A trio of computer scientists at Auburn University, in the U.S., working with a colleague from the University of Alberta, in Canada, has found that claims of visual skills by large language models (LLMs) with vision capabilities (VLMs) may be overstating abilities.A trio of computer scientists at Auburn University, in the U.S., working with a colleague from the University of Alberta, in Canada, has found that claims of visual skills by large language models (LLMs) with vision capabilities (VLMs) may be overstating abilities.[#item_full_content]

A trio of computer scientists at Auburn University, in the U.S., working with a colleague from the University of Alberta, in Canada, has found that claims of visual skills by large language models (LLMs) with vision capabilities (VLMs) may be overstating abilities.A trio of computer scientists at Auburn University, in the U.S., working with a colleague from the University of Alberta, in Canada, has found that claims of visual skills by large language models (LLMs) with vision capabilities (VLMs) may be overstating abilities.Computer Sciences[#item_full_content]

A team of roboticists and AI specialists at Google’s DeepMind have demonstrated a robot capable of giving context-based guided tours around its offices. They have posted a paper describing their work, along with demonstration videos, on the arXiv preprint server.A team of roboticists and AI specialists at Google’s DeepMind have demonstrated a robot capable of giving context-based guided tours around its offices. They have posted a paper describing their work, along with demonstration videos, on the arXiv preprint server.Robotics[#item_full_content]

A team of roboticists and AI specialists at Google’s DeepMind have demonstrated a robot capable of giving context-based guided tours around its offices. They have posted a paper describing their work, along with demonstration videos, on the arXiv preprint server.A team of roboticists and AI specialists at Google’s DeepMind have demonstrated a robot capable of giving context-based guided tours around its offices. They have posted a paper describing their work, along with demonstration videos, on the arXiv preprint server.[#item_full_content]

A startup set out to fight climate change — it did it by helping plumbers

The founders of HERO Software didn’t start out to help small tradespeople in construction with a platform. They started out to fight the climate crisis. But in doing so, they stumbled on a way to help the whole business. Now, the company has closed a €40 million Series B financing round, and plans to expand […]

© 2024 TechCrunch. All rights reserved. For personal use only.

The founders of HERO Software didn’t start out to help small tradespeople in construction with a platform. They started out to fight the climate crisis. But in doing so, they stumbled on a way to help the whole business. Now, the company has closed a €40 million Series B financing round, and plans to expand
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]

Why Commonwealth Fusion Systems’ superconducting magnet sale is more than it seems

Fusion power may still be a few years away, but one startup is laying the groundwork for what it hopes will become a bustling sector of the economy.

© 2024 TechCrunch. All rights reserved. For personal use only.

Fusion power may still be a few years away, but one startup is laying the groundwork for what it hopes will become a bustling sector of the economy.
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]

Because machine-learning models can give false predictions, researchers often equip them with the ability to tell a user how confident they are about a certain decision. This is especially important in high-stake settings, such as when models are used to help identify disease in medical images or filter job applications.Because machine-learning models can give false predictions, researchers often equip them with the ability to tell a user how confident they are about a certain decision. This is especially important in high-stake settings, such as when models are used to help identify disease in medical images or filter job applications.Machine learning & AI[#item_full_content]

The element lithium is used widely in batteries because it results in long-lasting, stable energy storage. However, it’s a finite resource, so researchers are hard at work trying to identify alternate materials to use in battery production. Using the Canadian Light Source at the University of Saskatchewan, a team from McGill University has recently come up with a way to replace most of the lithium in batteries with sodium.The element lithium is used widely in batteries because it results in long-lasting, stable energy storage. However, it’s a finite resource, so researchers are hard at work trying to identify alternate materials to use in battery production. Using the Canadian Light Source at the University of Saskatchewan, a team from McGill University has recently come up with a way to replace most of the lithium in batteries with sodium.Energy & Green Tech[#item_full_content]

When it comes to artificial intelligence, appearances can be deceiving. The mystery surrounding the inner workings of large language models (LLMs) stems from their vast size, complex training methods, hard-to-predict behaviors, and elusive interpretability.When it comes to artificial intelligence, appearances can be deceiving. The mystery surrounding the inner workings of large language models (LLMs) stems from their vast size, complex training methods, hard-to-predict behaviors, and elusive interpretability.[#item_full_content]

When it comes to artificial intelligence, appearances can be deceiving. The mystery surrounding the inner workings of large language models (LLMs) stems from their vast size, complex training methods, hard-to-predict behaviors, and elusive interpretability.When it comes to artificial intelligence, appearances can be deceiving. The mystery surrounding the inner workings of large language models (LLMs) stems from their vast size, complex training methods, hard-to-predict behaviors, and elusive interpretability.Computer Sciences[#item_full_content]

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