Wildlife imaging shows that AI models aren't as smart as we think

Using AI to identify wildlife reveals a potential "transferability crisis," researchers say. Marketing for AI imaging systems often suggests that models can easily tackle novel scenarios across ...

Computer Vision Image Software Market Set to Hit USD 52.49 Billion by 2035, Driven by AI-Powered Visual Intelligence and Automation | Report by SNS Insider

The Computer Vision Image Software Market size was valued at USD 14.72 billion in 2025 and is expected to reach USD 52.49 billion by 2035, expanding at a CAGR of 13.56% over the forecast period of ...
IEEE

Autonomous Deployment of Aerial Base Station Without Network-Side Assistance in Emergency Scenarios Based on Multi-Agent Deep Reinforcement Learning

Abstract: Aerial base station (AeBS) is a promising technology for providing wireless coverage to ground user equipment. Traditional methods of optimizing AeBS networks often rely on pre-known ...

Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

OpenAI reaches deal to deploy AI models on U.S. Department of War classified network

Feb 27 (Reuters) - OpenAI CEO Sam Altman said on Friday it has reached an agreement with the U.S. Department of War to deploy ...
The Manila Times

Unisound U1-OCR: The First Industrial-Grade Document Intelligence Foundation Model Ushering in the OCR 3.0 Era

Unisound Unveils U1-OCR: The First Industrial-Grade Document Intelligence Model, Ushering in OCR 3.0 Era ...
IEEE

A Deep Learning Model for Marine Mammal Call Classification

Abstract: The classification of marine mammal calls is of enormous significance for the protection of marine mammals. Acoustic methods are the most effective tools for studying and monitoring marine ...