InfoWorld

Why AI evals are the new necessity for building effective AI agents

Benchmarks measure what models can do. Interaction-layer evaluation determines whether users will trust what agents actually ...

Hirundo Uses NVIDIA NeMo Evaluator, CUDA, and GB200 NVL72 to Validate Breakthrough AI Safety Results Across Open-Source LLMs

NVIDIA NeMo Evaluator -- Model Diagnosis & Validation: Hirundo's diagnosis layer uses NeMo Evaluator to automatically benchmark LLMs before and after unlearning across safety and utility metrics, ...

Ultralytics Debuts Ultralytics Platform: The Definitive Way to Annotate, Train, and Deploy Vision AI

Ultralytics, the company behind the YOLO family of object detection models, today introduced Ultralytics Platform, a comprehensive end-to-end vision AI platform featuring powerful SAM-powered smart ...

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 ...
IEEE

Missing Value Treatments for Machine Learning-Based Misbehavior Detection Systems: Survey, Evaluation, and Challenges

Abstract: Misbehavior detection systems (MDS) play a crucial role in vehicular ad hoc networks (VANETs) to guarantee their secure operation. Most recent studies focus on applying machine learning ...
The Manila Times

2026 Data Scientist to Machine Learning Engineer Career Transition Guide Released - Build Production AI Systems by Interview Kickstart

Interview Kickstart Releases In-Depth Career Transitions Guide on Moving from Data Scientist to Machine Learning Engineer as ...
The Lancet

A predictive atlas of disease onset from retinal fundus photographs: a modelling study using data from population-based cohorts

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...
GitHub

Time Series Forecasting for Finance

├── src/ # Source code │ ├── data/ # Data handling and preprocessing │ ├── models/ # Forecasting models │ ├── evaluation/ # Model evaluation metrics │ ├── backtest/ # Backtesting framework │ └── utils ...
EurekAlert!

ETRI releases no-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...