Humans are inherently risk-averse: We spend our days calculating routes and routines, taking precautionary measures to avoid disease, danger, and despair. Still, our measures for controlling the inner workings of our biology can be a little more unruly. With that in mind, a team from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) came up with a new system for better predicting health outcomes: a machine learning model that can estimate, from the electrical activity of their heart, a patient's risk of cardiovascular death. The system, called "RiskCardio," focuses on patients who have survived an acute coronary syndrome (ACS), which refers to a range of conditions where there's a reduction or blockage of blood to the heart. Using just the first 15 minutes of a patient's raw electrocardiogram (ECG) signal, the tool produces a score that places patients into different risk categories.

I. Memming Park, Stony Brook's 2019 Discovery Prize winner, built his first artificial neural network when he was in middle school. That long-held interest in how the brain works influenced his award-winning research titled, "Personalized Landscape of Unconsciousness." Park, an Assistant Professor in the Department of Neurobiology & Behavior and a faculty member of the Institute for AI-Driven Discovery and Innovation, says his research, to understand the brains of coma patients using machine learning methods and neurotechnologies, stems from a spontaneous discussion with Dr. Charles Mikell, Stony Brook Medicine faculty. Mikell was already recording signals, with his own data analysis software, from human brains during surgeries he performed. "We were interested in these brain implants for seizure treatments," said Park.

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Building, monitoring, and improving machine learning systems is no walk in the park, no matter the circumstances. Data scientists and engineers have to monitor fine-grained quality and diagnose errors in sophisticated apps, not to mention field contradictory or incomplete corpora. To ease the development burden somewhat, Apple developed Overton, a framework intended to automate AI system lifecycles by providing a set of novel high-level abstractions. Given the query "How tall is the president of the United States," for example, Overton generates a model capable of supplying an answer. Apple researchers say that Overton has been used in production to support "multiple applications" in both near-real-time and back-of-house processing, and in that time, Overton-based apps have answered "billions" of queries in multiple languages and processed "trillions" of records.

TOKYO (Reuters) - Tech giant Intel Corp said on Wednesday it will use the Tokyo 2020 Olympic Games to show off a portfolio of new technology including artificial intelligence driven 3D tracking of athletes to augment broadcasts of events during the Games. The tracking technology will use mobile cameras to capture video of Olympic events that will be used to create visual overlays and analysis, the company announced in Tokyo. The Olympic showcase comes as the once-dominant chipmaker looks for new opportunities amid a forecast of modest profit growth over the next three years as its market share for personal computer chips shrinks. "This is a really good opportunity for us to showcase the microprocessor technologies that we have been developing for many years but also a lot of our work in software, in algorithms and broadcast enhancing experience," Rick Echevarria, general manager of Intel's Olympic Program, said at an event attended by members of the Tokyo 2020 Organizing Committee. Intel also said it would use virtual reality to recreate images of venues to help train staff.

This illustration shows the combustion in side the robot propelling it out of the water. Engineers often look to nature for inspiration when creating robots. Just look at Astro the robot dog or the antelope-like SpaceBok. A team with the Aerial Robotics Laboratory at the Imperial College London in the UK has developed a floating robot that can shoot a jet of water out of its rear to propel itself through the air. The robot is shaped like a little airplane.

A few months from now will see the launch of the first European satellite to demonstrate how onboard artificial intelligence can improve the efficiency of sending Earth observation data back to Earth. Dubbed ɸ-Sat, or PhiSat, this revolutionary artificial intelligence technology will fly on one of the two CubeSats that make up the FSSCat mission--a Copernicus Masters winning idea. As the overall 2017 Copernicus Masters winner, FSSCat, was proposed by Spain's Universitat Politècnica de Catalunya and developed by a consortium of European companies and institutes. The two CubeSats, each about the size of a shoebox, will collect data, which will be made available through the Copernicus Land and Marine Environment services, using state-of-the-art dual microwave and hyperspectral optical instruments. They also carry a set of intersatellite communication technology experiments.

Nashua, N.H. – September 10, 2019 – iCAD, Inc. (NASDAQ: ICAD), a global medical technology leader providing innovative cancer detection and therapy solutions, today announced the results of its reader study for ProFound AI fo... Continue reading

You could be forgiven for thinking that AI will soon replace human physicians based on headlines such as "The AI Doctor Will See You Now," "Your Future Doctor May Not Be Human," and "This AI Just Beat Human Doctors on a Clinical Exam." But experts say the reality is more of a collaboration than an ousting: Patients could soon find their lives partly in the hands of AI services working alongside human clinicians. There is no shortage of optimism about AI in the medical community. But many also caution the hype surrounding AI has yet to be realized in real clinical settings. There are also different visions for how AI services could make the biggest impact.

Some technologists are exploring implanting chips with powerful AI in the human brain to create superhuman capabilities. "You won't need to memorize anything" anymore, said Nikolas Kaironos, CEO and founder of Fountech.ai, in an interview in the DailyStar. You could ask a question in your head, such as how to say something in French, get the information from the AI implant, "then be able to say it," he said. Fountech helps companies integrate AI into their businesses. Its work includes the Soffos project, which uses AI to try to deliver new learning experiences, tailoring content and methods to the individual.