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This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In an industry that doesn’t stand still, Stanford’s AI Index, an annual roundup of key results and trends, is a chance to take a breath. (It’s a marathon, not a s
The acquisition indicates a capability that OpenAI is building into ChatGPT: financial planning.
Most ReAct-style agents are silently wasting their retry budget on errors that can never succeed. In a 200-task benchmark, 90.8% of retries were spent on hallucinated tool calls — not model mistakes, but architectural flaws. This article shows why prompt tuning won’t fix it, and the three structural
Master method chaining, assign(), and pipe() to write cleaner, testable, production-ready Pandas code The post Write Pandas Like a Pro With Method Chaining Pipelines appeared first on Towards Data Science.
Why storing and retrieving data isn’t enough to build reliable AI memory systems The post Stop Treating AI Memory Like a Search Problem appeared first on Towards Data Science.
Anthropic was the star of the show at San Francisco's AI-centric conference.
The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.
These glasses are a step back from an ambitious plan that once called for Apple to launch a variety of mixed and augmented reality devices.
The report is particularly surprising since the Department of Defense recently declared Anthropic a supply-chain risk.
AI coding assistants need a persistent memory layer to overcome the statelessness of LLMs and improve code quality by systematically providing context across sessions. The post Why Every AI Coding Assistant Needs a Memory Layer appeared first on Towards Data Science.
A deep-dive and practical guide to cross-encoders, advanced techniques, and why your retrieval pipeline deserves a second pass. The post Advanced RAG Retrieval: Cross-Encoders & Reranking appeared first on Towards Data Science.
The OpenAI CEO's new blog post responds to both an apparent attack on his home and an in-depth New Yorker profile raising questions about his trustworthiness.
How depth estimation, foundation segmentation, and geometric fusion are converging into spatial intelligence The post How Does AI Learn to See in 3D and Understand Space? appeared first on Towards Data Science.
Can we reconstruct audio codes if we have audio for the Voxtral text-to-speech model? The post A Guide to Voice Cloning on Voxtral with a Missing Encoder appeared first on Towards Data Science.
We fitted the Ebbinghaus forgetting curve to 555,000 real fraud transactions and got R² = −0.31 — worse than a flat line. This result explains why calendar-based retraining fails in production and introduces a practical shock-detection approach that works in real systems. The post Why MLOps Retraini
Since September 2025, we have had Calendar-based Time Intelligence in Power BI and Fabric Tabular models. While this feature offers great possibilities, we must be aware of its pitfalls. Here are some of them. The post When Things Get Weird with Custom Calendars in Tabular Models appeared first on T
A step-by-step interactive guide to one of the most vexing areas of machine learning. The post Introduction to Reinforcement Learning Agents with the Unity Game Engine appeared first on Towards Data Science.
Next-generation AI assistants being developed in the Apple ecosystem and by chipmakers like Qualcomm, but early reports suggest they are being designed with limits in place. Tom’s Guide has described early versions of these assistants as capable of navigating apps, carrying out bookings, and managin
To protect enterprise margins, business leaders must invest in robust AI governance to securely manage AI infrastructure. When evaluating enterprise software adoption, a recurring pattern dictates how technology matures across industries. As Rob Thomas, SVP and CCO at IBM, recently outlined, softwar
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