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    NEURAL NETWORKS

    MIT scientists scanned a larval zebrafish brain 200 times per second; ultraviolet light triggered electrical activity that spread across its brain

    A groundbreaking microscope developed by MIT enables ultra-fast imaging of neuronal activity in zebrafish brains, achieving scans at an impressive 200 frames per second. Although only 25% of neurons have shown responses thus far, this represents a pivotal stride in neuroscience. Researchers aspire to leverage this technology for insights into neuron interactions within networks, potentially broadening its application to more sophisticated animal models in future investigations.

    'Chernobyl-like' blackout soon: 'Godfather of AI' predicts crisis this year or next; Nobel laureate Geoffrey Hinton warns of risks to financial markets & power systems

    AI could trigger a 'Chernobyl-like' crisis this year or next, Nobel laureate Geoffrey Hinton has warned, cautioning that the technology could temporarily disrupt financial or power systems. Speaking to The Guardian, the 'godfather of AI' also criticised tech leaders Elon Musk, Mark Zuckerberg and Sam Altman for allegedly putting profits ahead of safety, while saying a catastrophe could still be averted.

    China's Baidu launches AI model simulating road environment for robotaxis

    Apollo World can generate "up to 100,000 km" (62,000 miles) of simulated driving daily, equivalent to about three years of real-world testing by a safety-driver-equipped autonomous vehicle, Baidu said. The system is capable of producing real-time multimodal data streams, such as camera and lidar observations, enabling self-driving systems to directly sense and navigate simulated environments.

    Meet Lukas Biewald, who lost his CEO role at his first startup; how an unpaid internship at OpenAI helped him build an AI company behind a karate studio that sold for $1.7 billion

    After reportedly leaving the CEO role, Lukas Biewald felt that he needed to strengthen his technical knowledge as deep learning advanced. He then spent time building robots, experimenting with TensorFlow in a Raspberry Pi and studying neural networks. He taught introductory deep-learning classes to thousands of engineers, which helped him understand the problems developers faced when building AI models.

    Anthropic IPO: What 12 AI terms should investors know before buying shares amid $16.3 billion revenue and an $80.7 billion loss?

    Anthropic's planned IPO could attract investors who want to benefit from the growth of artificial intelligence. But understanding the company's business will require more than looking at its revenue, losses and expected valuation. Its prospectus also uses technical terms that explain how its AI systems work, how the company trains its models and what risks it faces.

    Ctrl+Alt+Cure: AI codes next miracle drug
    The Economic Times
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