An advanced research arm of the U.S. government's intelligence community is looking to develop AI capable of tracking people across a vast surveillance network. As reported by Nextgov, the Intelligence Advanced Research Projects Activity (IARPA) has put out a call for more information on developing an algorithm that can be trained to identify targets by visually analyzing swaths of security camera footage. The goal, says the request, is to be able to identify and track subjects across areas as large as six miles in an effort to reconstruct crime scenes, protect military operations, and monitor critical infrastructure facilities. To develop the technology, IARPA will collect nearly 1,000 hours of video surveillance from at least 20 camera networks and then, using that sample, test various algorithms effectiveness. The agency's interest in AI-based surveillance technology mirrors a broader movement from governments and intelligence communities around the globe, many of whom have ramped up efforts to develop and scale systems.
TEL AVIV, Israel, 16 April 2019--Israel's reams of electronic medical records –health data on its population of around 8.9 million people-- are proving fruitful for a growing number of digital health startups training algorithms to do things like early detection of diseases and produce more accurate medical diagnoses. According to a new report by Start-Up Nation Central, the growth in the number of Israeli digital health startups –537 companies, up from 327 in 2014--has drawn in new investors, including Israeli VCs who have never previously invested in healthcare. This has driven financing in the sector to a record $511M in 2018, up 32% year on year. By the first quarter of 2019 the amount raised was already at $214M. Of the $511M, over 50% ($285M) went to companies in decision support and diagnostics which rely heavily on data crunching.
Almost 20 years ago, the medical and scientific communities were overjoyed. With the Human Genome Project finished, there was an air of inevitability that the causes of some of the most common and destructive diseases would soon be pinpointed and eradicated. It'd be simple: one gene, one problem, one solution. We even heard Francis Collins, at the time, say "over the longer term, perhaps in another 15 or 20 years, you will see a complete transformation in therapeutic medicine." Unfortunately, it was never going to be that easy.
Space is the final frontier for understanding how extreme environments affect human physiology. Following twin astronauts, one of which spent a year-long mission on the International Space Station, Garrett-Bakelman et al. examined molecular and physiological traits that may be affected by time in space (see the Perspective by Löbrich and Jeggo). Sequencing the components of whole blood revealed that the length of telomeres, which is important to maintain in dividing cells and may be related to human aging, changed substantially during space flight and again upon return to Earth. Coupled with changes in DNA methylation in immune cells and cardiovascular and cognitive effects, this study provides a basis to assess the hazards of long-term space habitation. Science, this issue p. eaau8650; see also p. 127 To date, 559 humans have been flown into space, but long-duration ( 300 days) missions are rare (n 8 total). Long-duration missions that will take humans to Mars and beyond are planned ...
Amazon may be known as the "everything store," but the company's tendrils extend far beyond ecommerce. On Thursday, Amazon said Alexa-enabled devices can now handle customers' sensitive medical data, and it teased the release of a new kit that would allow approved outside developers to build Alexa skills that access users' private health information, paving the way for the voice assistant to play a bigger role in health care. With the announcement came the release of new skills giving Alexa the ability to relay and store blood sugar measurements from internet-connected monitoring devices, help schedule doctors' appointments, pass on post-op instructions from hospitals, and provide prescription delivery updates by securely accessing customers' private medical information. As part of the announcement, Amazon said it had committed to protect personal health information according to the federal Health Insurance Portability and Accountability Act, or HIPAA, which protects the privacy of medical records. Alexa's health and wellness team had been working to obtain HIPAA compliance for months.
Hospitals across the nation are piloting voice-enabled smart speakers in patients' rooms, including Cedars-Sinai Medical Center in Los Angeles and Boston Children's Hospital. These institutions are hoping that smart speakers will make patients more comfortable, help staff stay organized, and, in some cases, keep people out of hospitals and emergency rooms altogether. Early results are promising, but health-care providers are still figuring how to protect privacy once smart speakers know our intimate medical details. Searching online for medical help, even for common ailments, already reveals much more than people realize. That data has proved valuable both to health officials and to big businesses.
A team of researchers at JD AI Research and Beijing University have recently developed a progressive vehicle search system for video surveillance networks, called PVSS. Their system, presented in a paper pre-published on arXiv, can effectively search for a specific vehicle that appeared in surveillance footage. Vehicle search systems could have many useful applications, including enabling smarter transportation and automated surveillance. Such systems could, for instance, allow users to input a query vehicle, search area and time interval to find out where the vehicle was located at different times during the day. Existing vehicle search methods typically assume that all vehicle images are cropped well from surveillance videos, using visual attributes or license plate numbers to identify the target vehicle within these images.
Artificial Intelligence (AI) has started playing important role in Healthcare. For Example, an AI system is used to improve early breast cancer detection. Another AI system improves the performance of the Microscope to find cancer cells more efficiently. And, the AI is getting powerful steadily. An AI Algorithm can see and learn to analyze millions of publicly available images on Google Street View to determine the political leanings of a given neighborhood just by looking at the cars on the streets.