LiveWire S2 Del Mar Review: Fun, Fast, Limited Range
Harley-Davidson’s second all-electric motorcycle seduced WIRED’s editor in chief—but sadly can’t go the distance.
AI Supercomputer to Power $200 Million Oregon State University Innovation Complex
As a civil engineer, Scott Ashford used explosives to make the ground under Japan’s Sendai airport safer in an earthquake. Now, as the dean of the engineering college at Oregon State University, he’s at ground zero of another seismic event. In its biggest fundraising celebration in nearly a decade, Oregon State announced plans today for …
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The multi-billion-dollar potential of synthetic data
Synthetic data, already in use by tech giants, is an accelerator for ML/AI-based products to further penetrate every industry and sector.Read More
Google’s Next-Gen Video Chat Tech Is Ready for the Real World
Plus: iPhones are calling the cops from roller coasters, Polestar has a new electric SUV, and Meta makes another big bet on VR.
Elon Musk’s SpaceX Bails on Starlink Funding for Ukraine
Plus: Hackers hit the Mormon Church, Signal plans to ditch SMS for Android, and a Fat Bear election erupts in scandal.
23 Best STEM Toys for Kids (2022): Make Learning Fun
We found lots of math-filled and science-rich toys for tiny nerds to disassemble, set on fire, and then rebuild.
Why India’s Capital Is Teeming With Mosquitoes
City residents have long resorted to low-cost, do-it-yourself remedies that may be harmful to human health.
Best Google Pixel Phone (2022): Which Model to Buy, Cases and Accessories, Feature Drops
Here’s a guide to all the models—plus case recommendations and hidden software tricks to try.
UL2 20B: An Open Source Unified Language Learner
Posted by Yi Tay and Mostafa Dehghani, Research Scientists, Google Research, Brain Team Building models that understand and generate natural language well is one the grand goals of machine learning (ML) research and has a direct impact on building smart systems for everyday applications. Improving the quality of language models is a key target for …
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Run and optimize multi-model inference with Amazon SageMaker multi-model endpoints
Amazon SageMaker multi-model endpoint (MME) enables you to cost-effectively deploy and host multiple models in a single endpoint and then horizontally scale the endpoint to achieve scale. As illustrated in the following figure, this is an effective technique to implement multi-tenancy of models within your machine learning (ML) infrastructure. We have seen software as a …
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