If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
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.
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.
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 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.
NASA has captured an incredible close-up shot of plumes of dust and rocks erupting from the surface of near-Earth asteroid Bennu as it spins through the solar system. Researchers from the University of Arizona have been studying the images taken by the navigation camera on the OSIRIS-REx spacecraft. The high-resolution images were taken as part of a NASA mission to bring samples of the asteroid - that is about 300,000miles away - back to Earth for scientists to study. These images offer a detailed look at small-scale rock and particle loss from an active asteroid for the first time, say researchers. Previous studies have been limited to only the largest ejections seen from Earth.
SpaceX successfully launched the'Dragon' capsule on top of its Falcon 9 rocket from Cape Canaveral Air Force Station, Florida for its 19th commercial resupply mission to the International Space Station. The craft took off at 12:29 PM Thursday carrying a 5,700-pound payload that includes genetically-edited'mighty-mice' and Budweiser barley seeds. The Dragon safely deployed from the rocket and is coasting towards the International Space Station– it will reach the craft in three days and spend a total of 30 before returning to Earth with other research and cargo. The mission had been scheduled to launch yesterday, but rough winds detected in the upper atmosphere forced a one-day delay for safety reasons. However, it was a beautiful day in Cape Canaveral with low wind speeds, allowing SpaceX to give the launch another go.
As use of artificial intelligence and machine learning (AI/ML) in medicine continues to grow, regulators face a fundamental problem: After evaluating a medical AI/ML technology and deeming it safe and effective, should the regulator limit its authorization to market only the version of the algorithm that was submitted, or permit marketing of an algorithm that can learn and adapt to new conditions? For drugs and ordinary medical devices, this problem typically does not arise. But it is this capability to continuously evolve that underlies much of the potential benefit of AI/ML. We address this "update problem" and the treatment of "locked" versus "adaptive" algorithms by building on two proposals suggested earlier this year by one prominent regulatory body, the U.S. Food and Drug Administration (FDA) (1, 2), which may play an influential role in how other countries shape their associated regulatory architecture. The emphasis of regulators needs to be on whether AI/ML is overall reliable as applied to new data and on treating similar patients similarly.
Genetically-edited'mighty mice' are being sent up to the International Space Station today as experts investigate how to limit muscle and bone loss in low gravity. Tweaked to have enhanced muscle growth, the ripped rodents will ride on-board a ship being launched by Elon Musk's rocket company, SpaceX. The mission had been scheduled to launch yesterday, but rough winds detected in the upper atmosphere forced a one-day delay for safety reasons. Lift-off of the Falcon 9 rocket is now expected to take place at 12:29 EST (19:29 GMT) from NASA's Kennedy Space Center in Florida. It's'Dragon' capsule will go on to dock with the space station on Sunday.