Machine Learning (ML) algorithms are embedded in the fabric of much of the technology we use every day. ML innovations spanning computer vision, deep learning, natural language processing (NLP), and beyond are part of a larger revolution around practical artificial intelligence (AI). Not autonomous robots or sentient beings but an intelligence layer baked into our apps, software, and cloud services that combines AI algorithms and Big Data under the surface.
California is the favorite destination for technology and automotive companies to test out their self-driving technology -- around 27 companies are testing their self-driving vehicles in the state. Keeping in mind the scale of the technology in the state, the California Department of Motor Vehicles (DMV) proposed some regulations governing the use of the technology on the state roads in March.
Modern health systems can treat and cure more diseases than ever before. New technology is bringing innovation to old treatments. Yet significant quality, access and cost issues remain and our health systems are becoming increasingly unsustainable. The emergence and increasing use of artificial intelligence (AI) and robotics will have a significant impact on healthcare systems around the world.
It's a brand new year, and a good time to look into the future to see what the next 12 months will bring. I listened to my friend Bridget Karlin make her predictions on the radio program Coffee Break with Game-Changers, which compiled what 80 thought leaders in technology, business and academics foresee for companies and industry in the coming year. Karlin, who is Intel's managing director of Internet of Things (IoT) Strategy and Technology, made the prediction that in 2017, artificial intelligence in all its various forms will go mainstream.
Millions of citizen scientists have been flocking to projects that pool their time and brainpower to tackle big scientific problems, from astronomy to zoology. Projects such as those hosted by the Zooniverse get people across the globe to donate some part of their cognitive surplus, pool it with others' and apply it to scientific research.
Chat bots, robots, virtual assistants and other devices powered by business algorithms are rapidly joining the ranks of workers in every industry and profession. But instead of fearing artificial intelligence (AI) and resultant job losses, it's up to human resource (HR) professionals to cultivate these innovations for the opportunities they bring to people and the company. I tuned in to a recent episode of Changing the Game with HR entitled, Reimagining HR: Will Machines Replace the Human Side of Business?, to hear a group of smart thinkers share their insights on AI with SAP Radio host and moderator Bonnie D. Graham.
As intelligent as AI is becoming, it's still not clever enough to fool the most determined of hackers. Just last year, researchers tricked a commercial facial recognition system into thinking they were someone they weren't just by wearing a pair of patterned glasses. It was simply a sticker with a hallucinogenic print on it, but to the AI it was so much more. Because of the twists and curves of the pattern to the computer the glasses resembled someone's face, and by altering the patterns, the researchers could choose any face they wanted and that's what the AI saw.