The world is buzzing about artificial intelligence (AI), driven by the remarkable advancements in deep neural networks, large language models, and other types of foundation models. But what’s next? A new whitepaper, “Envisioning Possible Futures for AI Research,” from the Computing Community Consortium (CCC) dives into this crucial question, suggesting that the current wave of AI innovation, while powerful, is built on a paradigm that’s already 15 years old. “The current paradigm, while incredibly successful, is not the endpoint,” says David Jensen, one of the paper’s authors from the University of Massachusetts Amherst. “For AI to continue to progress over the long term, we need researchers to be actively exploring […]

A new episode of the Computing Community Consortium‘s (CCC) podcast, Catalyzing Computing, is now available. This is part two of Khari Douglas’ interview with Natesh Ganesh, a recent PhD graduate from the University of Massachussetts at Amherst and a current Research Fellow at the University of Colorado, Boulder through the NIST Professional Research Experience Program (PREP). Natesh’s research interest lie in the fields of AI, neuromorphic hardware, thermodynamics (Natesh was an organizer of the CCC’s 2019 Thermodynamic Computing workshop, read the Thermodynamic Computing workshop report here), and the emergence of consciousness. In this episode we talk about some of the key contributors to the space of artificial consciousness and discuss the ethics […]