Astera Labs raises $150M for chips that deliver AI in the cloud
Astera Labs provides chips for connecting AI systems in the cloud, and today it has raised $150 million at a $3.15 billion valuation.Read More
Nvidia enters the text-to-image battle with eDiff-I, takes on DALL-E, Imagen
Nvidia’s eDiff-I text-to-image model is a next-gen generative AI content creation tool that uses a new method of text-to-image synthesis.Read More
Here’s How Bad a Twitter Mega-Breach Would Be
Elon Musk laid off half the staff, and mass resignations seem likely. If nobody’s there to protect the fort, what’s the worst that could happen?
The Director of ‘Pentiment’ Wants You to Know How His Characters Ate
When Josh Sawyer created his video game about 16th-century Bavaria, he set out to capture the feeling of that world, right down to the food on the table.
Frank Green’s 3-in-1 Is the Only Cup You Need
Is this the ideal reusable cup? We think so. A clever lid, drinking straw, sensible size, and insulation make for a heady caffeine-fueled combo.
12 Best Black Friday Deals on Google Hardware (2022): Pixel 7, Pixel Watch, Nest Cam
The sale has started early, and you can nab a brand-new Pixel 7 or Pixel Watch at a discount.
The Twitter Bubble Let Democrats Defy Political Gravity
The midterm elections showed that the far-right’s manufactured narrative about trans kids doomed the GOP when they made it policy.
Shock to the system: Using electricity to find materials that can ‘learn’
Researchers used electrical pulses to watch nickel oxide undergo two responses, habituation and sensitization, bolstering the case for brain-inspired computing.
Mixture-of-Experts with Expert Choice Routing
Posted by Yanqi Zhou, Research Scientist, Google Research Brain Team The capacity of a neural network to absorb information is limited by the number of its parameters, and as a consequence, finding more effective ways to increase model parameters has become a trend in deep learning research. Mixture-of-experts (MoE), a type of conditional computation where …
Build a cross-account MLOps workflow using the Amazon SageMaker model registry
A well-designed CI/CD pipeline is essential to scale any software development workflow effectively. When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. At AWS, we’re continuing to innovate to simplify the MLOps workflow. In this post, we discuss some …
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