deep-learning

📝 Originally published (in Japanese) at forge.workstyle.tech . This is a record of designing voices from single-line captions, automatically creating a learning corpus, and passing all 12 role-specific voices (narrator/counselor/sales/presenter/operator/MC for both men and women) through full inspection. I wrote about the failures I encountered during approximately one month of actual work, divid…

Discover how OpenAI's GPT-6 Astra is revolutionizing AI by moving beyond text generation. This deep dive explores its groundbreaking computer-use capabilities, recurrent depth reasoning, benchmark dominance, and how it acts as an autonomous digital worker for enterprise workflows.

We run our team's AI stack on our own hardware. The weekly development log starts the week of January 19, 2026, the repository was created on February 3, and today it sits at roughly 2,100 commits under MIT. I want to write about four things that broke, because every one of them is in the public changelog and you can check my work. No war stories I can't back up. The setup A Mac mini runs the app…

Scientific Reports, Published online: 05 September 2026; doi:10.1038/s41598-026-69647-4 Integrating textual semantics and financial indicator graphs: an interpretable deep learning approach for financial risk classification

Scientific Reports, Published online: 05 September 2026; doi:10.1038/s41598-026-66695-8 Deep learning-based multi-class misbehavior classification in fog-enabled vehicular ad hoc networks

_International Journal of Education, Technology and Science_ 6 (3): 337–358. 2026Mathematical reasoning is a fundamental competency in contemporary mathematics education, yet many junior high school students continue to experience difficulties in constructing logical arguments, connecting mathematical concepts, and solving complex problems. This study examined changes in junior high school studen…

Running reasoning and agentic AI at the edge has been harder than it needs to be. Until recently, models capable of multi-step reasoning were too large to run...

Foundation models get most of the attention, but the infrastructure underneath them increasingly determines who wins the race to build and deploy them. That infrastructure question has stopped being purely technical. It now touches geopolitics, chip architecture, and where intelligence actually gets to run. Understanding how AI infrastructure powers the next generation of foundation models […]

Google DeepMind and Google Research have released WeatherNext 3, a new AI weather forecasting model that the company says will begin powering weather information across Search, Google Maps, and Gemini, while also being available to researchers on Google’s cloud platforms. According to senior staff engineer Samier Merchant, this marks the first time such core forecasting […]

Why proving modern AI on-chain forced cryptography to get architecture-aware, and what that means for anyone building AI agents on Ethereum. Every deep learning curriculum teaches roughly the same progression: perceptron, MLP, CNN, RNN/LSTM, attention, Transformer, ViT, CLIP. It's usually taught as a story about capability. Each generation gives models a better way to represent information, captu…

Facial Expression Recognition (FER) has emerged as an important affective phenotyping tool in computational psychiatry, providing objective measurements of facial expressivity associated with psychomotor abnormalities in psychiatric disorders. From the perspective of smart product design, deploying deep learning frameworks for longitudinal psychiatric monitoring requires balancing recognition acc…

A decade ago, when Nvidia CEO Jensen Huang was developing the world's first NVLink-enabled deep learning system, the DGX-1, the tech industry was deeply skeptical about the future of artificial intelligence (AI).

Scientific Reports, Published online: 04 September 2026; doi:10.1038/s41598-026-69617-w Estimation and detection of rotor mass imbalance of wind turbines using convolutional neural network

The rapid expansion of mussel raft aquaculture has increased the demand for accurate and scalable monitoring systems to support sustainable coastal management. Deep learning (DL) object detectors, particularly the YOLO family, enable automated extraction of aquaculture infrastructures from Very High-Resolution (VHR) satellite imagery. However, conventional detectors rely on horizontal bounding bo…

For a year now, the people complaining loudest about AI have been the chatbot and coding crowd: vanishing limits, silent model downgrades, a flat plan quietly behaving like a meter. This week the microphone passed to a different room. The people who make AI video — Runway, Sora, Kling, the churn of open models behind them — spent the week documenting their own version of the squeeze, and it turns…

Hi folks, this is No Saved DATA. I dedicate this post to describe some of the features I put in Neve to make it an expressive high-level language (close to Python/PyTorch syntax), while also allowing efficient low-level code. I am sharing this now, because I believe the language has already strongs traits that allow it to be extended to other problem domains. Current results: Close to Python/Sent…