Latest from MIT : Ushering in a new era of computing

As a graduate student doing his master’s thesis on speech recognition at the MIT AI Lab (now the MIT Computer Science and Artificial Intelligence Laboratory), Dan Huttenlocher worked closely with Professor Victor Zue. Well known for pioneering the development of systems that enable an user to interact with computers using spoken language, Zue traveled frequently…

Latest from Google AI – Making a Traversable Wormhole with a Quantum Computer

Posted by Alexander Zlokapa, Student Researcher, and Hartmut Neven, VP of Engineering, Quantum AI Team Wormholes — wrinkles in the fabric of spacetime that connect two disparate locations — may seem like the stuff of science fiction. But whether or not they exist in reality, studying these hypothetical objects could be the key to making…

Latest from MIT Tech Review – While everyone waits for GPT-4, OpenAI is still fixing its predecessor

Buzz around GPT-4, the anticipated but as-yet-unannounced follow-up to OpenAI’s groundbreaking large language model, GPT-3, is growing by the week. But OpenAI is not yet done tinkering with the previous version. The San Francisco-based company has released a demo of a new model called ChatGPT, a spin-off of GPT-3 that is geared toward answering questions…

Latest from MIT : Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs

Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial transactions, traffic, energy grids, and molecular interactions. As researchers collect more data and build out these graphical pictures, researchers will need faster and more efficient methods, as well as more computational…

Latest from Google AI – Better Language Models Without Massive Compute

Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team In recent years, language models (LMs) have become more prominent in natural language processing (NLP) research and are also becoming increasingly impactful in practice. Scaling up LMs has been shown to improve performance across a range of NLP tasks. For instance, scaling…

Latest from MIT Tech Review – Human creators stand to benefit as AI rewrites the rules of content creation

For years, the 150-year-old Colorado State Fair has held its fine art competition under little media glare. But when it announced the 2022 winners in August, this little-known local event immediately sparked controversy around the globe. Judges had picked synthetic media artist Jason Allen’s artificial intelligence-generated work “Théâtre D’opéra Spatial” as the winner in the…

O’Reilly Media – AI’s ‘SolarWinds Moment’ Will Occur; It’s Just a Matter of When

Major catastrophes can transform industries and cultures. The Johnstown Flood, the sinking of the Titanic, the explosion of the Hindenburg, the flawed response to Hurricane Katrina–each had a lasting impact. Even when catastrophes don’t kill large numbers of people, they often change how we think and behave. The financial collapse of 2008 led to tighter…

Latest from MIT Tech Review – Farming a war zone

Shortages of everything from seeds to fertilizer might accelerate the adoption of technologies that can help supplies go further in war-torn Ukraine. We meet:  Roman Tarasevich, Farmer, Ukraine Morten Schmidt, Chief Executive Officer, OneSoil Inbal Reshef, Program Director, NASA Harvest Olekssi Misiura, Head of Research and Development, IMC Credits: This episode was reported and produced…

Latest from MIT : Breaking the scaling limits of analog computing

As machine-learning models become larger and more complex, they require faster and more energy-efficient hardware to perform computations. Conventional digital computers are struggling to keep up. An analog optical neural network could perform the same tasks as a digital one, such as image classification or speech recognition, but because computations are performed using light instead…

Latest from MIT Tech Review – The AI myth Western lawmakers get wrong

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. While the US and the EU may differ on how to regulate tech, their lawmakers seem to agree on one thing: the West needs to ban AI-powered social scoring. As they understand it, social…