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GTC 2025: The most important AI announcements
If you thought AI computing was already moving at breakneck speed, GTC 2025 just hit turbo mode. Nvidia unveiled game-ch...
Llama Nemotron: Nvidia’s answer to the AI reasoning boom
Nvidia has introduced a new set of open source Llama Nemotron reasoning models during its GTC event, aimed at enhancing ...
GR00T N1: Nvidia’s next leap in AI-powered robotics
Nvidia announced a suite of technologies to enhance humanoid robot development, including the Nvidia Isaac GR00T N1, the...
Nvidia reveals DGX Spark: The world’s smallest AI supercomputer
Nvidia unveiled its DGX Spark and DGX Station personal AI supercomputers at the GTC conference, designed for handling la...
Elon Musk Says Reports Are Useless—And Honestly, He’s Not Wrong
In a recent interview with Larry Kudlow, Elon Musk shared a moment of levity amid serious discussion about government inefficiency, cyber attacks, and wasteful spending. When faced with a litany of ch...
US SEC To Review Proposed Crypto Custody Rule Amid New Rulemaking Approach
The US Securities and Exchange Commission (SEC) acting chair revealed that the agency is reviewing its rulemaking process and will revisit a controversial rule on crypto custody requirements for inves...
Retrieval-augmented language model (REALM)
Retrieval-augmented language model (REALM) represents a significant advancement in artificial intelligence, particularly within the field of natural language processing (NLP). By effectively integrati...
Canonical schema
Canonical schema is a pivotal concept in the world of data management, enabling systems to communicate effectively despite their internal complexities. As organizations increasingly rely on diverse da...
Deep belief networks
Deep belief networks (DBNs) represent a fascinating convergence of neural network architectures that significantly enhance the ability of machines to learn from data. Developed by Geoffrey Hinton and ...
Machine learning pipeline
A machine learning pipeline serves as a vital tool that streamlines the development and deployment of machine learning models. This structured framework ensures that all necessary steps—from data pr...
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