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Category: robotics/AI – Page 627

Some researchers see formal specifications as a way for autonomous systems to “explain themselves” to humans. But a new study finds that we aren’t understanding.

As autonomous systems and artificial intelligence become increasingly common in daily life, new methods are emerging to help humans check that these systems are behaving as expected. One method, called formal specifications, uses mathematical formulas that can be translated into natural-language expressions. Some researchers claim that this method can be used to spell out decisions an AI will make in a way that is interpretable to humans.

Research Findings on Interpretability.

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You requested a video exploring the future of medical records, and your wish is our command!

We’re aware that administrative tasks are often the bane of a physician’s work, contributing significantly to burnout. So, let’s embark on a journey together to discover how the future might unfold, and whether artificial intelligence has the potential to lighten this heavy burden.

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Connectomics, the ambitious field of study that seeks to map the intricate network of animal brains, is undergoing a growth spurt. Within the span of a decade, it has journeyed from its nascent stages to a discipline that is poised to (hopefully) unlock the enigmas of cognition and the physical underpinning of neuropathologies such as in Alzheimer’s disease.

At its forefront is the use of powerful electron microscopes, which researchers from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Samuel and Lichtman Labs of Harvard University bestowed with the analytical prowess of machine learning. Unlike traditional electron microscopy, the integrated AI serves as a “brain” that learns a specimen while acquiring the images, and intelligently focuses on the relevant pixels at nanoscale resolution similar to how animals inspect their worlds.

“SmartEM” assists connectomics in quickly examining and reconstructing the brain’s complex network of synapses and neurons with nanometer precision. Unlike traditional electron microscopy, its integrated AI opens new doors to understand the brain’s intricate architecture. “SmartEM: machine-learning guided electron microscopy” has been published on the pre-print server bioRxiv.

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Nvidia is on a tear.

But “there are no companies that are assured survival,” Huang warned Thursday at the Harvard Business Review’s Future of Business event.

Nvidia in its 30-year history has faced several existential threats, which helps explain why Huang recently told the Acquired podcast that “nobody in their right mind” would start a company. For example, it almost went bankrupt in 1995 after its first chip, the NV1, failed to attract customers. It had to lay off half its employees before the success of its third chip, the RIVA 128, saved it a few years later.

“We have the benefit of building the company from the ground up and having not-exaggerated circumstances of nearly going out of business a handful of times,” Huang said this week, as Observer reported. “We don’t have to pretend the company is always in peril. The company is always in peril, and we feel it.”

Continue reading “Nvidia CEO Jensen Huang says his AI powerhouse is ‘always in peril’ despite a

Nvidia is on a tear.

But “there are no companies that are assured survival,” Huang warned Thursday at the Harvard Business Review’s Future of Business event.

Nvidia in its 30-year history has faced several existential threats, which helps explain why Huang recently told the Acquired podcast that “nobody in their right mind” would start a company. For example, it almost went bankrupt in 1995 after its first chip, the NV1, failed to attract customers. It had to lay off half its employees before the success of its third chip, the RIVA 128, saved it a few years later.

“We have the benefit of building the company from the ground up and having not-exaggerated circumstances of nearly going out of business a handful of times,” Huang said this week, as Observer reported. “We don’t have to pretend the company is always in peril. The company is always in peril, and we feel it.”.1 trillion market cap: ‘We don’t have to pretend…we feel it’” | >

We spent 90 minutes with the pin and its founders at Humane’s SF offices.

A few hours after this morning’s big unveil, Humane opened its doors to a handful of press.

A few hours after this morning’s big unveil, Humane opened its doors to a handful of press. Located in a nondescript building in San Francisco’s SoMa neighborhood, the office is home to the startup’s hardware design teams.

An office next door houses Humane’s product engineers, while the electrical engineering team operates out of a third space directly across the street. The company also operates an office in New York, though the lion’s share of the 250-person staff are located here in San Francisco.

Continue reading “Humane’s AI Pin up close” | >

“This is the first project of its kind to incorporate a social component into a traffic control system.”

Vehicle pollution is a significant contributor to air pollution worldwide making it both a global and local problem.

A researcher is using machine learning to create traffic light management systems that are socially and environmentally conscious making them ideal at lessening emissions from vehicles.

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Kynikos Associates founder and legendary short seller Jim Chanos has highlighted the disparity between the public perception and actual performance of Tesla Inc. TSLA.

What Happened: In an interview with the Institute for New Economic Thinking, Chanos pointed out a common misbelief held by many Tesla admirers. He said the electric vehicle giant is seen as a multi-faceted entity — an AI firm, an alternative energy business, and a robotics organization.

This image, Chanos argues, is a result of Elon Musk’s compelling portrayal of Tesla as a future-focused company.

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