When a patient has a stroke, every minute counts. Here, prompt action can prevent serious brain damage. If a clot is blocking a large blood vessel in the brain, surgeons can remove this occlusion by means of a catheter inserted in the patient's groin. However, this is a complicated procedure, requiring a lot of experience, and only a few specialists are capable of carrying it out. In new work, Fraunhofer researchers have been investigating whether artificial intelligence might be used to steer a catheter automatically and reliably to a blocked blood vessel.

MCLEAN, Va.--(BUSINESS WIRE)--Today, Booz Allen introduces ModzyTM, a first-of-its-kind enterprise artificial intelligence (AI) software product with a mission of its own: putting AI to work through the power of trusted models and a secure, scalable platform. The Modzy platform and model marketplace create the missing AI layer in today's tech stack, accelerating the deployment of AI from the lab to the enterprise. With click-to-deploy access for a growing list of AI models from leading tech companies and open source communities, and an environment to upload, manage and reuse AI models, Modzy greatly reduces risk and barriers to adopting and scaling AI. Interested customers can request an invitation to the Modzy Early Access Program, beginning today. "Achieving the promise of AI requires much more than training the next algorithm. It's about giving organizations choice and having a predictable and repeatable way to rapidly deploy, manage and secure AI models at enterprise scale," said Dr. Josh Sullivan, senior vice president, Booz Allen Hamilton and Modzy executive leader.

This past week, the Interior Department ordered the grounding of its drone fleet that was made in China or contained Chinese parts. This comes on the heels of similar actions taken by the Department of Homeland Security in May and the United States Army in 2017. While political pundits credit the ban to the Trump administration's policy initiatives against the Asian superpower, many cybersecurity analysts cite legitimate security concerns. As a result, there is a bipartisan bill pending, The American Security Drone Act of 2019, to ban all Federal agencies from using any Chinese-made aerial vehicles. As Senator Richard Blumenthal explains, "Like it or not, drones are our future. Without Congressional action, adversaries like China and Iran will use drone technology as tiny Trojan Horses to spy on our government, our critical infrastructure – even our hospitals and homes. This bill will ensure that we don't send China and others a gold-plated, flying invitation to steal our intellectual property, undermine our domestic technology, and spy on our communities."

Tech companies and the auto industry are working hard in tandem to make autonomous driving a reality by the early 2020s. Driverless cars with various levels of human participation will roll out in stages over the next few years, with fully-autonomous SAE Level 5 driving on the scene by 2030. Today, most automotive manufacturers have achieved Level 2 assisted driving where the car can manage simple scenarios, like active lane centering and parking assistance, itself. Fewer manufacturers provide Level 3 autonomous driving where the car can autonomously navigate a traffic jam or roadways to a destination. For both levels, human drivers can take the wheel if they choose.

The last two decades have seen dramatic advances in automation, from affordable smartphones that can understand your voice commands, to self-driving cars with safety records comparable to human drivers, and computers that can diagnose disease as well as experienced doctors. These advances have been driven not just by falling costs of computing power, but huge leaps forward in machine learning – techniques which automate the discovery of patterns and associations in data. The most powerful of these require minimal human expertise to guide that learning. In many cases, this means computers can discover the underlying rules and patterns in data by themselves. Whilst the terminology has exciting connotations in science fiction, artificial intelligence, or AI, is the use of these techniques to perform tasks that we previously thought could only be done by a human – driving a car, playing chess, or recommending medication, for example.

An estimated 100,000 clinicians in the U.S. alone struggle with substance abuse. How can health care companies discourage medication misuse? This is a challenge AI can help solve. Please join speakers Ranjeet Banerjee, Shervin Khodabandeh, and Sam Ransbotham, all contributors to MIT SMR's recent research report, "Winning With AI," as they explore the current state of AI implementation. Banerjee, worldwide president, medication management solutions at Becton, Dickinson and Company, will show how his organization has used AI and machine learning to combat drug diversion, a serious challenge for clinical operations worldwide.

Healthcare delivery is getting easier as IBM helps telemedicine providers leverage the power of AI. Fremont, CA: The scope of telemedicine has surged in recent times. Rapid development in network infrastructure and increased use of smartphones has resulted in the emergence of healthcare companies that offer telemedicine facilities, which include remote medical consultations. IBM's AI-backed solutions have displayed a lot of potential in helping healthcare companies in the telemedicine domain deliver effective services. Leveraging advancing technology has become easier for ambitious telemedicine companies who are adopting IBM's environment to develop pioneering healthcare solutions.

An autonomous robotic system invented by researchers at MIT and the Woods Hole Oceanographic Institution (WHOI) efficiently sniffs out the most scientifically interesting -- but hard-to-find -- sampling spots in vast, unexplored waters. Environmental scientists are often interested in gathering samples at the most interesting locations, or "maxima," in an environment. One example could be a source of leaking chemicals, where the concentration is the highest and mostly unspoiled by external factors. But a maximum can be any quantifiable value that researchers want to measure, such as water depth or parts of coral reef most exposed to air. Efforts to deploy maximum-seeking robots suffer from efficiency and accuracy issues.

An Art, Technology, and Culture Colloquium, co-sponsored by the Center for New Music and Audio Technologies and CITRIS People and Robots (CPAR), presented with Berkeley Arts Design as part of Arts Design Mondays. As we continue to develop social robots designed for connectedness, we struggle with paradoxes related to authenticity, transience, and replication. In this talk, I will attempt to link together 15 years of experience designing social robots with 100-year-old texts on transience, replication, and the fear of dying. Can there be meaningful relationships with robots who do not suffer natural decay? What would our families look like if we all choose to buy identical robotic family members?

HARTFORD, Conn.--(BUSINESS WIRE)--The Travelers Companies, Inc. (NYSE: TRV) today announced a strategic partnership with Groundspeed Analytics, Inc. to simplify its new business and policy renewal processes through the use of artificial intelligence (AI). The two companies will also collaborate on the design of additional AI capabilities that can provide increased efficiencies through the automation of commercial insurance analytics. Quote requests often require manual effort to extract information from submitted documents before an underwriter can fully evaluate and price the risk. The use of AI will augment the company's underwriting capabilities by enhancing risk selection and increasing efficiency while also allowing agents and brokers to write business more quickly. "Using Groundspeed's AI capabilities will optimize productivity for both our underwriters and our agent and broker partners," said Bill Devine, Senior Vice President, Business Insurance, Travelers.