Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Qwen3-Coder-Next is a great model, and it's even better with Claude Code as a harness.

Here is Grok 4.20 analyzing the Macrohard emulated digital human business. xAI’s internal project — codenamed MacroHard (a ...

The financial cost of running LLMs is astonishing. In response, the industry has rushed toward FinOps for AI, the practice of meticulously tracking and optimizing every dollar spent on computation.

Photoionization mass spectrometry has transformed analytical chemistry, enabling complex chemical analysis and celebrating a century of scientific progress.

Abstract: In this letter, a predefined-time adaptive fuzzy trajectory tracking control based on an event-triggered quantization framework is proposed for a quadrotor with inertial uncertainty, ...

Abstract: Visual Mamba is an approach that extends the selective space state model, Mamba, to vision tasks. It processes image tokens sequentially in a fixed order, accumulating information to ...

This breakthrough technology is based on the first-principles approach, eliminating the traditional AI "black box illusion." The revolutionary aspect of Congzi AI lies in its unified core equation of ...

FriendliAI also offers a unique take on the current memory crisis hitting the industry, especially as inference becomes the dominant AI use case. As recently explored by SDxCentral, 2026 is tipped to ...

Listening to Dilla’s masterpiece 20 years later confirms its timelessness: in his experiments with tempo, in its ...

Every ChatGPT query, every AI agent action, every generated video is based on inference. Training a model is a one-time ...

[Interpreted] Thank you very much for your patience. It is now the scheduled time, so we will begin our Fujitsu technology strategy update. Thank you very much for taking the time to join us today. I ...