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Latest from Google AI – VideoPoet: A large language model for zero-shot video generation
Posted by Dan Kondratyuk and David Ross, Software Engineers, Google Research A recent wave of video generation models has burst onto the scene, in many cases showcasing stunning picturesque quality. One of the current bottlenecks in video generation is in the ability to produce coherent large motions. In many cases, even the current leading models…
Latest from MIT : Nanoscale transistors could enable more efficient electronics
Silicon transistors, which are used to amplify and switch signals, are a critical component in most electronic devices, from smartphones to automobiles. But silicon semiconductor technology is held back by a fundamental physical limit that prevents transistors from operating below a certain voltage. This limit, known as “Boltzmann tyranny,” hinders the energy efficiency of computers…
Latest from Google AI – Spoken question answering and speech continuation using a spectrogram-powered LLM
Posted by Eliya Nachmani, Research Scientist, and Alon Levkovitch, Student Researcher, Google Research The goal of natural language processing (NLP) is to develop computational models that can understand and generate natural language. By capturing the statistical patterns and structures of text-based natural language, language models can predict and generate coherent and meaningful sequences of words….
Latest from MIT : New model predicts a chemical reaction’s point of no return
When chemists design new chemical reactions, one useful piece of information involves the reaction’s transition state — the point of no return from which a reaction must proceed. This information allows chemists to try to produce the right conditions that will allow the desired reaction to occur. However, current methods for predicting the transition state…
Latest from MIT : 3 Questions: Honing robot perception and mapping
Walking to a friend’s house or browsing the aisles of a grocery store might feel like simple tasks, but they in fact require sophisticated capabilities. That’s because humans are able to effortlessly understand their surroundings and detect complex information about patterns, objects, and their own location in the environment. What if robots could perceive their…
Latest from MIT : Advancing urban tree monitoring with AI-powered digital twins
The Irish philosopher George Berkely, best known for his theory of immaterialism, once famously mused, “If a tree falls in a forest and no one is around to hear it, does it make a sound?” What about AI-generated trees? They probably wouldn’t make a sound, but they will be critical nonetheless for applications such as…
