Last year proved to be one of the most difficult periods of time for companies and governments all around the world due to COVID-19, and the challenges persist as we move further into 2021.
Read MoreWhile many may not recognize artificial intelligence (AI) on the ground during the unfolding COVID-19 pandemic, it is increasingly being implemented on the front lines. It is no longer the case that AI is restricted to academic circles and research institutions, but it is one of the most effective forms of defense and prevention.
Read MorePerformance capture, synthetic characters, AI generated assets, self-designing games, and deepfakes are disrupting entertainment, news, politics and the fabric or public discourse. What future lies in front of us?
Read MoreRecent developments in artificial intelligence and robotics, and autonomous driving in particular, have rekindled interest in ethics throughout the world, and especially in the United States.
Read MoreRobots and AI systems hold the promise of bringing widespread and extensive benefits to society. Robots will increasingly have the ability to perform the dull, dirty, or dangerous work that humans perform today, saving humans from boredom, health problems, injuries, or even death.
Read MoreGiancarlo Mori’s workshop “Artificial Intelligence and Machine Learning: Make Your Business More Effective and Profitable” will be held at Stanford from 9:00 am to 4:00 pm on January 26th, 2019.
Read MoreOn January 25-26, Re•Work held the annual Deep Learning summit in San Francisco, with 60 speakers from big and small players in the sector. Read about the key takeaways.
Read MoreA newly released Deloitte report highlights AI / ML as a key trend in tech and media for 2018.
Read MoreA very comprehensive and illuminating review of AI in business today: The Business of Artificial Intelligence at the Harvard Business Review, by Erik Brynjolfsson (@erikbryn) and Andrew McAfee (@amcafee).
Read MoreThere is a lot of hype surrounding artificial intelligence (AI) these days. Expectations for AI are sky-high, but the gap between ambition and execution is large at most companies.
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