NVIDIA’s AI Podcast gives listeners the inside scoop on the ways AI is transforming nearly every industry. Since the show’s debut in 2016, it’s garnered more than 6 million listens across 200-plus episodes, covering how generative AI is used to power applications including assistive technology for the visually impaired, wildfire alert systems and the Roblox …
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Key predictions from data infrastructure industry experts and vendors to help enterprises tap the AI opportunity for growth in 2025.Read More
This smart temperature-control mattress cover helps you stay cooler, or cozier, to get a better night’s sleep.
Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited data. This can aid in the discovery of materials with desired properties, such as semiconductors.
There will be no single model that will rule the universe, neither next year nor next decade. Instead, the future of AI will be multi-model. Read More
The near future could see AI assistants that forecast and influence our decision-making at an early stage, and sell these developing “intentions” in real-time to companies that can meet the need—before we even realize we have made up our minds.
Foundation models will be brand DNA, hands-free will be redefined and we’ll hit the AI trust tipping point (among other developments).Read More
Showing speed and precision, one of Google’s latest experimental models, Exp-1206, shows potential to alleviate one of the most grueling aspects of any analyst’s job.Read More
You can get whole seconds back every morning by measuring your coffee beans in the Subminimal Subscale dosing cup.
The report The economic potential of generative AI: The next productivity frontier, published by McKinsey & Company, estimates that generative AI could add an equivalent of $2.6 trillion to $4.4 trillion in value to the global economy. The largest value will be added across four areas: customer operations, marketing and sales, software engineering, and R&D. …
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