Sophisticated machine learning applications require not only enormous amounts of training data, but powerful computer hardware on which to train. An analysis conducted by San Francisco research firm OpenAI found that since 2012, the amount of compute used in the largest training runs has been increasing exponentially with a 3.4-month doubling time, and that it's grown by more than 300,000 times over that same time period. The trend spurred the development of supercomputers like the U.S. Department of Energy's Sierra and Summit, which leverage dedicated accelerator chips to speed up AI computation. Now, IBM's Hardware Center, in collaboration with New York State, SUNY Polytechnic Institute, and other members of IBM's AI Hardware Center, has delivered a new machine for the Department of Computer Science at Rensselaer Polytechnic Institute (RPI) that's optimized for state-of-the-art machine learning workloads. It's dubbed Artificial Intelligence Multiprocessing Optimized System, or AiMOS (in honor of Rensselaer cofounder Amos Eaton), and it will principally tackle projects in biology, chemistry, the humanities, and related domains underway at the new IBM Research AI Hardware Center on the SUNY campus in Albany.
It's been another eventful year for cyber attacks. More than 4 billion records have been breached so far – and we're not even to the end of the year yet! But 2019 will soon be behind us. It's now time to look toward 2020 and speculate on what will transpire next in the ongoing cybersecurity battle. What new and evolving technologies will be at the forefront of cybersecurity?
Employers engage artificial intelligence solutions amid a talent shortage. As employers grapple with a widespread labor shortage, more are turning to artificial intelligence tools in their search for qualified candidates. Hiring managers are using increasingly sophisticated AI solutions to streamline large parts of the hiring process. The tools scrape online job boards and evaluate applications to identify the best fits. They can even stage entire online interviews and scan everything from word choice to facial expressions before recommending the most qualified prospects.
The Department of Veterans Affairs, the nation's largest integrated healthcare system, is centralizing the agency's efforts to advance its artificial intelligence research and development capabilities. The VA on Thursday announced the establishment of the National Artificial Intelligence Institute, a joint initiative by the Office of Research and Development and the Office of the Secretary's Center for Strategic Partnerships. "VA has a unique opportunity to be a leader in artificial intelligence," said VA Secretary Robert Wilkie in a written statement. "VA's artificial intelligence institute will usher in new capabilities and opportunities that will improve health outcomes for our nation's heroes." The National Artificial Intelligence Institute will solicit, develop and execute flagship AI research and development projects--with veteran input--focusing on deep learning, explainable AI, privacy-preserving AI as well as AI for multi-scale time series.
ESA's SpaceBok robot is designed to walk, hop, and run in low-gravity environments. From free-flying droids to humanoids, from crawlers to inflatable torsos, space robots of myriad types are now being considered for missions in low Earth orbit, on interplanetary spacecraft, and on other worlds. It might sound like a prop list from a Star Wars movie, but space agencies and their contractors are developing a panoply of robotic assistants with a serious aim in mind: to boost the productivity and safety of astronauts. The idea behind robot assistants is multifaceted: one aim is to offload time-consuming repetitive tasks like space station cleaning and inventory making from crew members to free-flying or humanoid robots. Ground robots controlled from, say, spacecraft orbiting the Moon or Mars could construct human habitats ahead of a landing, or perform reconnaissance ahead of human exploration missions.
I recently had the opportunity to take a ride in a Waymo self-driving car in Chandler, AZ. I had been looking forward to this experience, not only to see how well the technology worked but also what the experience might be like as a passenger. Upon my arrival at the Waymo facility, I had apparently approached the side of the building where the Waymo cars go at the end of their duty cycles to be refueled and inspected. As I drove in, I was more or less surrounded by incoming Waymo vehicles. I relaxed as they navigated their way around me.
Artificial intelligence has had a profound impact on finance. In the span of a few decades, it has made finance faster, more accessible, more profitable, and more efficient in many ways. Despite all the significant benefits made possible by financial artificial intelligence, it also presents serious risks and implications for law, business, and society. My recent article, 'Artificial Intelligence, Finance, and the Law', published in the Fordham Law Review, offers a study of those risks and implications. It provides a broad examination of the inherent risks and larger implications of financial artificial intelligence.
Lord Drayson seems a man on the move. As an amateur racing driver, it is perhaps an innate charateristic, and in the current debate around health data his foot is very much on the gas. I meet the former Labour government science and defence minister shortly after he lays out a bold new vision for the NHS at FutureScot's recent Digital Health & Care conference in Glasgow. Urbane and well-connected, Drayson is also a keen student of policy and how the arguments around big tech and health data are shaping up. For background, there is an intensifying argument that the NHS needs to make much more use of a still largely untapped goldmine of data, which could herald a new dawn in the way we diagnose, treat and manage disease – not to mention save billions of pounds annually.
Artificial intelligence and AI are transformative advancements that level many playing fields, such a large number of in reality that a small country can militarily contend with extraordinary military power, similar to the US. The Chinese have an open, exceptionally profound, amazingly well-subsidized pledge to AI. Aviation based armed forces General VeraLinn Jamieson says it evidently: "We gauge the complete spending on artificial intelligence frameworks in China in 2017 was $12 billion. We likewise gauge that it will develop to at any rate $70 billion by 2020." Andrew Yang, during a Democratic Candidates banter, expressed that the US is losing the AI weapons contest to China. Barely a year back, I contended something very similar.
As wildfire season raged in California this fall, a startup a few states away used artificial intelligence to pinpoint the location of blazes there within minutes -- in some cases far faster than these fires might otherwise be noticed by firefighters or civilians. Santa Fe-based Descartes Labs, which uses AI to analyze satellite imagery, launched its U.S. wildfire detector in July. The company's AI software pores over images coming in roughly every few minutes from two different U.S. government weather satellites, in search of any changes -- the presence of smoke, a shift in thermal infrared data showing hot spots -- that could indicate a fire has ignited. Descartes is testing its detector by sending alerts to select forestry officials in its home state of New Mexico and told CNN Business its wildfire detector has spotted about 6,200 total thus far. The company says it can often detect these fires when they're just about 10 acres in size.