Admitted patients often have to wait a number of hours for a radiologist to review their chest X-ray, even though it may be marked as urgent or STAT. That's because way too many are marked as such in most clinics. Pneumothorax, or collapsed lung, can go unnoticed in the meantime, leading to a dangerous amount of time to wait while inside the hospital. GE Healthcare's Critical Care Suite automatically processes chest scans right on the X-ray machine and flags those where it detects potential signs of pneumothorax. The attending radiologist immediately gets a copy of the scan via the hospital's PACS system and the technologist performing the scan is alerted as well, to help make sure that the patient is triaged properly.

D. Tyler McQuade, Ph.D, professor in the Department of Chemical and Life Science Engineering at Virginia Commonwealth University College of Engineering, is principal investigator of a multi-university project seeking to use artificial intelligence to help scientists come up with the perfect molecule for everything from a better shampoo to coatings on advanced microchips. The project is one of the first in the U.S. to be selected for $994,433 in funding as part of a new pilot project of the National Science Foundation (NSF) called the Convergence Accelerator (C-Accel). McQuade and his collaborators will pitch their prototype in March 2020 in a bid for additional funding of up to $5 million over five years. Adam Luxon, a Ph.D. student in the Department of Chemical and Life Science Engineering who has been involved from the beginning, explained it this way: "We want to essentially make the Alexa of chemistry." Just as Amazon, Google and Netflix use data algorithms to suggest customized predictions, the team plans to build a platform and open knowledge network that can combine and help users make sense of molecular sciences data pulled from a wide range of sources including academia, industry and government.

You have to step outside of your own limitations, your own beliefs, your own flawed and fragmented angle on the world and see it from a thousand different perspectives. You have to see giant abstract patterns and filter through human nature, politics, technology, social dynamics, trends, statistics and probability. It's so mind-numbingly complex that our tiny little simian brains stand very little chance of getting it right. Even predicting the future five or ten years out is amazingly complicated. So what am I going to do? Yes, I realize this is utterly insane. It's like climbing Mount Everest, with no shoes, no jacket, no Sherpa, and no oxygen after having barely climbed a small hill! Of course, I'm going to do it anyway. When someone asked George Mallory why he climbed Mt Everest, he said "because it was there." Like many famous quotes, he probably never really said it but who cares? The quote was so good we had to invent it anyway! Let's dive in and take a look at how AI will change society in the next few years, and by the time you're old and grey, and when you're long since turned to dust.

The Air Force has released an artificial intelligence strategy intended to focus the service's budget planning, adoption of data and commercial partnerships for a future in which AI-enabled capabilities transform the conduct of war. The 2019 Air Force Artificial Intelligence Annex to the Defense Department AI Strategy, obtained by Inside Defense, follows a directive in President Trump's executive order on AI for each of the military services to "respond with tangible deliveries into future years planning," according to...

The Naval Facilities Engineering and Expeditionary Warfare Center (NAVFAC EXWC) is a command of more than 1,100 dedicated men and women who provide specialized facilities engineering, technology solutions, and life-cycle management of expeditionary equipment to the Navy, Marine Corps, federal agencies, and other Department of Defense supported commands. For details about opportunities to participate as a sponsor or exhibitor, please contact: Bill Simmons (805) 351-9429 • BSimmons@iprise.com

Jimmy Gomez is a California Democrat, a Harvard graduate and one of the few Hispanic lawmakers serving in the US House of Representatives. But to Amazon's facial recognition system, he looks like a potential criminal. Gomez was one of 28 US Congress members falsely matched with mugshots of people who've been arrested, as part of a test the American Civil Liberties Union ran last year of the Amazon Rekognition program. Nearly 40 percent of the false matches by Amazon's tool, which is being used by police, involved people of color. This is part of a CNET special report exploring the benefits and pitfalls of facial recognition.

On Friday, September 6, 2019, Secretary of Energy Rick Perry announced the formal establishment of DOE's Artificial Intelligence and Technology Office. Chief Technology Officer of the United States, Michael Kratsios: "Under Secretary Perry's leadership, the Department of Energy is critical to our Nation's success in the development and application of artificial intelligence. I commend the Secretary for establishing the Artificial Intelligence and Technology Office to coordinate DOE's vast AI efforts and carry out the mission of the Trump Administration's national strategy for American leadership in AI." Representative Bill Foster (D-IL): "Developments in artificial intelligence are at the forefront of technological innovations that are changing our country and our world. The Department of Energy and our world-class national laboratories are leading the way, including in the district I represent, where Argonne National Laboratory is building the world's most advanced supercomputer to power the use of AI for everything from responding to climate change, to fighting cancer, and ensuring our nation's security. DOE's new Artificial Intelligence and Technology Office will play a crucial role in coordinating the work being done in AI and provide support for the researchers across DOE who are on the frontlines of this transformative work. I applaud Secretary Perry for continuing DOE's long history of scientific leadership by establishing this new office, and I look forward to working in Congress to support AITO's work, as well as the continued technological leadership of our national labs."

New deep learning models predict the interactions between atoms in organic molecules. These models, which were generated using supercomputers at the San Diego Supercomputer Center and the Los Alamos National Laboratory, help computational biologists and drug development researchers better understand and treat disease. According to a release issued earlier this month by the Los Alamos National Laboratory (LANL), researchers have developed a machine learning approach called transfer learning that lets them model novel materials by learning from data collected about millions of other compounds. The new approach can be applied to new molecules in milliseconds, enabling research into a far greater number of compounds over much longer timescales. The new technique, called ANI-1ccx potential, promises to advance the capabilities of researchers in many fields and improve the accuracy of machine learning-based potentials in future studies of metal alloys and detonation physics.

Nashua, N.H. – September 10, 2019 – iCAD, Inc. (NASDAQ: ICAD), a global medical technology leader providing innovative cancer detection and therapy solutions, today announced the results of its reader study for ProFound AI fo... Continue reading

You could be forgiven for thinking that AI will soon replace human physicians based on headlines such as "The AI Doctor Will See You Now," "Your Future Doctor May Not Be Human," and "This AI Just Beat Human Doctors on a Clinical Exam." But experts say the reality is more of a collaboration than an ousting: Patients could soon find their lives partly in the hands of AI services working alongside human clinicians. There is no shortage of optimism about AI in the medical community. But many also caution the hype surrounding AI has yet to be realized in real clinical settings. There are also different visions for how AI services could make the biggest impact.