Join us for Outsourcing-Pharma's upcoming editorial webinar, titled Real Use Cases for Artificial Intelligence: Where are we now? This discussion will feature expert insights from Sudip Parikh, PhD, senior vice president and managing director, Americas, DIA Global; Doug Peddicord, PhD, executive director, Association of Clinical Research Organizations (ACRO); and Thomas Clozel, MD, co-founder and CEO, Owkin . The Real Use Cases for Artificial Intelligence webinar is sponsored by: Acorn AI (a Medidata company); OM1; ICON plc; and Elligo Health Research . For more information and to register for FREE, please click HERE . The industry, across the drug development continuum, has so far this year announced myriad new partnerships, strategic alliances, product launches, and reports.

Some stood in front of posters, which wound around the tree's sprawling roots, depicting machine learning systems that promised to predict everything from soil nutrition, to whether a small-scale farmer would repay a loan, to how a self-driving car might navigate the bustling streets of Cairo. Over the last three years, academics and industry researchers from around the African continent have begun sketching the future of their own A.I. industry at a conference called Deep Learning Indaba. The conference brings together hundreds of researchers from more than 40 African countries to present their work, and discuss everything from natural language processing to A.I. ethics. Founded in 2017, Indaba is a direct response to Western academic conferences, which are often difficult for researchers from distant parts of the world to access. Take, for instance, the Conference on Neural Information Processing Systems, the most well-known meeting dedicated to artificial neural networks.

Artificial intelligence is being increasingly used to classify employees, and there's a growing fear ... [ ] it might be used to classify people in other respects. These are only a small handful of the most well-known uses of artificial intelligence, yet there is one that, despite being on the margins for much of AI's recent history, is now threatening to grow significantly in prominence. This is AI's ability to classify and rank people, to separate them according to whether they're'good' or'bad' in relation to certain purposes. At the moment, Western civilization hasn't reached the point where AI-based systems are used en masse to categorize us according to whether we're likely to be'good' employees, 'good' customers, 'good' dates and'good' citizens. Nonetheless, all available indicators suggest that we're moving in this direction, and that this is regardless of whether Western nations consciously decide to construct the kinds of social credit system currently being developed by China.

"companies need to both embrace new technology and retain talented recruiters" AI may have only recently emerged into the popular consciousness, but it is certainly not new. People have been researching AI since the 1950s with famous AI systems making headlines in the decades since, including IBM's Watson, which famously won the TV quiz show Jeopardy! in 2011. But AI technology is now cheaper than ever to develop, opening it up to more businesses. And thanks to its ubiquity, AI is slowly becoming a more recognizable part of our daily lives. This proliferation has inspired scare stories about AI taking work away from humans.

To power AI applications and research across engineering, science, and medicine, the Massachusetts Institute of Technology (MIT) Lincoln Laboratory Supercomputing Center has just installed a new GPU-accelerated supercomputer, powered by 896 NVIDIA Tensor Core V100 GPUs. According to MIT, the new system named TX-GAIA for Green AI Accelerator was ranked by TOP500 as the most powerful AI supercomputer at any university in the world. "We are thrilled by the opportunity to enable researchers across Lincoln and MIT to achieve incredible scientific and engineering breakthroughs," said Jeremy Kepner, a Lincoln Laboratory Fellow who heads the Lincoln Laboratory Supercomputing Center. "TX-GAIA will play a large role in supporting AI, physical simulation, and data analysis across all Laboratory missions," he added. The new supercomputer has a peak performance of 100 AI petaFLOPs, as measured by the computing speed required to perform mixed-precision floating-point operations commonly used in building deep neural networks.

A week ago today, millions of students took to the streets to protest the lack of action governments are taking to combat climate change. On Monday, 16-year-old Swedish campaigner Greta Thunberg made an intense and emotionally charged speech at the United Nations, begging world leaders to step up their commitment to protecting the planet's future. Headlines around the world echo her rallying cry, accusing our leaders of failing us. I wholeheartedly agree that governments can, and should, do more to confront climate change. But I have been equally curious about how cutting-edge technology is being used to fight and shelter against the effects of global warming.

The U.S. Department of Homeland Security defines trafficking referred to as modern-day slavery, as a crime that involves the use of force, fraud, or coercion to obtain some type of labor or commercial sex act. AI and ML, have the power to analyze more than just financial activity. The current anti-money laundering (AML) environment relies on simple transaction-monitoring rules to detect human trafficking, and it simply does not have the capacity to consider, weight and examine the necessary number of inputs. The problem with it now is that it produces a lot of false positives, so the real issues are lost in the weeds. If you use more machine learning, you can program more variables and machines can use the information it has and then teach itself how to better identify patterns.

Artificial intelligence or our capability of inventing systems that can think, create and act better and faster than humans has become a buzzword that everyone knows about. AI for medicine, AI for finance, AI for auto, we all seem to know and be fearful for the role of AI in next stage of human and industrial evolution. So, why is AI important in this time and age? Is it because the world is growing so rapidly in terms of our demands and we are not able to keep up with the pace of meeting those demands, as manual operations are inefficient? Or is it getting rid of human errors in execution?

AI magic is here to save the world, making us giddy with excitement and terrifying us at the same time. However, AI is still mostly unknown, and figuring out exactly how it will work in the design world is pretty much like trying to figure out how many angels can dance on the head of a pin. AI (artificial intelligence) has become an over-hyped buzzword across many industries and the design world is no exception. There are ongoing conversations between designers and developers around the future impact of AI, Machine Learning, Deep Learning… VR, AR, and MR (virtual, augmented, and mixed realities), and how our jobs may be changing. So, what does design bring to the conversation?

Researchers from Google AI (formerly Google Research) and Toyota Technological Institute of Chicago have created ALBERT, an AI model that achieves state-of-the-art results that exceed human performance. ALBERT now claims first place on major NLP performance leaderboards for benchmarks like GLUE and SQuAD 2.0, and high RACE performance score. On the Stanford Question Answering Dataset benchmark (SQUAD), ALBERT achieves a score of 92.2, on General Language Understanding Evaluation (GLUE) benchmark, ALBERT achieves a score of 89.4, and on ReAding Comprehension from English Examinations (RACE) benchmark, ALBERT gets a score of 89.4%. ALBERT is a version of Transformer-based BERT that "uses parameter reduction techniques to lower memory consumption and increase the training speed of BERT," according to a paper published on OpenReview.net The paper was published alongside other papers being considered for publication as part of the International Conference of Learning Representations, which will take place in April 2020 in Addis Ababa, Ethiopia.