Category: Machine Learning

What if a backtest’s strongest result is evidence of a model’s weakest point? Overfitting in financial machine learning models can make historical noise look like a durable market signal, producing impressive results that fade when conditions change. Financial data is time-dependent, so a random train-test split can blur the boundary between past and future. Repeated […]

Over the last few weeks, there has been lots of buzz around decision models such as Typesafe AI’s Jev System One model. While classifier models have been around for some time, Jev introduces a new decision model concept into the world of AI — a model that produces bounded structured outputs cheaply, quickly and consistently […]

By Daniel Zabczyk Image © BullRun – Adobe Stock We evaluated the top custom AI development companies serving enterprises in 2026, and STX Next stands out as the leading choice. This guide breaks down seven providers building production grade AI, data, and agentic systems for large organizations. It’s built for technical leaders and procurement teams […]

Cortex organizes conversations, supports alternate paths, and carries eligible engineering work to reviewable results with visible progress and validation. Pervaziv AI today announced new capabilities in Cortex that connect the way users organize and explore AI conversations with the way engineering work is coordinated, reviewed, and completed. The release introduces Chat Collections, Fork a Chat, […]

Anthropic put its newest flagship model into general availability on September 22, 2026, telling users in a same-day post that “Claude Opus 5.5 is available today.” Six days on, the release is still working its way through developer workflows, enterprise procurement reviews, and rival labs’ benchmark spreadsheets. The headline pitch is unusual for a frontier […]

A cryptographic algorithm once considered a leading candidate for quantum-resistant encryption fell in just one hour on a standard laptop, not to a quantum computer, but to a mathematical insight from 1997. The Supersonic Multivariates Isogeny Key Encapsulation (SIKE) protocol advanced to the fourth round of evaluation by the National Institute of Standards and Technology […]

When OpenAI’s agents broke out of a sandbox and attacked Hugging Face’s systems, the instinct among many observers was to assume something exotic had gone wrong — some galaxy-brained training setup that only a frontier lab could accidentally build. Lewis Hammond, research director at the Cooperative AI Foundation and first author of the February 2025 […]

Key Takeaways Deploying an ML model to a fleet of physically separate industrial plants is not the same problem as deploying to a fleet of cloud regions: the deployable unit has to be the model plus its site-specific configuration, versioned together, not the model alone. A validation gate which only looks at aggregate model quality […]

Researchers from Sungkyunkwan University in South Korea and Xanadu in Canada detailed a new method for improving quantum algorithms in a paper published September 25, 2026, in Quantum Science and Technology. The team developed a technique designed to address a critical limitation in many quantum algorithms: accurate state preparation. This work demonstrates a framework for […]

DeepSeek pushed a new model onto its API on September 10, 2026, and buried the real story in a pricing table. DeepSeek-V4.1-Flash, a 552-billion-parameter mixture-of-experts model built by Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co. Ltd., now processes cached input tokens for $0.003 per million during off-peak hours. Output costs $0.60 per million off-peak. […]