Latest from MIT : Researchers create “The Consensus Game” to elevate AI’s text comprehension and generation skills

Imagine you and a friend are playing a game where your goal is to communicate secret messages to each other using only cryptic sentences. Your friend’s job is to guess the secret message behind your sentences. Sometimes, you give clues directly, and other times, your friend has to guess the message by asking yes-or-no questions…

Latest from MIT Tech Review – A conversation with OpenAI’s first artist in residence

Alex Reben’s work is often absurd, sometimes surreal: a mash-up of giant ears imagined by DALL-E and sculpted by hand out of marble; critical burns generated by ChatGPT that thumb the nose at all AI art. But its message is relevant to everyone. Reben is interested in the roles humans play in a world filled…

Latest from MIT Tech Review – It’s easy to tamper with watermarks from AI-generated text

Watermarks for AI-generated text are easy to remove and can be stolen and copied, rendering them useless, researchers have found. They say these kinds of attacks discredit watermarks and can fool people into trusting text they shouldn’t.  Watermarking works by inserting hidden patterns in AI-generated text, which allow computers to detect that the text comes…

Latest from MIT : MIT launches Working Group on Generative AI and the Work of the Future

From students crafting essays and engineers writing code to call center operators responding to customers, generative artificial intelligence tools have prompted a wave of experimentation over the past year. At MIT, these experiments have raised questions — some new, some ages old — about how these tools can change the way we live and work. …

Latest from Google AI – AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks

Posted by Urs Köster, Software Engineer, Google Research Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches start with an assumption about the data’s patterns (prior probability), collecting evidence (e.g., new time series data), and continuously updating that assumption to form a posterior probability distribution. Traditional Bayesian…

Latest from MIT : Second round of seed grants awarded to MIT scholars studying the impact and applications of generative AI

Last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart issued a call for papers to “articulate effective roadmaps, policy recommendations, and calls for action across the broad domain of generative AI.” The response to the call far exceeded expectations with 75 proposals submitted. Of those, 27 proposals were selected for seed funding. In light…

Latest from MIT Tech Review – How three filmmakers created Sora’s latest stunning videos

In the last month, a handful of filmmakers have taken Sora for a test drive. The results, which OpenAI published this week, are amazing. The short films are a big jump up even from the cherrypicked demo videos that OpenAI used to tease its new generative model just six weeks ago. Here’s how three of…

Latest from MIT Tech Review – Four things you need to know about China’s AI talent pool 

This story first appeared in China Report, MIT Technology Review’s newsletter about technology in China. Sign up to receive it in your inbox every Tuesday. In 2019, MIT Technology Review covered a report that shined a light on how fast China’s AI talent pool was growing. Its main finding was pretty interesting: the number of elite AI…

Latest from MIT Tech Review – AI could make better beer. Here’s how.

Crafting a good-tasting beer is a difficult task. Big breweries select hundreds of trained tasters from among their employees to test their new products. But running such sensory tasting panels is expensive, and perceptions of what tastes good can be highly subjective.   What if artificial intelligence could help lighten the load? New AI models can…