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Abbott's imaging catheter recall hit with FDA's Class I designation – Fierce Biotech


The more recent of these came in 2020 for a machine learning algorithm that can analyze non-contrast brain CT scans and pinpoint early signs of …

DHS is going bigger with its next face biometrics rally


The U.S. Department of Homeland Security opened industry applications for its 2022 Biometric Technology Rally. The department's Science and Technology directorate is emphasizing discerning people in groups and their level of consent to face biometric scanning. Competitors are to address the challenge of reliably screening small groups of people opting in to facial recognition from among bystanders who have not consented. The competition will be an unattended "high throughput" scenario where group-processing systems must rapidly capture biometrics from multiple subjects. Companies will have to match photographs and identify faces, acquire only needed biometric images and meet performance benchmarks for demographic groups.

Katharina McFarland on Winning in the Age of Artificial Intelligence


Katharina McFarland has led change in a wide array of national security domains including Space, Missile Defense, Acquisition and Nuclear Posture. She is a former Assistant Secretary of Defense for Acquisition (ASD(A) and a former Assistant Secretary of the Army for Acquisition, Logistics and Technology (ASAALT). She currently serves on several corporate boards and as a member of the National Academies of Science. She was also named as a Commissioner of the National Security Commission on Artificial Intelligence, a group chartered by Congress to examine the national security issues around AI. In this OODA Salon we will hear directly from her on a range of topics, focusing on actions we can take to improve the application of AI to national security while protecting privacy and our way of life.

Wise Health System Partners with Biofourmis for Continuum-Wide Care-at-Home Initiative


Biofourmis, a Boston-based global leader in virtual care and digital medicine, has announced its engagement with Wise Health System to launch a continuum-wide care-at-home initiative. Wise Health System is a four-hospital, integrated care network in the Dallas-Fort Worth metropolitan area. Wise Health System will launch the effort with a home hospital program leveraging Biofourmis' Hospital@Home end-to-end solution that combines artificial intelligence (AI)-based remote patient monitoring technology and clinical support services. Wise Health System has nearly 200 beds across its four-hospital campus, with over 200 physicians and more than 2,000 employees. The health system is launching a hospital at home program with Biofourmis as part of its progressive healthcare delivery philosophy, to enable participation in the Centers for Medicare and Medicaid Services' (CMS') Acute Hospital Care at Home program, for which it has already earned a waiver.

From the invasion of Ukraine to weapons procurement: the war games seeking solutions to real-life conflicts

The Guardian

On the second floor of the stately King's College London building on the Strand, Vladimir Putin, Emmanuel Macron, Olaf Scholz and Joe Biden are sitting around a table studying a map of Ukraine. They are here to negotiate the future of the country, but they all have ulterior objectives too. Germany wants to ensure the safe transit of refugees; the US wants Russia to cease its disinformation campaign; France wants trade; and Russia needs dozens of sanctions to be lifted. But nobody is giving anything away. It's tense as hell and the clock is ticking.

Singapore touts need for AI transparency in launch of test toolkit


Businesses in Singapore now will be able to tap a governance testing framework and toolkit to demonstrate their "objective and verifiable" use of artificial intelligence (AI). The move is part of the government's efforts to drive transparency in AI deployments through technical and process checks. Coined A.I. Verify, the new toolkit was developed by the Infocomm Media Development Authority (IMDA) and Personal Data Protection Commission (PDPC), which administers the country's Personal Data Protection Act. The government agencies underscored the need for consumers to know AI systems were "fair, explainable, and safe", as more products and services were embedded with AI to deliver more personalised user experience or make decisions without human intervention. They also needed to be assured that organisations that deploy such offerings were accountable and transparent.

Aidoc and Gleamer Partner To Expand the Use of AI in Medical Imaging


This partnership will help health systems address the increasing volume of medical images and the worldwide radiologist labor shortage. Integration of Boneview into Aidoc's AI platform will give many more clinicians access to a tool to help them identify fractures in limbs, pelvis, thoracic and lumbar spine, and rib cage. Aidoc's end-to-end AI platform already includes numerous third-party AI vendors including Imbio, Riverain, Subtle, Icometrix and ScreenPoint. Over 152 million X-rays are performed every year in the US. Although there are about 37,000 radiologists in the US, they are not evenly distributed.

La veille de la cybersécurité


The Pentagon has tapped artificial intelligence ethics and research expert Diane Staheli to lead the Responsible AI (RAI) Division of its new Chief Digital and AI Office (CDAO), FedScoop confirmed on Tuesday. In this role, Staheli will help steer the Defense Department's development and application of policies, practices, standards and metrics for buying and building AI that is trustworthy and accountable. She enters the position nearly nine months after DOD's first AI ethics lead exited the Joint Artificial Intelligence Center (JAIC), and in the midst of a broad restructuring of the Pentagon's main AI-associated components under the CDAO. "[Staheli] has significant experience in military-oriented research and development environments, and is a contributing member of the Office of the Director of National Intelligence AI Assurance working group," Sarah Flaherty, CDAO's public affairs officer, told FedScoop.

The Global Reach of CMU AI

CMU School of Computer Science

As intractable problems accrue and grow, artificial intelligence is increasingly being called upon as part of the solution. Carnegie Mellon University AI researchers have stepped up to help surmount these obstacles where large data sets must be analyzed and patterns discovered to find answers. Last year, the National Science Foundation teamed up with the U.S. Department of Agriculture, the U.S. Department of Homeland Security, as well as corporate sponsors Accenture, Amazon, Google and Intel to provide $220 million in grants to create 11 new institutes specifically dedicated to AI research across a wide range of sectors. CMU's School of Computer Science and College of Engineering faculty will work with four of these new institutes: the AI Institute for Resilient Agriculture, the AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups, the AI Institute for Future Edge Networks and Distributed Intelligence, and the USDA-NIFA Institute for Agricultural AI for Transforming the Workforce and Decision Support. Learn more about these institutes and meet the researchers leading the work in our magazine, The Link.

Artificial Intelligence will make Indian roadways safer to travel on


The Indian Ministry of Science and Technology said this unique approach uses the predictive power of AI to identify road hazards and a collision warning system to communicate timely alerts to drivers, to make various safety-related improvements. Artificial intelligence (AI)-powered solutions may soon make roads in India a safer place to drive. The Indian government announced on Tuesday that an AI-powered technology could reduce the risk of road accidents in the country, which have killed more than a lakh people in 2020. In a bid to prevent this from happening, the Indian government said the AI approach will use a first-of-its-kind dataset consisting of 10,000 images. He said that this dataset is finely annotated with 34 classes collected from 182 driving sequences on Indian roads obtained from a front-facing camera attached to a car driving through the cities of Hyderabad, Bangalore and their outskirts.