Author: Advanced AI Editor

If you are interested in building your very own local deep research AI assistant, you might be interested in Google’s Gemma 3 AI models. They represent a significant advancement in artificial intelligence, offering a compact yet robust solution tailored for local deployment. Derived from the larger Gemini series, these models combine high performance with a strong emphasis on privacy and accessibility. Featuring multimodal capabilities, support for 140 languages, and the ability to generate structured outputs, Gemma 3 is engineered to meet diverse AI research assistant and productivity demands. These models are open source and optimized for local use, allowing you…

One pressing question at the artificial-intelligence (AI) summit in Paris this week was this: is Mistral AI’s assistant a cat, or a chat? Called Le Chat and developed by a French startup as a competitor to ChatGPT, it launched as a smartphone app on February 6th. To the English speaker, Le Chat looks like a French twist on AI chat, which it conducts in English (and other languages). Yet at the jamboree President Emmanuel Macron plugged it using a soft “sh”, rendering Le Chat distinctly feline. Arthur Mensch, Mistral’s 32-year-old boss, says his baby is indeed four-legged. Look carefully at…

The job search notice posted on Tuesday said candidates are expected to help build a “next-generation intelligent product experience” based on large language model (LLM) technology, according to its official WeChat account. LLM is the technology underpinning generative AI services like ChatGPT and DeepSeek’s eponymous chatbot app.This marks the first time that DeepSeek, which was established by tech entrepreneur Liang Wenfeng in 2023, has published job openings for product manager, product design and visual design. The Hangzhou-based firm has largely focused on fundamental AI model research.The recruitment drive appears to indicate that DeepSeek is evolving into proper corporate entity.The company…

What just happened? Microsoft has introduced BitNet b1.58 2B4T, a new type of large language model engineered for exceptional efficiency. Unlike conventional AI models that rely on 16- or 32-bit floating-point numbers to represent each weight, BitNet uses only three discrete values: -1, 0, or +1. This approach, known as ternary quantization, allows each weight to be stored in just 1.58 bits. The result is a model that dramatically reduces memory usage and can run far more easily on standard hardware, without requiring the high-end GPUs typically needed for large-scale AI. The BitNet b1.58 2B4T model was developed by Microsoft’s…

NVIDIA today said it is working with manufacturing partners to design and build factories that will produce NVIDIA AI supercomputers — i.e., “AI factories” — entirely in the United States. Together with manufacturing partners, the company has commissioned more than a million square feet of manufacturing space to build and test NVIDIA Blackwell chips in Arizona and AI supercomputers in Texas. NVIDIA said that within four years, it plans to produce up to half a trillion dollars worth of AI infrastructure in the U.S. through partnerships with TSMC, Foxconn, Wistron, Amkor and SPIL. These companies “are deepening their partnership with…

A high-profile legal case has unearthed a trove of internal Meta communications, and one particular document has caught the eye of some AI researchers.This reveals new insights into how models are built and could influence who gets to share in the spoils of this new technology.Buried in these court filings is a description of how Meta researchers used a process called ablation to identify which data helped improve the company’s Llama AI models.Ablation is a medical technique that purposely destroys tissue to improve things like brain function. In AI, it involves removing parts of a system to study how those…

ChatGPT went viral in late 2022, changing the tech world. Generative AI became the top priority for every tech company, and that’s how we ended up with “smart” fridges with built-in AI. Artificial intelligence is being built into everything, sometimes for the hype alone, with products like ChatGPT, Claude, and Gemini having come a long way since late 2022.As soon as it became clear that genAI would reshape technology, likely leading to advanced AI systems that can do everything humans can do but better and faster, we started seeing worries that AI would negatively impact society and doom scenarios where…

Google DeepMind CEO Demis Hassabis has warned that society is not ready for human-level artificial intelligence (AI), popularly referred to as Artificial General Intelligence (AGI). In an interview with Time, Mr Hassabis was quizzed about what keeps him up at night, to which he talked about AGI, which was in the final steps of becoming reality.The 2024 Nobel Prize in Chemistry winner said AI systems capable of human-level cognitive abilities were only five to ten years away.”For me, it’s this question of international standards and cooperation and also not just between countries, but also between companies and researchers as we…

Ziff Davis, the digital publisher behind tech sites like Mashable, PCMag and Lifehacker, sued OpenAI on Thursday, joining a wave of media companies accusing the artificial intelligence giant of stealing its content.Ziff Davis is one of the largest publishers in the United States, with more than 45 sites globally that together attract an average of 292 million visitors per month, and is among the biggest media companies pressing a claim against OpenAI.(The New York Times has sued OpenAI and its partner, Microsoft, claiming copyright infringement of news content related to A.I. systems. The two companies have denied the suit’s claims.)In…

arXiv:2504.16635v1 Announce Type: new Abstract: In an environment of increasingly volatile financial markets, the accurate estimation of risk remains a major challenge. Traditional econometric models, such as GARCH and its variants, are based on assumptions that are often too rigid to adapt to the complexity of the current market dynamics. To overcome these limitations, we propose a hybrid framework for Value-at-Risk (VaR) estimation, combining GARCH volatility models with deep reinforcement learning. Our approach incorporates directional market forecasting using the Double Deep Q-Network (DDQN) model, treating the task as an imbalanced classification problem. This architecture enables the dynamic adjustment of risk-level…