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Category: robotics/AI – Page 9

The rapid advancement of technologies like artificial intelligence (AI) and the Internet of Things (IoT) has heightened the demand for high-speed, energy-efficient memory devices. Traditional memory technologies often struggle to balance performance with power consumption.

Spintronic devices, which leverage electron spin rather than charge, present a promising alternative. In particular, TMD materials are attractive due to their unique electronic properties and potential for miniaturization.

Researchers have proposed the development of gate-controllable TMD spin valves to address these challenges. By integrating a gate mechanism, these devices can modulate spin transport properties, enabling precise control over memory operations. This approach aims to enhance tunneling magnetoresistance (TMR) ratios, improve spin current densities, and reduce during read and write processes. The study is published in the Journal of Alloys and Compounds.

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Chinese artificial intelligence startup DeepSeek’s latest AI model sparked a $1 trillion rout in US and European technology stocks, as investors questioned bloated valuations for some of America’s biggest companies.
DeepSeek’s latest AI model rose to the top of the Apple’s appstore charts over the weekend, presenting a visible challenge to costlier models like OpenAI and raising questions over the hundreds of billions in planned spending on the technology by the likes of Microsoft Corp., Meta Technologies Inc. and Alphabet Inc.
It also put a spotlight AI chip producer Nvidia Corp., whose shares soared ninefold in the past two years, making it the highest-valued company in the world. The Santa Clara, California-based firm slid more 10% in premarket trading Monday — a drop that would zap about $340 billion in market value if it were to hold in the cash session.
Nasdaq 100 futures tumbled as much as 5.2% in overnight trading before paring the loss to 3.9% as of 7:30 a.m. in New York. That marked the biggest intraday drop for the contracts since August. In Europe, tech stocks led market losses, with shares of chip equipment maker ASML Holding NV down as much as 12%. The Cboe Volatility Index, known as the VIX, surged to 21.5. The Nasdaq 100 and Europe’s Stoxx 600 technology sub-index were together set for a market capitalization wipeout of $1.2 trillion, if the losses hold.
Bloomberg Intelligence senior analyst Mandeep Singh provides analysis on Bloomberg Surveillance Radio.

#nvidia #nvda #msft #amzn #bitcoin #sofi #aapl #amd #qqq #goog #baba #pltr.
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Nvidia’s stock plummeted 18% due to investor concerns about Chinese AI startup DeepSeek, erasing a record $560 billion from its market capitalization.
The decline had a ripple effect on the market, causing the S&P 500 to fall as much as 2.3% and the Nasdaq 100 to tumble as much as 3.6%.
DeepSeek’s low-cost AI model has sparked concerns that US companies have overspent on AI development, and that the Chinese firm’s approach could disrupt the current AI business model. Gregory Allen, Director of the Wadhwani AI Center at the Center for Strategic and International Studies joins Balance of Power to discuss.
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A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making. The findings from Princeton neuroscientists may one day improve how brain circuits go awry in neurological disorders, such as Alzheimer’s, and could help artificial brains, like Alexa or self-driving car technology, more helpful.

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A team of researchers at Google’s DeepMind project, reports that its AlphaGeometry2 AI performed at a gold-medal level when tasked with solving problems that were given to high school students participating in the International Mathematical Olympiad (IMO) over the past 25 years. In their paper posted on the arXiv preprint server, the team gives an overview of AlphaGeometry2 and its scores when solving IMO problems.

Prior research has suggested that AI that can solve geometry problems could lead to more sophisticated apps because they require both a high level of reasoning ability and an ability to choose from possible steps in working toward a solution to a problem.

To that end, the team at DeepMind has been working on developing increasingly sophisticated geometry-solving apps. Its first iteration was released last January and was called AlphaGeometry; its second iteration is called AlphaGeometry2.

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Evolution is traditionally associated with a process of increasing complexity and gaining new genes. However, the explosion of the genomic era shows that gene loss and simplification is a much more frequent process in the evolution of species than previously thought, and may favor new biological adaptations that facilitate the survival of living organisms.

This evolutionary driver, which seems counter-intuitive—” less is more” in genetic terms—now reveals a surprising dimension that responds to the new evolutionary concept of “less, but more,” i.e., the phenomenon of massive gene losses followed by large expansions through gene duplications.

This is one of the main conclusions of an article published in the journal Molecular Biology and Evolution, led by a team from the Genetics Section of the Faculty of Biology and the Institute for Research on Biodiversity (IRBio) of the University of Barcelona, in which teams from the Okinawa Institute of Science and Technology (OIST) have also participated.

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