Update: An in-the-know source has reached out to correct some of the information in this story. Turns out that Cinelytic is only being used by Warner Bros. International as an additive tool to help select release dates, and not, as many have suggested, in any sort of major creative capacity. Our original story continues below.

The frequent tug-of-war between art and commerce means that there have long been Hollywood studio executives whose jobs include looking at analytics and trying to assess whether greenlighting a certain film will be financially beneficial to their shareholders. Now Warner Bros. is inviting artificial intelligence into the equation, because the studio has signed a deal with a company called Cinelytic to use itsproject management system and leverage the systems comprehensive data and predictive analytics to guide decision-making at the greenlight stage. Is this situation as bad as it sounds?

The Hollywood Reporter has the story, saying that Toby Emmerichs film division of Warner Bros. is going to utilize this system, which is supposed to help find patterns in the numbers that might be missed by human eyes. The platform is capable of assess[ing] the value of a star in any territory and how much a film is expected to make in theaters and on other ancillary streams, and its supposedly going to reduce the amount of time executives spend on low-value, repetitive tasks and instead give them better dollar-figure parameters for packaging, marketing and distribution decisions including release dates.

According to Cinelytic head Tobias Queisser, who invented this system four years ago, The system can calculate in seconds what used to take days to assess by a human when it comes to general film package evaluation or a stars worth. But as Thor and X-Men: First Class screenwriter Zack Stentz wrote on Twitter,the entire Marvel Cinematic Universe was built on [Jon] Favreau convincing a bunch of executives that a middle-aged actor not long out of rehab and prison, who had described himself as box office poison even during his earlier 1990s heyday, would be the perfect Iron Manthese analytics that purport to tell you which actor is worth how much in these territories are useless compared to the casting intuitions that end up creating magic onscreen.

Still, I can sympathize with this level of desperation. Its easy to see why studios would be eager to minimize risk and find a way to compete against Disney, which absolutely crushed all competition last year and became the first studio to cross the $10 billion mark in a single year (the House of Mouse pulled in$11.12 billion total worldwide). And its not like all of a sudden every movie will be chosen by an algorithm Queisser says that an AI cannot make any creative decisions and explains its real intended use in this setting. What it is good at is crunching numbers and breaking down huge datasets and showing patterns that would not be visible to humans, he said. But for creative decision-making, you still need experience and gut instinct.

Emmerich has been in this business for a long time, and anyone who expects him to just cede all creative control over to Skynet is misreading this situation. Im betting the studio will look at these AI-crunched numbers to help figure out better release dates every once in a while, and leave the real creative decisions to the people who are getting paid millions of dollars a year to make them.

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SUTD to offer new undergrad degree in design and artificial intelligence – The Straits Times

SINGAPORE - Artificial intelligence (AI) technologies can benefit designers, if they know how to harness them.

Statistical data can be used to predict an outcome a method known as predictive modelling. In urban planning for example, demand for public trains can be forecasted in order to create more efficient public transport deployment plans.

To equip students with such skills, the Singapore University of Technology and Design (SUTD) has launched a new undergraduate degree in design and AI,in anticipation of a growing demand for talents who can combine expertise in design innovation with AI technology.

The 3 -year programme - the first of its kind in Singapore - will take in students this academic year, which starts in May, SUTD said on Friday (Jan 10).

Students will be exposed to areas of design such as user interface/user experience (UI/UX), product, systems, built environment, and data-driven design.

They will also learn to use AI technologies and algorithms to produce better design and applications.

Graduates ofthis programme will be able to work as data scientists and data visualisation specialistsin industries such as urban planning, product design and telecommunications, the university said.

Established in 2009, SUTD is the fourth autonomous university in Singapore and focuses on engineering, innovation and design.

It said that the entry requirements for the new programme are the same as for its other four degrees: architecture and sustainable design; engineering product development; engineering systems and design; and information systems technology and design.

Generally, students should be competent in mathematics and the sciences, namely physics or chemistry.

Statistics provided by the university show that of the A Level students who were offered places in the university admission exercise last year, nearly all had taken mathematics at the H2 level, and eight in 10 scored at least a B.

Nearly all had also taken either physics or chemistry, or both, at the H2 Level, and nearly seven in 10 scored at least a B for either or both subjects.

SUTD president Chong Tow Chong said: "The recent announcements from Deputy Prime Minister Heng Swee Keat on the next steps in Singapore's Smart Nation journey underscorethe importance of artificial intelligence and the role it will play in bringing about social and economic benefits.

"The main goal of the design and AI programme is to equip students with the ability to create human-centred design using data analysis and machine learning, which is AI-driven," added Professor Chong.

Jurong Pioneer Junior College graduate Michael Hoon, who read H2 maths, further maths and physics, and also took a H3 physics module offered by Nanyang Technological University, is interested in the new programme.

Said the 18-year-old: "I've always been interested in maths and science since I was young, for the most part, due to exposure from school teachers and researching a lot of information online.

"Both subjects are visibly all around us and pretty much serveas the foundations of our survival and development, and being able to apply and integrate the theoretical modelling we have learnt into our daily livesis pretty interesting too."

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Should Artificial Intelligence in Cars Be Programmed to Be Racism-Free? – Science Times

(Photo : silvawpius.wordpress.com)What are the causes of racial discrimination in artificial intelligence in cars? How does it happen and can it be avoided at all. Does AI really abstract or it is just a set of algorithms too.

When the first singularity called the "big bang" seeded the proto-universe with light and matter that was the first proto-matter into the universe today. What made the universe into what is it now, is the mysterious substance called "Dark matter". In the first few seconds of the big bang, it was so hot, when it cooled down dark matter settled. Gravity and the fundamental forces of the universe pulled all dark matter from heated halos that became everything in the universe.

Now, this dark matter is captured as visual imaged or as background radiation in the galaxy, we know today. Dark matter holds everything in the cosmos together, without it, there is no telling what can happen. Here are insights into what kinds of dark matter that the big bang cooked up, basically everything in the universe floats in a sea of endless dark matter. Kinds of dark matter as defined are warm, cold, and fuzzy, the reason is the scientist give these terms is to make them understandable. Most of the time, everyone gets lost in the play of concepts and terms. Let us begin now.

Factoid#1

Specialists from MIT, Princeton University, and Cambridge University have speculated that the proto-galaxies to later galaxies are not the same. This is because of whether it was a warm, cold, or fuzzy matter when they were formed. A simulation was designed to test the theory on dark matter formations.

Factoid#2

Most dark matter iscoldand does not mix with other matters.Warmis lighter and moves fast, not slow, a bit faster than cold DM. A new concept isfuzzydark matter which is ultralight bits and particles that heavier than an electron. Fuzzy dark matter is essentially heavier, and larger too.

Factoid#3

Most dark matter used to form halos around proto-galaxies yet to form were cold. If it was the fuzzy or warm kind, then galaxies will have trailing tails. Fuzzy universes might look striated, like harp strings.

Factoid#4

Light traveling in the cosmos can be very old, using a telescope that will tell if the dark matter is cold, warm, or fuzzy too. These three kinds of dark matter (DM) is about 85% in the universe today.

Factoid#5

Proving what dark matter is harder to do, and most guesses point at dark matter are cold mostly. And, this is what makes the superstructure of the universe and keeps it together like crazy glue,

Factoid#6

Fuzzy dark matter is totally different, and it acts like a wave throughout the universe. This wave-like dark matter is like to mix with other bits of matter, compared to cold dark matter. Galaxies formed from it will be significantly different from what it is now.

Factoid#7

The scientist is developinga new universal modelof what a fuzzy matter universe will be like. Using the James Webb Space Telescope, they will look back in time and see the first proto-galaxies as they were. Hopefully models by Mocz, Fialkov, Vogelsberger will be proven by then.

Related Article: Is Dark Matter Warm, Cold, or 'Fuzzy'? New Simulations Provide Intriguing Insights.

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Stefanini Participates in the 2020 Davos World Economic Forum and Brings Its Experience in Artificial Intelligence – MarTech Series

Marco Stefanini, Global CEO Global and founder of the Brazilian multinational, will be present in the annual event and will have an article of his in the INSEAD Global Talent Competitiveness Index Report

In the year in which it reaches its 50th anniversary, the World Economic Forum, a big annual event that reunites the main leaderships and authorities of the planet in the political and economic scenes will count on Stefaninis participation, one of the most important providers in global business solutions based on digital technologies. The event will take place from the 21st to the 24th of January 2020 in Davos in the Swiss Alps. Marco Stefanini, Global CEO and founder of the Brazilian multinational, will be present along with Felipe Monteiro, Strategy professor at INSEAD and Director of The Global Talent Competitiveness Index (GTCI).

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During the annual event, which will have as a central theme Stakeholders for a more cohesive and sustainable world, the INSEAD 2020 GTCI Report will be launched on January 22nd at the Sustainable Development Goals (SDG) Tent. The report will showcase an article titled Latin America: The next source of talent in AI? written by Marco Stefanini in partnership with Fbio Caversan, Artificial Intelligence Research & Development Director of Stefanini USA.

On Chapter 2 of the important global report, the Brazilian multinational evaluates the scope of the Science of Artificial Intelligence and technology in Latin America. Additionally, it highlights Marco Stefaninis vision for the current and future scenarios of this theme, which has been the keynote of the disseminated digital transformation.

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For several years, Stefanini has been maintaining a solid partnership with INSEAD, one of the worlds largest and most prestigious business schools and will promote in 2020 the 3rd class in the Leadership Transformation Program, which will take place from March 28th to April 4th on INSEADs Fontainebleau campus in France. The Leadership Transformation proposes a journey of discoveries and knowledge so that high leaderships can surpass limits through collaboration and innovation amongst each other.

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Bayer and Exscientia collaborate to leverage the potential of artificial intelligence in cardiovascular and oncology drug discovery | More News | News…

DetailsCategory: More NewsPublished on Friday, 10 January 2020 08:21Hits: 1528

BERLIN, Germany I January 9, 2020 I Bayer and Exscientia Ltd., a UK-based Artificial Intelligence (AI)-driven drug discovery company, have entered into a three-year, multi-target collaboration. The partners will work on early research projects combining Exscientias proprietary AI drug discovery platform and drug design know-how with Bayers data and drug discovery capabilities. They aim to identify and optimize novel lead structures for potential drug candidates to treat cardiovascular and oncological diseases. Exscientia may be eligible to receive up to EUR 240 million, including upfront and research payments, near term and clinical milestones. As part of the agreement, Exscientia may also receive sales royalties. Bayer owns the rights to novel lead structures generated as part of the collaboration.

AI has the potential to accelerate drug discovery and improve the drug development productivity in terms of quality, cost and cycle time. Up to now, it takes 12 to 15 years from early research to marketing approval of a new drug. The collaboration focuses on early stage research by using an AI-based algorithm to predict potential drug molecules. Exscientias AI-driven drug discovery technology provides novel chemical matter for difficult-to-address targets and could identify novel drug candidates more efficiently through less optimization cycles.

We are driving forward digital transformation in R&D as we believe that digital technologies such as AI can simplify and speed up the discovery and development of new drugs for patients, said Dr. Joerg Moeller, Member of the Executive Committee of Bayer AG's Pharmaceuticals Division and Head of Research and Development. The collaboration with Exscientia is expected to help us to achieve project milestones earlier and at the same time accelerate timelines by enabling more precise identification of suitable drug targets and lead structures.

Were delighted to collaborate with Bayer, a globally recognized pharmaceutical company who has already committed significant investment to treating challenging diseases, said Professor Andrew Hopkins, CEO of Exscientia. Since our pioneering Nature papers demonstrated the automated design of small-molecules, we have enhanced our platform and exemplified it commercially, by accelerating the discovery of future drug molecules with partners. Were excited to now work with Bayer researchers to drive this transformational change in key therapeutic areas.

The Pharmaceuticals Business Development & Licensing team of Bayer facilitated this collaboration.

About artificial intelligence at Bayer PharmaceuticalsArtificial intelligence provides significant opportunities for Bayers Pharmaceuticals business. Bayer is committed to realizing the potential value associated with big data, advanced analytics, and artificial intelligence, as it continues to explore and leverage them along the value chain. Bayer believes that there are three ways that artificial intelligence could be applied in our business: to strengthen and accelerate innovation, to advance operations and to identify new business opportunities. Such technologies could therefore support Bayer in getting the right treatment to the right patient at the right time, more efficiently and faster than we do today.

About ExscientiaExscientia is at the forefront of Artificial Intelligence (AI)-driven drug discovery and design. By fusing the power of AI with the discovery experience of seasoned drug hunters, Exscientia is the first company to automate drug design, surpassing conventional approaches. For more information visit http://www.exscientia.ai or follow on Twitter @exscientialtd

About BayerBayer is a global enterprise with core competencies in the life science fields of health care and nutrition. Its products and services are designed to benefit people by supporting efforts to overcome the major challenges presented by a growing and aging global population. At the same time, the Group aims to increase its earning power and create value through innovation and growth. Bayer is committed to the principles of sustainable development, and the Bayer brand stands for trust, reliability and quality throughout the world. In fiscal 2018, the Group employed around 117,000 people and had sales of 39.6 billion euros. Capital expenditures amounted to 2.6 billion euros, R&D expenses to 5.2 billion euros. For more information, go to http://www.bayer.com.

SOURCE: Bayer

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Artificial intelligence needn’t be a barrier to gender parity if we use it smartly | Dr. Lamya Fawwaz – Gulf Today

The photo has been used for illustrative purposes.

2020 marks the start of a critical decade in achieving the United Nations Sustainable Development Goals (SDGs). As the Fourth Industrial Revolution continues to transform just about every industry sector, and revolutionize the way we live and work, it is only natural that we look to leverage its benefits to drive greater sustainability.

The role of artificial intelligence in achieving renewable energy and sustainable targets was highlighted in a recent report; using AI for environmental applications could add USD 5.2 trillion to the global economy, while reducing greenhouse gas emissions by 4 per cent, according to PwC.

The benefits of AI in sustainability are manifold: it can support the deployment of self-driving vehicles to transform transportation systems, or better manage food purchasing to reduce wastage. Smart grid technology aligns energy production, distribution and usage more effectively, while water wastage can be tackled at source.

However, while AI and other emerging technologies will undoubtedly prove vital in addressing sustainability challenges, we need to be careful about how they are applied if we dont want to waste an even more vital resource women.

AIs gender bias issues have also come under the spotlight recently from claims that Amazon had to abandon an experimental hiring tool because it discriminated against female applicants, to concerns about the (over) use of womens names for virtual assistants think Siri, and Alexa.

The benefits of AI in sustainability are manifold: it can support the deployment of self-driving vehicles to transform transportation systems, or better manage food purchasing to reduce wastage.

Possible reasons for this perceived gender bias are not hard to determine. While women make up half the global workforce, they only represent 30 per cent of tech industry employees, and less than 10 per cent of clean-tech start-ups are women-owned. In cutting-edge disciplines like AI, the imbalance is even worse: only 12 per cent of AI researchers, and just 6% of software developers, are female.

Given that SDG 5 achieving gender equality and empowering females is central to reaching all the other SDGs, clearly there is still much work to be done in the tech sector.

And the potential is there. In the workplace, technology can help us break down some of the barriers to female inclusion, such as inadequate training, limited access to financing, inflexible work environments, and lack of engagement with decision makers.

Nor is it necessarily true that women dont want to work in tech-related fields. Here in the UAE, women make up 56 per cent of graduates in STEM disciplines. Further, women make up around a third of tech entrepreneurs in the Middle East.

The UAE is also actively promoting opportunities for women in its emerging high-tech sector, and the investment is paying off. Around 40 per cent of the team working on the UAEs Mars Mission are female, while 90 per cent of the scientists at the Mohammed Bin Rashid Space Centre are women.

The UAEs commitment to parity between men and women has seen the country climb 23 positions in the UNDP Gender Equality Index in the past year, rising to 26th place and becoming the highest ranked Arab country in the world.

But this commitment to gender equality hasnt come at the expense of technology expertise the UAE also leads the region in technology adoption, and we are also one of the most advanced nations in the world in the application of AI. The UAE was the first country to appoint a minister of state for AI, while Masdar City is set to host the Mohamed Bin Zayed University of Artificial Intelligence the worlds first graduate-level AI research institution.

The role AI and digitalization can play in sustainability and gender parity will be discussed in-depth at Women in Sustainability, Environment and Renewable Energy (WiSER) Forum, convening on January 14th at this years Abu Dhabi Sustainability Week.

The UAEs progress in both gender equality and in driving technology adoption is a clear demonstration that applied correctly technology can be a vital tool in empowering women. By giving women and girls equal opportunities, we can maximize our collective potential. Just ask Siri.

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Litecoin Gains 10% Against The Dollar, Is This The Start of an Altcoin Rally? – newsBTC

While Litecoin started 2019 with a massive rally leading up to the assets hard-coded halving, the fifth-largest cryptocurrency by market cap later retraced almost the entire rally. It also led the way for a massive altcoin run, just before Bitcoin began to skyrocket and caused the alt market to correct.

After a steady, prolonged decline, Litecoin has begun rallying once again, growing 10% on the day against the dollar and as much as 5% against Bitcoin. Litecoin gaining once again, could also be a sign that altcoins are finally going to grow in value after an extended selloff.

Litecoin broke out this week alongside Bitcoin, and quickly rocketed out from the recent lows and trading range the cryptocurrency had been confined within. But while Bitcoin struggles to gain its footing for a move higher, Litecoin was able to go on a massive, 13% rally intraday against the US dollar.

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On the LTC/USD trading pair, Litecoin after this weeks rally drop back down to a low for today of $43.75, then over the course of a few hours gained as much as 13% to reach $49.50 before retracing to current levels around $48.75 for a solid 10% gain on the day.

Crypto analysts on Twitter had been asking why Litecoin was pumping, but its likely due to the altcoin market and even Bitcoin, being so oversold due to the ongoing downtrend, that even the smallest glimmer of bullish sentiment can send the price of crypto assets flying high.

Litecoin isnt just gaining against the US dollar, but also against Bitcoin. On the LTC/BTC trading pair, Litecoin outperformed Bitcoin today by as much as 5%, even with Bitcoin climbing on the day as well.

Litecoin is often called the silver to Bitcoin as digital gold, but the two cryptocurrencies dont always have much correlation. As Litecoins halving was reached, Bitcoin took off on a rally, while LTC dropped from highs around $145, all the way back down to a recent local low of $36 marking a 75% decrease in price.

But on the Bitcoin pair, things werent much better, as nearly even altcoin in the market, including Litecoin, lost significant value from their ratio against BTC.

Ahead of its halving, the 5th ranked crypto asset by market cap reached 18,911 sats on the ratio, falling to a low of just 5,481 satoshi, representing a 71% drop against Bitcoin. During todays rally, Litecoin rose 7% bringing the price to over 6,100 sats before falling to current prices and closing the day with a 5% gain.

Related Reading | Crypto Bubble Deja Vu: Altcoin Lisk Gains 50% Against BTC

Litecoin rallying against Bitcoin bodes well for the altcoin market, as when this occurs it usually kicks off a major rally across the entire asset class. Typically, during these phases, Bitcoin either also rises or stays relatively stable, allowing the alternative crypto assets a chance to regain some lost ground against the reigning king of crypto.

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Cobinhood is the Latest Altcoin Exchange to Shut Down – NullTX

Cryptocurrency exchanges are the backbone of the industry. For some companies, remaining operational is a challenge.

Cobinhood, a once popular trading platform, will seemingly throw in the towel.

More specifically, the company has confirmed it will shut down starting today.

There will also be an audit of user accounts to ensure funds can be withdrawn.

It is expected that this process will last an entire month.

For the time being, users are advised not to deposit any money, as those transfers could be lost permanently.

Why the exchange is shutting down exactly, remains a big question.

No official reason has been provided in this regard, even though users deserve an explanation.

This news also comes following a similar notice by the COSS exchange.

It too leaves users without funds for a full month, allegedly to move to a brand new platform in the coming weeks.

It seems unlikely that both incidents are related to one another.

However, Cobinhood suddenly shutting down raises a lot of questions that cant be answered.

Why the auditing process takes a full month, remains unclear as well.

There is a chance a hack of theft of funds has taken place.

Incidents like those can often force an exchange to shut down accordingly.

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