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Latest from MIT : Photonic processor could enable ultrafast AI computations with extreme energy efficiency
The deep neural network models that power today’s most demanding machine-learning applications have grown so large and complex that they are pushing the limits of traditional electronic computing hardware. Photonic hardware, which can perform machine-learning computations with light, offers a faster and more energy-efficient alternative. However, there are some types of neural network computations that…
Latest from MIT : A new way to let AI chatbots converse all day without crashing
When a human-AI conversation involves many rounds of continuous dialogue, the powerful large language machine-learning models that drive chatbots like ChatGPT sometimes start to collapse, causing the bots’ performance to rapidly deteriorate. A team of researchers from MIT and elsewhere has pinpointed a surprising cause of this problem and developed a simple solution that enables…
Latest from MIT Tech Review – Providing the right products at the right time with machine learning
Whether your favorite condiment is Heinz ketchup or your preferred spread for your bagel is Philadelphia cream cheese, ensuring that all customers have access to their preferred products at the right place, at the right price, and at the right time requires careful supply chain organization and distribution. Amid the proliferation of e-commerce and shifting…
Latest from Google AI – DynIBaR: Space-time view synthesis from videos of dynamic scenes
Posted by Zhengqi Li and Noah Snavely, Research Scientists, Google Research A mobile phone’s camera is a powerful tool for capturing everyday moments. However, capturing a dynamic scene using a single camera is fundamentally limited. For instance, if we wanted to adjust the camera motion or timing of a recorded video (e.g., to freeze time…
Latest from Google AI – Hybrid Quantum Algorithms for Quantum Monte Carlo
Posted by William J. Huggins, Research Scientist, Google Quantum AI The intersection between the computational difficulty and practical importance of quantum chemistry challenges run on quantum computers has long been a focus for Google Quantum AI. We’ve experimentally simulated simple models of chemical bonding, high-temperature superconductivity, nanowires, and even exotic phases of matter such as…
Latest from MIT Tech Review – Can AI help me plan my honeymoon?
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. I’m getting married later this summer and am feverishly planning a honeymoon together with my fiancé. It has been at times overwhelming trying to research and decide between what seem like…