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Category: robotics/AI – Page 762

Generative AI, in particular, is placing new demands on IT teams across nearly every industry. The GPUs required for generative AI are expensive and power-hungry, and you may need many. Aligning storage to keep those data-hungry GPUs fed requires adopting new technologies, such as NVIDIA’s GPUDirect, that enable applications to transfer data from primary storage directly into the GPU’s memory. The software stack looks unlike nearly anything else in enterprise IT. The list goes on and on.

Dell Technologies and NVIDIA are working together to reduce the complexity of building and deploying infrastructure for Generative AI. The two companies announced Project Helix earlier this year at Dell Technologies World, which Dell described as delivering full-stack solutions with technical expertise and pre-built tools based on Dell and NVIDIA infrastructure and software.

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Will they replace human cosmetics workers?

A report by CBS News.

The article outlined several AI firms that have entered the industry and shared their point of view on its progress.

A report by CBS News published on Tuesday highlighted how the global market for artificial intelligence (AI) in beauty and cosmetics is currently a multi-billion-dollar business that sees machines undertake tasks once reserved only for humans.

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It turns out robots have a ‘U-shaped’ effect on profits.

Researchers from the University of Cambridge have found that investment in robots can cause a firm’s profits to first decline before rising again, resulting in a so-called ‘U-shaped’ effect on profits.

This is according to a report by TechXplore published on Thursday.

The study was based on industry data from the UK and 24 other European countries between 1995 and 2017. The research found that low levels of adoptions coincided with negative profit margins however higher levels led to successful profits.

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The machines have been tested and found more than competent.

China will soon allow intelligent robotic systems and platforms to provide maintenance services for the nation’s Five-hundred-meter Aperture Spherical Radio Telescope (FAST), dubbed as the ‘China Sky Eye’ and known as the world’s largest single-dish radio telescope, the China Media Group (CMG)

The news was reported by CGTN after the robotic systems passed several tests ensuring they were ready for this lofty task.

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A new robotic headgear allows mice to move freely while being attached to heavy and cumbersome brain-recording machinery, allowing scientists to track their brain activity in motion, according to a new report by Spectrum published on Thursday. The development could have major implications in neuropathy and other sciences of the brain.

Under normal circumstances, researchers analyze brain activity in an awake mouse by fixing the animal’s head in a stiff unmovable position beneath a microscope. This however severely limits the mouse’s range of motion and therefore does not produce accurate results.

As Ted Abel, chair of neuroscience and pharmacology at the University of Iowa in Iowa City, who was not involved in the study, explained to Spectrum, this approach is not conducive to usable outcomes.

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Computational imaging holds the promise of revolutionizing optical imaging with its wide field of view and high-resolution capabilities. Through the joint reconstruction of amplitude and phase — a technique known as “coherent imaging or holographic imaging” — the throughput of an optical system can expand to billions of optically resolvable spots. This breakthrough empowers researchers to gain crucial insights into cellular and molecular structures, making a significant impact on biomedical research.

Despite the potential, existing large-scale coherent imaging techniques face challenges hindering their widespread clinical use. Many of these techniques require multiple scanning or modulation processes, resulting in long data collection times to achieve a high resolution and signal-to-noise ratio. This slows down imaging and limits its feasibility in clinical settings due to tradeoffs between speed, resolution, and quality.

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The crushing demand for AI has also revealed the limits of the global supply chain for powerful chips used to develop and field AI models.

The continuing chip crunch has affected businesses large and small, including some of the AI industry’s leading platforms and may not meaningfully improve for at least a year or more, according to industry analysts.

The latest sign of a potentially extended shortage in AI chips came in Microsoft’s annual report recently. The report identifies, for the first time, the availability of graphics processing units (GPUs) as a possible risk factor for investors.

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