Research & Benchmarks - Page 27 of 28
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.
Most project management tools are digital naggers. You click through menus forever. Linear, beloved by actual developers, now targets that friction with a new MCP server. Boss an AI around instead. Tell it to move a ticket. Assign a bug.
India just wrote a $1.2 billion check for its AI independence. The national IndiaAI Mission commits Rs 10,300 crore to domestic infrastructure.
Software can now fake a famous author's voice. That’s the claim. But researchers at Stony Brook University and Columbia Law School put it to a hard test.
Every business is confused. They have boardrooms full of people asking questions they can't define, and they expect data scientists to find the answers.
Consensus is trying to fix the most tedious part of a scientist's job: reading. Its new tool, Scholar Agent, uses GPT-5 to automate the slog of literature review. The platform promises to turn weeks of paper-chasing into minutes.
Everyone wants AI to be greener. Researcher Miranda Schwacke thinks the answer might be in our heads. Her work connects brain science to sustainable AI development. It's not about making chatbots faster.
AI was supposed to make the hard jobs easier. For data engineers, it seems to be doing the opposite. A new survey from MIT Technology Review Insights, done with Snowflake, polled 400 senior tech executives.
OpenAI is building a lab to do its homework. Announcing a new "OpenAI for Science" team led by former Instagram product VP Kevin Weil, the company has one directive: apply AI models to physics and math. This isn't about drafting emails.
OpenAI's new Sora video tool has developers talking, but not about the next viral dance. They're arguing it marks the end of social media as a human space. The platform feels different. Vine and TikTok were built on people.
Running machine learning experiments at scale is mostly an infrastructure problem. Models are easier to write than the plumbing to run them. Databricks sells a solution.
Nvidia has built a business out of making the biggest, most expensive computers for AI. Now it's making a smaller one.
The enterprise AI landscape is getting another heavyweight contender. Red Hat, known for its open-source infrastructure solutions, is stepping into the complex world of AI deployment with a strategic new platform.
The giant IT services firms are finally writing some real checks. They're putting $1.5 billion on Oracle's new data platform, a collective bet that most of their corporate clients will need help building AI on this specific pile of software and...
Oracle is pitching its cloud like a utility company. Its new Zettascale10 infrastructure promises multi-gigawatt capacity—a unit for power grids, not software.
Inside a tumor, billions of cells chatter in a chemical chaos that medicine struggles to decipher.
OpenAI is tired of paying Nvidia's bills. The company has started designing its own AI chips. This isn't a side project. It's a multi-year strategic partnership with semiconductor giant Broadcom.
The data center is no longer a room of humming servers, it’s a factory. And NVIDIA is engineering its blueprint from the ground up.
For decades, market research has been a costly gamble. Companies have shelled out fortunes for focus groups and surveys, only to get polite fiction in return. The data is slow. It's often useless, buried in spreadsheets.
Large datasets don’t have to break your workflow, or your machine. Memory errors creep in, processing drags to a crawl, and even straightforward operations feel like a grind.
Google is making a blunt grab for the next generation. Its target: students. From Lisbon to Nairobi, university students across Europe, the Middle East, and Africa are getting a full year of free access to Gemini 2.5 Pro. That's the top-tier model.
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