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Recently, The New York Times, recognised as one of the world’s most-influential media outlets, faced the flak for the absence of women AI geniuses in their ‘Who’s Who in AI’ list. It is 2024, and amid the generative AI boom,…
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Google recently announced that BigQuery now supports vector search. The new functionality enables vector similarity search required by data and AI use cases such as semantic search, similarity detection, and retrieval-augmented generation (RAG) with a large language model (LLM). In…
The planned launch of what would have been Japan’s first private spacecraft to take off from a commercial launchpad was called off Saturday due to a ship that entered a hazard area downrange. Space One Co., a startup backed by…
While part 1 focused on the usage of the new NVIDIA cuTENSOR 2.0 CUDA math library, this post introduces a variety of usage modes beyond that, specifically usage from Python and Julia. We also demonstrate the performance of cuTENSOR based…
Elon Musk’s X plans to launch a television app for Amazon and Samsung smart televisions next week, Fortune reported, citing an unidentified person working at the social media company. Musk aims to encourage users to watch long videos on a…
OpenAI CEO and co-founder Sam Altman has been reinstated to the firm’s board of directors following an outside investigation into the turmoil that led the company to abruptly fire and rehire him in November. OpenAI said the investigation by the…
We’re excited to see all of our fellow AI enthusiasts, hardware experts, Deep Learning innovators, and Paperspace users at Nvidia GTC this year! This year we will be hosting a booth (booth 1329), a special happy hour with co-hosts Dell,…
In its investigation, which involved reviewing more than 30,000 documents and interviewing dozens of people, WilmerHale found that the four board members had accurately portrayed their reasoning when they fired Altman citing his lack of candor with the board. The…
Graph neural networks (GNNs) have revolutionized machine learning for graph-structured data. Unlike traditional neural networks, GNNs are good at capturing intricate relationships in graphs, powering applications from social networks to chemistry. They shine particularly in scenarios like node classification, where…