Hello! We reached out to the mods to make sure this post was approved. (thank you u/SandCheezy/) Our company is an NVIDIA Preferred Cloud Service Provider. We own a wide range of data center grade GPUs from A5000 all the way up to H100s. We recently rolled out a new direct offering that is slightly …
Tired of using Picmonkey? Or finding it too expensive? Here are 10 alternative image editing and AI-powered image generation tools to help you get started.
Amazon Q Business recently added support for administrators to modify the default access control list (ACL) crawling feature for data source connectors. Amazon Q Business is a fully managed, AI powered assistant with enterprise-grade security and privacy features. It includes over 40 data source connectors that crawl and index documents. By default, Amazon Q Business …
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AI can help solve some of the world’s biggest challenges — whether climate change, cancer or national security — U.S. Secretary of Energy Jennifer Granholm emphasized today during her remarks at the AI for Science, Energy and Security session at the NVIDIA AI Summit, in Washington, D.C. Granholm went on to highlight the pivotal role …
Read more “AI Summit: US Energy Secretary Highlights AI’s Role in Science, Energy and Security”
LLMs can retrieve disparate facts from their context windows, but when it comes to reasoning over their context, they struggle badly.Read More
The increasingly outspoken tech mogul spoke at a Trump rally this weekend in one of the most contested battleground states.
A world of color and texture could soon become more accessible to people who are blind or have low vision, via new software that narrates what a camera records.
Find the best Design Pickle alternatives for bulk graphics and images. Content marketing moves fast, and these Design Pickle alternatives offer great solutions.
The award recognizes their work developing AlphaFold, a groundbreaking AI system that predicts the 3D structure of proteins from their amino acid sequences.
Calibration is a well-studied property of predictors which guarantees meaningful uncertainty estimates. Multicalibration is a related notion — originating in algorithmic fairness — which requires predictors to be simultaneously calibrated over a potentially complex and overlapping collection of protected subpopulations (such as groups defined by ethnicity, race, or income). We conduct the first comprehensive study …
Read more “When is Multicalibration Post-Processing Necessary?”