EmTech Digital, MIT Technology Review’s signature AI conference, is May 2-3, 2023. This year’s event looks at the game-changing power of generative AI, the technology, and the legal implications of generated content. Leaders from OpenAI, Google, Meta, NVIDIA, and more are expected to discuss the future of AI.
Similar Posts
Latest from MIT Tech Review – How Roomba tester’s private images ended up on Facebook
A Roomba recorded a woman on the toilet. How did screenshots end up on social media? This episode we go behind the scenes of an MIT Technology Review investigation that uncovered how sensitive photos taken by an AI powered vacuum were leaked and landed on the internet. Reporting: A Roomba recorded a woman on the…
Latest from MIT : New algorithm aces university math course questions
Multivariable calculus, differential equations, linear algebra — topics that many MIT students can ace without breaking a sweat — have consistently stumped machine learning models. The best models have only been able to answer elementary or high school-level math questions, and they don’t always find the correct solutions. Now, a multidisciplinary team of researchers from…
Latest from MIT : Solving a machine-learning mystery
Large language models like OpenAI’s GPT-3 are massive neural networks that can generate human-like text, from poetry to programming code. Trained using troves of internet data, these machine-learning models take a small bit of input text and then predict the text that is likely to come next. But that’s not all these models can do….
Latest from MIT : AI generates high-quality images 30 times faster in a single step
In our current age of artificial intelligence, computers can generate their own “art” by way of diffusion models, iteratively adding structure to a noisy initial state until a clear image or video emerges. Diffusion models have suddenly grabbed a seat at everyone’s table: Enter a few words and experience instantaneous, dopamine-spiking dreamscapes at the intersection…
Latest from Google AI – Google Research, 2022 & beyond: Algorithms for efficient deep learning
Posted by Sanjiv Kumar, VP and Google Fellow, Google Research (This is Part 4 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and…
Latest from Google AI – UniPi: Learning universal policies via text-guided video generation
Posted by Sherry Yang, Research Scientist, and Yilun Du, Student Researcher, Google Research, Brain Team Building models that solve a diverse set of tasks has become a dominant paradigm in the domains of vision and language. In natural language processing, large pre-trained models, such as PaLM, GPT-3 and Gopher, have demonstrated remarkable zero-shot learning of…