The US military is testing a smart watch and ring system capable of detecting illnesses two days before the wearer develops symptoms. Called Rapid Analysis of Threat Exposure (RATE), the project is using Garmin and Oura devices that have been program with artificial intelligence trained on nearly 250,000 coronavirus cases and other sicknesses. The system notifies the user of an oncoming illness using a scale from one to 100 on how likely it will happen over the next 48 hours. Military officials note that'Within two weeks of us going live we had our first successful COVID-19 detect.' The US military is testing a smart watch and ring system capable of detecting illness two days before the wearer develops symptoms.
Race After Technology opens with a brief personal history set in the Crenshaw neighborhood of Los Angeles, where sociologist Ruha Benjamin spent a portion of her childhood. Recalling the time she set up shop on her grandmother's porch with a chalkboard and invited other kids to do math problems, she writes, "For the few who would come, I would hand out little slips of paper…until someone would insist that we go play tag or hide-and-seek instead. Needless to say, I didn't have that many friends!" As she gazed out the back window during car rides, she saw "boys lined up for police pat-downs," and inside the house she heard "the nonstop rumble of police helicopters overhead, so close that the roof would shake." The omnipresent surveillance continued when she visited her grandmother years later as a mother, her homecomings blighted by "the frustration of trying to keep the kids asleep with the sound and light from the helicopter piercing the window's thin pane." Benjamin's personal beginning sets the tone for her book's approach, one that focuses on how modern invasive technologies--from facial recognition software to electronic ankle monitors to the metadata of photos taken at protests--further racial inequality.
To build Sounding Board, we develop a system architecture that is capable of accommodating dialog strategies that we designed for socialbot conversations. The architecture consists of a multi-dimensional language understanding module for analyzing user utterances, a hierarchical dialog management framework for dialog context tracking and complex dialog control, and a language generation process that realizes the response plan and makes adjustments for speech synthesis. Additionally, we construct a new knowledge base to power the socialbot by collecting social chat content from a variety of sources. An important contribution of the system is the synergy between the knowledge base and the dialog management, i.e., the use of a graph structure to organize the knowledge base that makes dialog control very efficient in bringing related content to the discussion. Using the data collected from Sounding Board during the competition, we carry out in-depth analyses of socialbot conversations and user ratings which provide valuable insights in evaluation methods for socialbots. We additionally investigate a new approach for system evaluation and diagnosis that allows scoring individual dialog segments in the conversation. Finally, observing that socialbots suffer from the issue of shallow conversations about topics associated with unstructured data, we study the problem of enabling extended socialbot conversations grounded on a document. To bring together machine reading and dialog control techniques, a graph-based document representation is proposed, together with methods for automatically constructing the graph. Using the graph-based representation, dialog control can be carried out by retrieving nodes or moving along edges in the graph. To illustrate the usage, a mixed-initiative dialog strategy is designed for socialbot conversations on news articles.
Well-designed technologies that offer high levels of human control and high levels of computer automation can increase human performance, leading to wider adoption. The Human-Centered Artificial Intelligence (HCAI) framework clarifies how to (1) design for high levels of human control and high levels of computer automation so as to increase human performance, (2) understand the situations in which full human control or full computer control are necessary, and (3) avoid the dangers of excessive human control or excessive computer control. The methods of HCAI are more likely to produce designs that are Reliable, Safe & Trustworthy (RST). Achieving these goals will dramatically increase human performance, while supporting human self-efficacy, mastery, creativity, and responsibility.
Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.
Companies that make exoskeleton suits are hoping the devices might soon become as commonly provided as wheelchairs. Private medical insurers and at least three state health providers have agreed to cover the cost of the cyborg-type wearables for people unable to walk. Germany made a landmark decision this year when it registered exoskeletons – normally prohibitively expensive at prices in the tens of thousands of pounds – on its official list of medical aids, providing a degree of obligation on insurers to pay. In Italy, the Israeli-made ReWalk suit was added to a state-run workplace insurance body. The US Department of Veterans Affairs has expanded its policy to include the devices at private rehabilitation clinics for veterans with spinal cord injuries.
WASHINGTON – The U.S. Army is investing millions of dollars in experimental exoskeleton technology to make soldiers stronger and more resilient, in what experts say is part of a broader push into advanced gear to equip a new generation of "super-soldiers." The technology is being developed by Lockheed Martin Corp. with a license from Canada-based B-TEMIA, which first developed the exoskeletons to help people with mobility difficulties stemming from medical ailments like multiple sclerosis and severe osteoarthritis. Worn over a pair of pants, the battery-operated exoskeleton uses a suite of sensors, artificial intelligence and other technology to aid natural movements. For the U.S. military, the appeal of such technology is clear: Soldiers now deploy into war zones bogged down by heavy but critical gear like body armor, night-vision goggles and advanced radios. Altogether, that can weigh anywhere from 40 to 64 kilograms (90 to 140 pounds), when the recommended limit is just 23 kg (50 pounds).
The Office of Naval Research has revealed plan to partner with the Walter Reed National Military Medical Center, the Naval Research Laboratory, and a number of universities to develop a new type of leg prostheses. Along with being more comfortable, these smart artificial limbs will help users prevent the threat of infection. The Monitoring OsseoIntegrated Prosthesis (MOIP) project hinges upon a titanium fixture that is surgically implanted into the recipient's femur. Bone is generated around the point where it's implanted, so only the small connection point juts out. An artificial limb can be connected or detached from this adapter at will.