Time Series and Trend Analysis Challenge Inspired by Real World Datasets
See how different time series methods reveal the shifts, surges, and stabilization in inflation expectations.
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Understanding the nuances of human-like intelligence
What can we learn about human intelligence by studying how machines “think?” Can we better understand ourselves if we better understand the artificial intelligence systems that are becoming a more significant part of our everyday lives? These questions may be deeply philosophical, but for Phillip Isola, finding the answers is as much about computation as it is about cogitation. Isola, the newly tenured associate professor in the Department of Electrical Engineering and Computer Science (EECS), studies the fundamental […]
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Get an in-depth look at Gemini 3 with CEO Sundar Pichai.
Sundar Pichai sits down with Logan Kilpatrick to discuss Gemini 3 on the Google AI: Release Notes podcast.
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Differences between transformer-based AI and the new generation of AI models
I frequently refer to OpenAI and the likes as LLM 1.0, by contrast to our xLLM architecture that I present as LLM 2.0. Over time, I received a lot of questions. Here I address the main differentiators. First, xLLM is a no-Blackbox, secure, auditable, double-distilled agentic LLM/RAG for trustworthy Enterprise AI, using 10,000 fewer (multi-)tokens, no vector database but Python-native, fast nested hashes in its original version, and no transformer to generate the structured output to a prompt. […]
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Strengthening cyber resilience as AI capabilities advance
OpenAI is investing in stronger safeguards and defensive capabilities as AI models become more powerful in cybersecurity. We explain how we assess risk, limit misuse, and work with the security community to strengthen cyber resilience.
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Checking the quality of materials just got easier with a new AI tool
Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is helping with the former, with tools that comb through catalogs of materials to quickly tag promising candidates. But once a material is made, verifying its quality still involves scanning it with specialized instruments to validate its performance — an expensive and time-consuming step that can hold up the development and distribution of new […]
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A smarter way for large language models to think about hard problems
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common approaches that give LLMs this capability set a fixed computational budget for every problem, regardless of how complex it is. This means the LLM might waste computational resources on simpler questions or be unable to tackle intricate problems that require more reasoning. To address this, MIT researchers developed a smarter way to allocate […]
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Reading Research Papers in the Age of LLMs
How I keep up with papers with a mix of manual and AI-assisted reading The post Reading Research Papers in the Age of LLMs appeared first on Towards Data Science.
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Lenovo Might Unveil the Leaked Legion Pro Rollable Gaming Laptop At CES 2026
In January this year, Lenovo announced the world’s first rollable PC, the Lenovo ThinkBook Plus Gen 6. The company took the stage at CES 2025 to reveal it and later made it available to the general public in June. Although the launch price was set for $3499, it’s now down by $200 and available via the Lenovo Store. For those who don’t know, that laptop comes with a 14-inch OLED panel that stretches upward into a tall 16.7-inch […]
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From Transformers to Associative Memory, How Titans and MIRAS Rethink Long Context Modeling
What comes after Transformers? Google Research is proposing a new way to give sequence models usable long term memory with Titans and MIRAS, while keeping training parallel and inference close to linear. Titans is a concrete architecture that adds a deep neural memory to a Transformer style backbone. MIRAS is a general framework that views most modern sequence models as instances of online optimization over an associative memory. Why Titans and MIRAS? Standard Transformers use attention over a […]
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