Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.
Chances are, you're exposed to artificial intelligence every day. And artificial intelligence has been the cause of many of the technological breakthroughs in the past several years - from robots to Tesla (TSLA) . But while there are certainly naysayers to the technological development, AI seems set to become the future of predictive tech. But, what actually is artificial intelligence, and how does it work? Better still, how is AI being used in 2019?
Artificial intelligence is a trending technology from quite a few years now. You must have heard a lot about it in tech news and blogs. There are various predictions about the future of Artificial intelligence but have you ever been keen to about its initial stages? In contemporary times, AI along with its subsets machine learning and deep learning are ruling the innovations in the software industry market. In fact, the magic of AI is such that 41 percent of consumers are expecting that their life will change with AI in the future.
As we enter our third decade in the 21st century, it seems appropriate to reflect on the ways technology developed and note the breakthroughs that were achieved in the last 10 years. The 2010s saw IBM's Watson win a game of Jeopardy, ushering in mainstream awareness of machine learning, along with DeepMind's AlphaGO becoming the world's Go champion. It was the decade that industrial tools like drones, 3D printers, genetic sequencing, and virtual reality (VR) all became consumer products. And it was a decade in which some alarming trends related to surveillance, targeted misinformation, and deepfakes came online. For better or worse, the past decade was a breathtaking era in human history in which the idea of exponential growth in information technologies powered by computation became a mainstream concept.