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With all the buzz about generative AI and a rumored Apple-OpenAI partnership announcement at WWDC, can Siri finally move from punchline to essential tool?

NVIDIA’s AI operating system, accelerated computing, and generative AI technologies are revolutionizing the computing industry and have the potential to transform various industries and aspects of everyday life Questions to inspire discussion What is NVIDIA’s new AI chip? —NVIDIA’s new AI chip, the H100, is a powerful technology that is revolutionizing computing and dominating the industry, enabling faster and more efficient tasks in various industries.

Researchers were able to successfully hack into more than half their test websites using autonomous teams of GPT-4 bots, co-ordinating their efforts and spawning new bots at will. And this was using previously-unknown, real-world ‘zero day’ exploits.

Tesla will not launch a refreshed Model Y this year, chief executive Elon Musk said in a post on social media X on Saturday.

Applied in this way, it’s not just generative AI—this is transformational AI. It goes beyond accelerating productivity; it accelerates innovation by sparking new business strategies and revamping existing operations, paving the way for a new era of autonomous enterprise.

Keep in mind that not all Large Language Models (LLMs) can be tailored for genuine business innovation. Most models are generalists that are trained on public information found on the internet and are not experts on your particular brand of doing business. However, techniques like Retrieval Augmented Generation (RAG) allow for the augmentation of general LLMs with industry-specific and company-specific data, enabling them to adapt to anyone’s requirements without extensive and expensive training.

We are still in the nascent stages of advanced AI adoption. Most companies are grappling with the basics—such as implementation, security and governance. However, forward-thinking organizations are already looking ahead. By reimagining the application of generative AI, they are laying the groundwork for businesses to reinvent themselves, ushering in an era where innovation knows no bounds.

They are becoming more capable, easier to program and better at explaining themselves.

Wang, J., Zuo, L. & Cordente Martínez, C. Basketball technique action recognition using 3D convolutional neural networks. Sci Rep 14, 13,156 (2024). https://doi.org/10.1038/s41598-024-63621-8

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NYSOFA is expanding a program that gives robot animals to lonely, older New Yorkers.

A machine-learning program helped design cheaper superconductive magnets.