Lifeboat Foundation

The new project will develop robotic satellite technologies to reliably connect with other satellites to perform in-orbit repairs and maintenance.

Explore the future of space technology as the University of Sydney pioneers a $2.3 million initiative in collaboration with industry leaders.

Altman estimates that he would need between $5 trillion and $7 trillion to overhaul the semiconductor industry, which is currently dominated by Nvidia, the leading provider of graphics processing units (GPUs) for AI applications. Nvidia’s market cap has soared to $1.72 trillion in 2023, surpassing many tech giants such as Amazon and Alphabet. Altman wants to challenge Nvidia’s monopoly and create more competition and innovation in the AI chip market.

White House’s $11 billion bet on US semiconductor

Meanwhile, The White House announced the US government’s plan to spend $11 billion on semiconductor-related research and development on Friday. This move comes in the wake of Congress approving the Chips and Science Act in August 2022, which provides $52.7 billion for semiconductor production and R&D. Of this, $39 billion is allocated for subsidies and $11 billion for R&D.

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.

Witness the future of transportation with the world’s first fully autonomous truck yard, revolutionizing logistics in Texas and beyond.

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.