Jason Yang, an IMES research scientist, is the lead author of the paper, which appears in the May 9 issue of Cell. Other authors include Sarah Wright, a recent MIT MEng recipient; Meagan Hamblin, a former Broad Institute research technician; Miguel Alcantar, an MIT graduate student; Allison Lopatkin, an IMES postdoc; Douglas McCloskey and Lars Schrubbers of the Novo Nordisk Foundation Center for Biosustainability; Sangeeta Satish and Amir Nili, both recent graduates of Boston University; Bernhard Palsson, a professor of bioengineering at the University of California at San Diego; and Graham Walker, an MIT professor of biology.
Aidan Wen is well on his way toward a career in artificial intelligence. The high school junior already has two semesters of machine-learning courses under his belt. Last summer he competed for a $12,000 prize sponsored by the Radiological Society of North America for the best ML model for spotting signs of pneumonia in lung X-rays. This year, he has entered another competition seeking a system for early detection of earthquakes using audio files. Next, he wants to try his hand at a project using natural language processing.
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Inland Empire Health Plan in Rancho Cucamonga, California, is the largest not-for-profit Medi-Cal and Medicare health plan in the Inland Empire, a metropolitan area in Southern California. Comprehensive medication reviews, a significant utilizer of trained clinical pharmacist resources, were not focused on plan members most in need, and the review process was manual and time-consuming. Moreover, it was unclear if member outcomes were improving because of this program. Preveon is a specialty pharmacy focused on chronic disease management. Inland Empire Health Plan has outsourced its medication review process to Preveon for its MyMeds Program, and as such, purchased Surveyor Health licenses and allocated them to Preveon.
San Diego-based startup TuSimple said its self-driving trucks will begin hauling mail between USPS facilities in Phoenix and Dallas to see how the nascent technology might improve delivery times and costs. A safety driver will sit behind the wheel to intervene if necessary and an engineer will ride in the passenger seat. If successful, it would mark an achievement for the autonomous driving industry and a possible solution to the driver shortage and regulatory constraints faced by freight haulers across the country. The pilot program involves five round trips, each totaling more than 2,100 miles (3,380 km) or around 45 hours of driving. It is unclear whether self-driving mail delivery will continue after the two-week pilot.
Researchers at UC Davis and UC San Francisco have found a way to teach a computer to precisely detect one of the hallmarks of Alzheimer's disease in human brain tissue, delivering a proof of concept for a machine-learning approach capable of automating a key component of Alzheimer's research. Amyloid plaques are clumps of protein fragments in the brains of people with Alzheimer's disease that destroy nerve cell connections. Much like the way Facebook recognizes faces based on captured images, the machine learning tool developed by a team of University of California scientists can "see" if a sample of brain tissue has one type of amyloid plaque or another -- and do it very quickly. The findings, published May 15, 2019 in Nature Communications, suggest that machine learning can augment the expertise and analysis of an expert neuropathologist. The tool allows them to analyze thousands of times more data and ask new questions that would not be possible with the limited data processing capabilities of even the most highly trained human experts.
In this Oct. 31, 2018, file photo, a man, who declined to be identified, has his face painted to represent efforts to defeat facial recognition during a protest at Amazon headquarters over the company's facial recognition system, "Rekognition," in Seattle. San Francisco is on track to become the first U.S. city to ban the use of facial recognition by police and other city agencies. These days, with facial recognition technology, you've got a face that can launch a thousand applications, so to speak. Sure, you may love the ease of opening your phone just by facing it instead of tapping in a code. But how do you feel about having your mug scanned, identifying you as you drive across a bridge, when you board an airplane or to confirm you're not a stalker on your way into a Taylor Swift concert?
As San Francisco moves to regulate the use of facial recognition systems, we reflect on some of the many'faces' of the fast-growing technology Last week, San Francisco became the first city in the United States to ban the use of facial recognition technology, at least by law enforcement, local agencies, and the city's transport authority. My immediate reaction to the headlines was that this was great for individuals' privacy, a truly bold decision by the San Francisco board of supervisors. The ordinance actually covers more than just facial recognition, as it states the following: "'Surveillance Technology' means any software, electronic device, system utilizing an electronic device, or similar device used, designed, or primarily intended to collect, retain, process, or share audio, electronic, visual, location, thermal, biometric, olfactory or similar information specifically associated with, or capable of being associated with, any individual or group.". The ban excludes San Francisco's airport and sea port as these are operated by federal agencies. Nor does it mean that no individual, company or other organizations installing surveillance systems that include facial recognition, and the agencies banned from using the technology, can cooperate with the people allowed to use it.
Facebook isn't often thought of as a robotics company, but new work being done in the social media giant's skunkworks AI lab is trying to prove otherwise. The company on Monday gave a detailed look into some of the projects being undertaken by its AI researchers at its Menlo Park, California-based headquarters, many of which are aimed at making robots smarter. Among the machines being developed are walking hexapods that resemble a spider, a robotic arm and a human-like hand complete with sensors to help it touch. Facebook has a dedicated team of AI researchers at its headquarters in Menlo Park, California that are tasked with testing out robots. The hope is that their learnings can be applied to other AI software in the company and make those systems smarter.