How to fine tune large language models on nvidia gpus with unsloth
Nvidia is highlighting how the unsloth framework, paired with the new nemotron 3 open models and dgx spark hardware, makes it easier to fine tune large language models and build agentic artificial intelligence workflows on local rtx systems.
Nvidia acquires SchedMD to expand open source Slurm for high performance computing and artificial intelligence
Nvidia has acquired SchedMD, the company behind the open source Slurm workload manager, and plans to keep it vendor neutral while deepening support for high performance computing and artificial intelligence users. The deal aims to strengthen open source infrastructure for large scale clusters and generative artificial intelligence workloads.
Artificial intelligence labs race to turn virtual materials into real-world breakthroughs
Startups like Lila Sciences, Periodic Labs, and Radical AI are betting that autonomous labs guided by artificial intelligence can finally turn decades of virtual materials predictions into real compounds with commercial impact, but the field is still waiting for a definitive breakthrough. Their challenge is to move beyond simulations and hype to deliver synthesized, tested materials that industry will actually adopt.
The great Artificial Intelligence hype correction of 2025
After a breakneck cycle of product launches and bold promises, the Artificial Intelligence industry is entering a more sober phase as stalled adoption, diminishing leaps in model performance, and shaky business models force a reset in expectations. Researchers, investors, and executives are now reassessing what large language models can and cannot do, and what kind of Artificial Intelligence future is realistically taking shape.
Artificial intelligence doomers stay the course despite hype backlash
A string of disappointments and bubble talk has emboldened artificial intelligence accelerationists, but prominent artificial intelligence safety advocates say their core concerns about artificial general intelligence risk remain intact, even as their timelines stretch.
Sam Altman’s role in shaping Artificial Intelligence hype
Sam Altman’s sweeping promises about superintelligent systems and techno-utopia have helped define how Silicon Valley and the public imagine the future of Artificial Intelligence, often ahead of what the technology can actually prove.
Developers weigh real productivity gains and hidden costs of Artificial Intelligence coding tools
Artificial Intelligence coding assistants are rapidly spreading across software teams, but evidence suggests their productivity benefits are uneven and may be offset by growing technical debt, security risks, and a weakening talent pipeline.
Formula e uses artificial intelligence to reinvent motorsport and fandom
Formula e and Infosys are using artificial intelligence, data, and remote production to reimagine electric racing, from faster cars and personalized fan experiences to lower-carbon logistics and more inclusive work practices.
2025 research fronts spotlight global trends and Artificial Intelligence integration
Two new 2025 research fronts reports from the Chinese Academy of Sciences and Clarivate map 128 priority research areas and show how deeply Artificial Intelligence is cutting across scientific disciplines, while also detailing the shifting balance of global research leadership.
Digital content safety and compliance in the era of generative artificial intelligence
As artificial intelligence regulations develop across regions, organizations are being pushed to reassess how their governance and compliance models apply to digital content and generative systems.