Last year, IDx-DR became the first-ever so-called "autonomous AI" system cleared by the FDA to provide a screening decision without the oversight of a doctor. Since then, IDx Technologies, the company behind the product, has begun to roll out this tool designed to detect diabetic retinopathy. Over 30 million people are living with diabetes in the US alone. "The disease itself is bad," said Michael Abramoff, a University of Iowa ophthalmologist and computer scientist, "but the complications make it even worse." One of those complications is diabetic retinopathy, the leading cause of blindness in American adults.

Tempo Automation's Jeff McAlvay: His big idea was to make hardware development happen at the speed of software development. San Francisco isn't known as a manufacturing center. But in the heart of the city, not far from the highway, a venture-backed startup, Tempo Automation, is manufacturing electronics for big-name clients. Tempo, which has raised a total of $75 million from investors that include Point72 Ventures, Lockheed Martin and Lux Capital, isn't your typical, mass-production contract manufacturer. Instead, in its tucked-away basement factory, Tempo is helping companies like Lockheed Martin, General Electric, Hitachi and NASA produce small runs and prototypes of printed circuit boards quickly and accurately thanks to its proprietary software, machine learning and automation. On a recent visit, workers wearing white or gray smocks and special yellow tape in their shoes to draw static electricity into the ground, moved blue trollies of electronic components that are scanned by digital QR code into position.

Given the Indian government's latest emphasis on developing a program for artificial intelligence, we chose to apply the strengths of ours (deep analysis of AI implications and apps) to figure out Since the first 90s, the IT and ITeS services sector of India has been of huge value to the economy of its gradually growing to account for 7.7 % of India's GDP in 2016. In an effort to cash in on this foundation, the present Indian administration announced in February 2018 that the federal government think tank, National Institution for Transforming India (NITI) Aayog (Hindi for Policy Commission), will spearhead a national program on AI focusing on investigation. This particular improvement comes on the high heels of the launch of a Task Force on Artificial Intelligence for India's Economic Transformation by the Commerce as well as Industry Department of the Government of India in 2017. The industry professionals we interviewed seemed to agree that artificial intelligence has definitely caught the attention of the Indian government as well as the tech community recently. Based on Komal Sharma Talwar, Co-founder XLPAT Labs as well as part of India's AI Task Force: "I really feel the Mody's government has discovered we have to have the proper policy in place so that there is a mission statement from their website as to just how AI must evolve in the nation so it is advantageous at big for the country." Certainly it is comments as Komal's which made us recognize that we ought to assist in figuring out a strategic path for artificial intelligence improvement in India – as well as find out almost as possible regarding the potential strategic value of the technology.

The Department of Veterans Affairs has launched a new center located in Silicon Valley to foster collaboration with technology companies to develop innovative healthcare solutions. The National Center for Collaborative Healthcare Innovation (NCCHI), a pilot established within the VA Palo Alto Health Care System, will focus on artificial intelligence, clinical decision support and workflow efficiencies as initial priorities. Currently, the VA Palo Alto Health Care System is looking to bring into clinical use an AI system developed by vendor DeepMind that forecasts the presence of acute kidney injury in patients early enough so clinicians can intervene to prevent deterioration. "The NCCHI is an important part of our strategy to be leaders in healthcare innovation and quality," said VA Secretary Robert Wilkie in a written statement. "The center is particularly exciting because it is uniquely designed as a catalyst to combine strengths from non-healthcare fields."

Element AI has closed a much-anticipated venture round, raising a $200 million CAD ($151.4 million USD) Series B from the Government of Quebec, pension fund Caisse de dépôt et placement du Québec (CDPQ), and McKinsey & Company, among others. The $200 million in funding is one of the largest venture capital rounds in Canadian history, and follows a record-breaking year for Canadian tech. New investors included CDPQ, a long-term institutional investor, McKinsey & Company, a global management consulting firm and owner of advanced analytics company QuantumBlack, and Gouvernement du Québec. Existing investors from this round include DCVC (Data Collective), Hanwha Asset Management, BDC Capital, Real Ventures, among many others, the startup said, bringing the total amount raised so far to $340 million CAD ($257 million USD). "Operationalizing AI is currently the industry's toughest challenge, and few companies have been successful at taking proofs-of-concept out of the lab, imbedding them strategically in their operations, and delivering actual business impact," said Element AI CEO Jean-François Gagné. "We are proud to be working with our new partners who understand this challenge well, and to leverage each other's expertise in taking AI solutions to market."

Element AI has closed a much-anticipated venture round, raising a $200 million CAD ($151.4 million USD) Series B from the Government of Quebec, pension fund Caisse de dépôt et placement du Québec (CDPQ), and McKinsey & Company, among others. The $200 million in funding is one of the largest venture capital rounds in Canadian history, and follows a record-breaking year for Canadian tech. New investors included CDPQ, a long-term institutional investor, McKinsey & Company, a global management consulting firm and owner of advanced analytics company QuantumBlack, and Gouvernement du Québec. Existing investors from this round include DCVC (Data Collective), Hanwha Asset Management, BDC Capital, Real Ventures, among many others, the startup said, bringing the total amount raised so far to $340 million CAD ($257 million USD). "Operationalizing AI is currently the industry's toughest challenge, and few companies have been successful at taking proofs-of-concept out of the lab, imbedding them strategically in their operations, and delivering actual business impact," said Element AI CEO Jean-François Gagné. "We are proud to be working with our new partners who understand this challenge well, and to leverage each other's expertise in taking AI solutions to market."

When you are as big and visible as a battleship on the high seas, you don't even think about hiding. So how do you avoid becoming a true sitting duck for a quick missile strike from an agile adversary on land or on sea? Indeed, that's why Electronic Warfare (EW) was invented; it, together with radar, was used to detect threats, take evasive action and, if needed, to launch countermeasures against any attack and its source. However, the telecommunications boom, including networks of signals for billions of mobile phones and computers, has created massive congestion if not saturation in the radiofrequency spectrum. The result: it's much more difficult to find'signals of interest' in military terms; the arrival of 5G telecommunications and the internet of things are adding even more electromagnetic fog that obscures threat detection. In fact, separating the wheat from the chaff today is more like finding a needle in a haystack.

GE Healthcare has received 510(k) clearance for AI algorithms designed to detect a type of collapsed lung on x-ray images, the company said Thursday. The FDA clearance covers a set of algorithms that GE has embedded in its Optima XR240amx mobile x-ray device, thereby enabling hospitals to access AI capabilities without investing in IT infrastructure. GE, which claims the system is the first AI-powered x-ray device, said the technology will help hospitals identify high-priority cases and fast track their treatment. Turnaround times for chest x-rays vary significantly, even within healthcare institutions. A retrospective chart review conducted in 2018 showed that out of 1,000 chest x-rays ordered with STAT priority, 38% of studies did not indicate clinical urgency, suggesting the status is overused.

And on Nov. 2, 2018, NASA's Voyager 2 spacecraft crossed into the vastness of interstellar space, following Voyager 1, which made the leap six years earlier. Since their launch in 1977, the two probes have traveled more than 11 billion miles across the solar system, lasting much longer than scientists anticipated. Powered by plutonium and drawing 400 watts of power each to run their electronics and heat, the probes still snap photos and send them back to NASA. After 42 years, though, only six of Voyager 2's 10 instruments still work, and NASA scientists expect the probe will go dark in 2025, well before it leaves our Solar system. But what if Voyager 2 needed only a couple of watts of power?

And on Nov. 2, 2018, NASA's Voyager 2 spacecraft crossed into the vastness of interstellar space, following Voyager 1, which made the leap six years earlier. Since their launch in 1977, the two probes have traveled more than 11 billion miles across the solar system, lasting much longer than scientists anticipated. Powered by plutonium and drawing 400 watts of power each to run their electronics and heat, the probes still snap photos and send them back to NASA. After 42 years, though, only six of Voyager 2's 10 instruments still work, and NASA scientists expect the probe will go dark in 2025, well before it leaves our Solar system. But what if Voyager 2 needed only a couple of watts of power?