Latest from MIT : Understanding viral justice

In the wake of the Covid-19 pandemic, the word “viral” has a new resonance, and it’s not necessarily positive. Ruha Benjamin, a scholar who investigates the social dimensions of science, medicine, and technology, advocates a shift in perspective. She thinks justice can also be contagious. That’s the premise of Benjamin’s award-winning book “Viral Justice: How…

Latest from MIT : Armando Solar-Lezama named inaugural Distinguished College of Computing Professor

The MIT Stephen A. Schwarzman College of Computing named Armando Solar-Lezama as the inaugural Distinguished College of Computing Professor, effective July 1.  Solar-Lezama is the first person appointed to this position generously endowed by Professor Jae S. Lim of the Department of Electrical Engineering and Computer Science (EECS). Established in the MIT Schwarzman College of…

Latest from MIT Tech Review – How judges, not politicians, could dictate America’s AI rules

It’s becoming increasingly clear that courts, not politicians, will be the first to determine the limits on how AI is developed and used in the US. Last week, the Federal Trade Commission opened an investigation into whether OpenAI violated consumer protection laws by scraping people’s online data to train its popular AI chatbot ChatGPT. Meanwhile,…

UC Berkeley – Training Diffusion Models with Reinforcement Learning

Training Diffusion Models with Reinforcement Learning replay Diffusion models have recently emerged as the de facto standard for generating complex, high-dimensional outputs. You may know them for their ability to produce stunning AI art and hyper-realistic synthetic images, but they have also found success in other applications such as drug design and continuous control. The key…

UC Berkeley – Training Diffusion Models with Reinforcement Learning

Training Diffusion Models with Reinforcement Learning replay Diffusion models have recently emerged as the de facto standard for generating complex, high-dimensional outputs. You may know them for their ability to produce stunning AI art and hyper-realistic synthetic images, but they have also found success in other applications such as drug design and continuous control. The key…

Latest from MIT : Study finds ChatGPT boosts worker productivity for some writing tasks

Amid a huge amount of hype around generative AI, a new study from researchers at MIT sheds light on the technology’s impact on work, finding that it increased productivity for workers assigned tasks like writing cover letters, delicate emails, and cost-benefit analyses. The tasks in the study weren’t quite replicas of real work: They didn’t…

Latest from MIT Tech Review – Mustafa Suleyman: My new Turing test would see if AI can make $1 million

AI systems are increasingly everywhere and are becoming more powerful almost by the day. But even as they become ever more ubiquitous and do more, how can we know if a machine is truly “intelligent”? For decades the Turing test defined this question. First proposed in 1950 by the computer scientist Alan Turing, it tried…

Latest from Google AI – Symbol tuning improves in-context learning in language models

Posted by Jerry Wei, Student Researcher, and Denny Zhou, Principal Scientist, Google Research A key feature of human intelligence is that humans can learn to perform new tasks by reasoning using only a few examples. Scaling up language models has unlocked a range of new applications and paradigms in machine learning, including the ability to…