Recent advances allow imaging of neurons inside freely moving animals. However, to decode circuit activity, these imaged neurons must be computationally identified and tracked. This becomes particularly challenging when the brain itself moves and deforms inside an organism’s flexible body, e.g., in a worm. Until now, the scientific community has lacked the tools to address the problem.

Now, a team of scientists from EPFL and Harvard have developed a pioneering AI method to track neurons inside moving and deforming animals. The study, now published in Nature Methods, was led by Sahand Jamal Rahi at EPFL’s School of Basic Sciences.

The new method is based on a convolutional neural network (CNN), which is a type of AI that has been trained to recognize and understand patterns in images. This involves a process called “convolution,” which looks at small parts of the picture—like edges, colors, or shapes—at a time and then combines all that information together to make sense of it and to identify objects or patterns.

Meta’s chief scientist sees the current state of the AI industry as an “ongoing war”, claiming that NVIDIA’s CEO Jensen Huang is supplying the weapons for it.

Meta’s Chief Scientist Believes NVIDIA is Fueling “AI Developments” However, It is Far From Human-Level Intelligence

This coverage sort of gives a one-sided perspective of what professionals like Yann perceive about the AI industry, and his comments are fairly interesting, considering that he sees the current state of artificial intelligence as far from resembling “human” characteristics.

The app helps people who are blind or low vision scan documents and currency and can describe their surroundings.

Microsoft is expanding its Seeing AI app to Android, the company said Monday.

Artificial intelligence may never reach its full potential without a body to interact with the physical world. Roboticist Josh Bongard says that the push for “embodied AI” is suggesting a rethink of what it means to design intelligent robots.

By Edd Gent

The “bot development platform” will be launched as a public beta by the end of the month, according to an internal memo seen by the Post.

The move aligns with the company’s new strategic vision to “explore new generative AI products and how they can integrate with the existing ones”, the companywide notice said.

The social media giant has already been working on its own text-to-image generator similar to Midjourney, according to a person familiar with the matter.

Pundits who confidently state that generative artificial intelligence (AI) like ChatGPT can never replace human writers now have to rethink that position.

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An MIT study showed human subjects rated AI-generated content as better than that created by professional writers.