Natural language processing has been profoundly impacted by the advent of vast neural network models that display remarkable fluency and language comprehension abilities. However, as covered previously, these large language models also suffer from several key deficiencies: brittleness, opacity, and hallucination.

Google has introduced the market’s first native multimodal generative AI model capable of ingesting and providing content based on text, audio, images, and video.

Apple has released an open-source AI model named ‘MGIE’ that can edit images based on natural language instructions.

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The Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT has developed a new way for LLMs to explain the behavior of other AI systems.

The method is called Automated Interpretability Agents (AIAs), pre-trained language models that provide intuitive explanations for computations in trained networks.

AIAs are designed to mimic the experimental process of a scientist designing and running tests on other computer networks.

Ask any parent, and they’ll tell you that one of — if not the — biggest challenges facing them is trying to decipher a newborn’s anguished cries in the middle of the night. Is the baby hungry? Does she have an upset stomach, or is she in the throes of colic? Maybe the poor girl needs to poop?

The only thing worse than feeling helpless in the face of such unreadable emotions is trying everything and still having no idea what’s wrong or how to ease their baby’s discomfort. Such a dilemma, mixed with a lack of quality sleep, can easily slide into feelings of inadequacy, frustration, and depression.

To help parents find peace of mind and a more restful night’s sleep, the startup Cappella has gathered a team of MIT, Berkeley, and Stanford engineers to help parents answer those inscrutable midnight questions. The team developed an app that detects baby sounds and then translates them so parents know what’s wrong. And the app runs on technology that’s already available in most U.S. homes.

A new report says that Apple bought “up to” 32 AI startups in 2023, more artificial intelligence acquisitions than any other tech giant.