Model quantization reduces the numerical precision used to store weights or perform calculations, such as converting 32-bit values to 8-bit or lower formats. Smaller representations can reduce memory, speed up inference, lower energy use, and enable models to run on phones, browsers, vehicles, or edge hardware. Quantization may be applied after training or included during training so the model learns to tolerate reduced precision. The efficiency gain can come with accuracy loss, especially for sensitive layers or unusual inputs. Hardware support, calibration data, activation ranges, and task requirements determine the best method. Every quantized version should be evaluated independently rather than assumed equivalent to its original model.
Nvidia CEO Jensen Huang clarified remarks suggesting China would win the AI race, saying the U.S. can stay ahead by innovating faster and empowering global developers.
OpenAI is laying the groundwork for an initial public offering that could value the company at up to $1 trillion, positioning it as one of the most anticipated tech listings in history.
Ark Invest CEO Cathie Wood says humanoid robots could become the most transformative opportunity in artificial intelligence, eclipsing sectors like autonomous transport and healthcare.
Elon Musk has unveiled Grokipedia – an AI-driven encyclopedia built on Grok that aims to offer factual, bias-free knowledge as an alternative to Wikipedia.
A study by the University of Maryland and Microsoft found that Polish outperforms English and other major languages in long-context AI prompts, surprising researchers.
Neobank Revolut has acquired Berlin-based AI travel agent start-up Swifty, integrating its conversational booking technology into Revolut’s loyalty and lifestyle platform for over 65 million users.
OpenAI has announced a strategic partnership with Broadcom to design and deploy 10 gigawatts of custom AI accelerators, expanding its hardware ecosystem beyond Nvidia and AMD.
Opera today introduced Neon, an AI-powered browser that can run tasks and navigate pages autonomously — aiming to shift web browsing from passive to “agentic.”
AI search startup Perplexity has reportedly raised $200 million at a $20 billion valuation, just two months after a $100 million round – signaling its rapid rise as a major rival to Google.