New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...

Mistral launches Forge to help enterprises build their own AI models

New platform enables organizations to train AI models on proprietary data, but analysts say adoption may be limited in the near term.
News-Medical.Net

Math-based model helps optimize treatment for chronic eczema

Anyone with a chronic illness understands the struggle of living with a disease that is deeply unpredictable. Many such illnesses are characterized by long periods of remission broken up by sudden, ...
Analytics Insight

Top 10 MATLAB Courses to Master in 2026

MATLAB courses explain programming, simulations, and data analysis used in engineering and research work.Online platforms and ...
presseagentur.com

AI, Rust and C/C++ for Automotive Innovations: HighTec Demonstrates Multi-Architecture, Multi-Language Development Platform

As vehicle architectures evolve toward centralized and software-defined systems, automotive developers require flexible toolchains that support heterogeneous hardware platforms, modern programming ...
GitHub

Fara-7B: An Efficient Agentic Model for Computer Use

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...
IEEE

Development of a Compact Tactile Sensor Using a Pinhole RGB Camera

Abstract: Miniaturized vision-based tactile sensors (VBTSs) are essential for compact and high-resolution surface perception in constrained environments. However, conventional lens-based imaging ...
IEEE

Deep Learning Model Development Using a Super-Resolution Approach for Age and Gender Recognition in Low-Resolution Facial Images

Abstract: This study evaluates the effectiveness of using super resolution (SR) techniques as a preprocessing step to improve age and gender recognition from severely low resolution (LR) facial images ...
techxplore

AI energy use: New tools show which model consumes the most power, and why

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an open-source software and online leaderboard developed at the University of ...
Frontiers

Risk assessment of drug-associated miscarriage using XGBoost and SHAP explainability: a real-world pharmacovigilance analysis based on the FAERS database

Miscarriage is a common and serious adverse pregnancy outcome. Assessing drug-associated miscarriage risk is essential for medication safety in pregnancy. Using the FDA Adverse Event Reporting System ...
TechCrunch

Sam Altman would like to remind you that humans use a lot of energy, too

OpenAI CEO Sam Altman addressed concerns about AI’s environmental impact this week while speaking at an event hosted by The Indian Express. For one thing, Altman — who was in India for a major AI ...