Research & Benchmarks - Page 30 of 41
Academic AI research, performance benchmarks, scientific breakthroughs, and peer-reviewed studies advancing artificial intelligence frontiers.
Academic AI research, performance benchmarks, scientific breakthroughs, and peer-reviewed studies advancing artificial intelligence frontiers.
Behind closed doors, 94% of attendees approved the least popular stance on AI resistance. That number alone should stop you cold. The dissenters? They didn’t matter. The partisanship that fractures public debate, Grok vs. Anthropic, “based” vs.
Forget Silicon Valley. The new front line for the AI boom is a frozen field in northern Sweden. Europe is running out of space and power for the vast server farms that make AI models work.
Your AI probably can't remember its own instructions. The prompts that tell a large language model how to behave have become massive, delicate documents. They're a tax on every query. Microsoft's answer is a training tweak called OPCD.
Wall Street is twitching. A single research note on artificial intelligence now triggers a sell-off; an offhand CEO comment about model training can spark a buying frenzy.
Riley Walz has been called the Jester of Silicon Valley, a title earned through irreverent, wildly inventive web experiments that often feel more like pranks than products. Now he’s joining OpenAI.
Biologists are drowning in cell data. They have machines that listen to a cell's RNA, others that photograph its chromatin. Each tells a different, partial story. The real work begins when you try to stitch those stories together.
Every tech company wants a smarter AI. A few are asking for a kinder one. The current pursuit of raw intelligence in machines is missing the point. A growing number of researchers argue the real goal should be building an AI that feels something.
The AI industry is eating itself, and the menu is full of irony. Researchers resign in protest, only for their creations to turn around and hire the very humans who built them.
Everyone wants faster AI. Almost nobody wants to rebuild their entire system to get it. Researchers have just shown a way to get both: three times faster inference by tweaking the model's own brain, not its house. The trick is a mask token.
Forget the hype. NVIDIA's Run:ai just ran a brutally simple test to see what happens when you actually use the thing: take 64 GPUs and throw users at them. Not a simulation. 10,200 people hit it at once. The result?
The numbers are stark. Google’s Gemini 3.1 Pro just logged a 94.3% score on the grueling GPQA Diamond benchmark, a scientific reasoning gauntlet that separates brittle models from genuinely capable ones.
Google just launched an AI Professional Certificate. The move is a direct response to a glaring disconnect: a new Ipsos study, commissioned by the company, found 70% of managers deem AI training critical, yet only 14% of workers have received it.
Google.org is writing checks. Big ones. Announced Thursday at the AI Impact Summit in New Delhi, a $30 million "Global AI for Government Innovation Impact Challenge" seeks public-private teams to rebuild civic services from the ground up.
The digital battlefield is no longer a place for silos and slow reactions. Bad actors move fast, exploiting every crack in the system. To stop them, we must move faster – and together.
Most AI stacks today are held together with duct tape and prayers. A vector database over here, a graph database over there, a relational engine for structured records, and a caching layer to paper over the cracks. The result?
The clash between Anthropic and the Pentagon is no longer a quiet war of memos. It’s escalating. And now, You.com’s co-founders Richard Socher and Bryan McCann, two of the most cited AI researchers alive, are being drawn directly into the fire.
Spotify’s top developers have not written a single line of code all year. That’s not a failure, it’s a strategy. CEO Gustav Soderstrom says the company is “all in” on AI, and the results are reshaping what engineering even means.
People are falling for artificial intelligence. They’re having real, sustained romances with it, and a new study in *Computers in Human Behavior Reports* confirms a predictable, human consequence: a deep fear of mockery.
The race for raw AI speed is blinding. Just look at OpenAI's new GPT-5.3-Codex-Spark, hitting over a thousand tokens per second on Cerebras hardware. That’s a direct challenge to Nvidia. But velocity is expensive.
The raw Excel file arrives like an unlabeled drawer in a cabinet of records: messy, inconsistent, and full of promise. One cell holds a dollar figure, another a string with commas and a trailing space.
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