eu.36kr

Build the next-generation LLM inference engine oriented to Agentic reasoning

This in-depth guide systematically unveils the full technical roadmap of TokenSpeed, spanning every critical phase from ...

Running MACaQ on an M4 with 16GB RAM: Estimated 29 minutes just for finishing. Standard IQ4_XS takes 77 seconds

The Huawei research team has released the quantization tool "MACaQ" as open source. On r/LocalLLaMA, it has become a hot ...

Giving Coordinates to Words: The World of LLMs Revealed Through Embedding

Introduction: How does AI handle language?My AI studies, which I started in November, have been progressing little by ...
shattered.io

GPU vs TPU vs NPU: 4 AI Chip Camps Compared [2026]

The GPU vs TPU question got more complicated on November 9, 2026, when Google announced two new TPU variants, the TPU 8tx and ...
BIOENGINEER

New Method Turns High-Variability Data Into Parameter Distributions Without Inverting Models

Researchers introduced Eulerian Parameter Inference, a change-of-variables method that calibrates simulation models to highly ...
quantinuum

Reimei Powers Up to Help Japan Lead the Next Era of Discovery

RIKEN and Quantinuum have upgraded the Reimei quantum computer to Quantinuum’s System Model H2, bringing quantum advantage ...
BIOENGINEER

Brain Deformation and Mechanical Strain Mapped in Spontaneous Intracranial Hypotension Patients

Researchers using advanced image registration have mapped quantifiable mechanical strain and tissue deformation across fronto ...
HackerNoon

AI Training Environments That Evolve to Target Each Agent’s Weaknesses

Google's EnvHarness and EnvRigger reshape static environments around an agent's diagnosed flaws, beating domain-specific ...
Security Boulevard

3 Ways to Reduce Token Consumption When Using LLMs

As large language models become more important for companies, the overall cost of enterprise models is skyrocketing. An inefficient call from an employee might not seem too dangerous, but multiply ...