The transformative power of artificial intelligence (AI) is bringing about major changes in the worlds of business and cybersecurity.
Source: Forbes.
#artificialintelligence #cybersecurity #Business
Category: robotics/AI – Page 78
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Human brain organoids (“mini-brains”) are being grown in labs around the world. They’re being fed neurotransmitters, competing with AI to solve non-linear equations, and going to space to study the effects of microgravity. This video reviews three preprints, preliminary reports of new scientific studies. (My AI voice caught a cold this week.)
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Preprints:
- Brain Organoid Computing for Artificial Intelligence (Cai et al.) https://www.biorxiv.org/content/10.1101/2023.02.28.530502v1.full.
- Modulation of neuronal activity in cortical organoids with bioelectronic delivery of ions and neurotransmitters (Park et al.) https://www.biorxiv.org/content/10.1101/2023.06.10.544416v1.full.
Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in the world. This ability, known as “relational learning,” is widely regarded as critical for cognition and intelligence, as learned relationships are thought to allow humans and animals to navigate new situations.
Researchers at ML Collective in San Francisco and Columbia University have conducted a study aimed at understanding the biological basis of relational learning by using a particular type of brain-inspired artificial neural network. Their work, published in Nature Neuroscience, sheds new light on the processes in the brain that could underpin relational learning in humans and other organisms.
“While I was visiting Columbia University, I met my co-author Kenneth Kay and we talked about his research,” Thomas Miconi, co-author of the paper, told Medical Xpress.
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 power consumption during read and write processes. The study is published in the Journal of Alloys and Compounds.
A study showed that chatbots alone outperformed doctors when making nuanced clinical decisions, but when supported by artificial intelligence, doctors performed as well as the chatbots.
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.
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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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Khan Academy’s new AI tutor, Khanmigo, has the potential to revolutionize education for students and teachers alike.
Sam Altman, OpenAI’s CEO and co-founder, responded that he would not accept and offered to buy X instead.
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.