We present Neural Signal Operated Intelligent Robots (NOIR), a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals. Through this interface, humans communicate their intended objects of interest and actions to the robots using electroencephalography (EEG). Our novel system demonstrates success in an expansive array of 20 challenging, everyday household activities, including cooking, cleaning, personal care, and entertainment. The effectiveness of the system is improved by its synergistic integration of robot learning algorithms, allowing for NOIR to adapt to individual users and predict their intentions. Our work enhances the way humans interact with robots, replacing traditional channels of interaction with direct, neural communication.

Amazon is reportedly investing millions in training Olympus.

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Stockcam/iStock.

The Information reported that Olympus will be Amazon’s answer to the AI leaps made by OpenAI and Microsoft in selling similar software to corporate customers. Another report by Reuters said that the company is investing millions in training Olympus, according to the two people familiar with the matter.

face_with_colon_three year 2022.

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Sozos and co-workers present and numerically evaluate photonic neuromorphic hardware using recurrent optical spectrum slicing for use in ultra-fast optical applications. The approach extends optical signal transmission reach to more than four-fold that of two state-of-the-art digital equalizers and reduces power consumption tenfold.

Stanford AI in Radiology overview 2018

Dr. Matthew Lungren.

Aimi.stanford.edu.

@mattlungrenMD

In particular, many have griped over their original work being used to train these AI models — a use they never opted into, and for which they’re not compensated.

But what if artists could “poison” their work with a tool that alters it so subtly that the human eye can’t tell, while wreaking havoc on AI systems that try to digest it?

That’s the idea behind a new tool called “Nightshade,” which its creators say does exactly that. As laid out in a yet-to-be-peer-reviewed paper spotted by MIT Technology Review, a team of researchers led by University of Chicago professor Ben Zhao built the system to generate prompt-specific “poison samples” that scramble the digital brains of image generators like Stable Diffusion, screwing up their outputs.

Researchers at the University of Barcelona have made a sweet discovery: Honeybees make great subjects when studying the dynamic of group behavior and decision-making.

In a recently released study, Professor M. Carmen Miguel, who has previously studied leadership activity among schooling fish and social interactions among flocks of birds, said a group of mini robots were trained to reach a consensus on tasks by mimicking processes displayed by bees.

The intricate behavior of bees has long been a subject of great interest among researchers. There are more than 4,000 species of the insect, and they have been around for more than 100 million years.