Google releases Gemini 3.1 Pro
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Google DeepMind, Alphabet Inc.’s artificial intelligence research arm, today announced the rollout of Gemini 2.5 Deep Think, a new creative problem-solving AI model. The company stated the model is capable of addressing complex problems by considering ...
What if the toughest problems humanity faces—those that stump our brightest minds and stretch the limits of human ingenuity—could be tackled by a single, purpose-built system? Enter Gemini Deep Think, an advanced artificial intelligence model designed ...
Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, nuclear physicists at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility analyze the aftermath of ...
Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.
Karthik Sj, General Manager, AI at LogicMonitor. Built & Scaled multiple 0-1 AI products across public, PE and VC backed companies. At 3 a.m., an IT team scrambles to contain a system outage. Alerts flood in from monitoring tools, engineers sift through ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets. Their framework, LIMI (Less Is More for Intelligent ...
When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or passages from books) and what you might call “reasoning ...
AI is often described as a gamechanger in health care. But the real challenge isn’t just adopting the technology—it’s choosing the right problems to solve. Many early AI pilots in health care focused on administrative or financial “back office ...
The biggest bottleneck for engineering leaders isn’t writing code, but waiting for validation — especially across time zones. AI eliminates this bottleneck by testing code the moment it’s written, allowing teams to release new features up to one day ...