To cement trust and drive business success, we must be able to explain how algorithms “think.” Artificial intelligence (AI) promises to help companies accomplish business goals in the short and long term. But if companies can’t demonstrate that AI has been correctly programmed, people may be less likely to trust AI-powered systems. It’s natural for […]
Google Duplex, one giant leap for AI … or another step towards the ultimate deep fake? At the beginning of May, in Google I/O 2018 Keynotes Sundai Pichard presented Google Duplex. That’s one small step for a man, one giant leap for mankind. Neil Amrstrong, 20/7/1969 As you can see from the video below, Duplex is not only able
Google Duplex – realismo “umano” nella conversazione automatica Read More »
Today’s leading minds talk AI with host Byron Reese About this Episode Episode 91 of Voices in AI features Byron speaking with Mazin Gilbert from AT&T Labs about the nature of intelligence and why we have so much trouble defining it. Listen to this episode or read the full transcript at www.VoicesinAI.com Transcript Excerpt Byron
Can a machine tell you which movie you’re going to like watching next? Can it call a restaurant to make a reservation for you? Can its driving be safer than yours? Of course! Today, these artificially intelligent (AI) machines are doing a great job at simulating human intelligence. AI has been helping us to make
AI helping us make informed decisions, lending hand in day-to-day chores Read More »
Today’s leading minds talk AI with host Byron Reese About this Episode Episode 92 of Voices in AI features Byron speaking with Chris Duffey about the nature of creativity and how machine intelligence can interact with creative concepts. Listen to this episode or read the full transcript at www.VoicesinAI.com Transcript Excerpt Byron Reese: This is
May 10, 2019 Posted by Brian Njoroge in Head Scratch | 4 comments Every decade, has its hottest job opportunity. During the early 1980s and early 1990s, people were in a rush to apply investment and banking jobs. In the late 90s and early 2000s, with the growth of the internet, and most Tech graduate
Neuromorphic Computers: Being inspired by biology can help overcome the limitations of modern computer architectures. We had already mentioned neuromorphic computers in the article about specialized hardware for AI. The concept of neuromorphic computers is not exactly new: in fact, it was coined in the ’80s by C. Mead, then “made official” in an article that later
the new generation of machine learning? – Nonteek Read More »
By some estimates artificial intelligence could add $13 trillion to the global economy over the next decade, but many companies are unwilling or unsure about how to implement AI in their own businesses. In that timeframe, up to 70% of businesses could implement some form of AI to streamline or simplify their business. AI can
Three trade-offs will shape Big Tech and government responses to artificial intelligence, blockchain, and more. New technologies promise to reshape markets in what many are calling the Fourth Industrial Revolution. Technologies being developed and deployed to solve problems have caused rapid societal shifts, creating new problems in their wake. Widespread breaches of personal data and
How emerging tech presents an evolving policy balancing act Read More »
Today’s leading minds talk AI with host Byron Reese About this Episode Episode 93 of Voices in AI features Byron speaking with Berkeley Robotic Learning Lab Director Pieter Abbeel about the nature of AI, the problems with creating intelligence and the forward trajectory of AI research. Listen to this episode or read the full transcript
