Research states the global data annotation tool market is projected to surpass $14 billion by 2034, with autonomous vehicles contributing to the increasing demand Why multi-sensor labeling across ...

What Enterprise AV Teams. Need to Know <li /> Research states the global data annotation tool market is projected to surpass $14 billion by 2034, with autonomous vehicles contributing to the inc ...

Strategic data selection and curation practices significantly reduce annotation costs and drive development productivity.

A new suite of tools and services address need for high-quality domain-specific datasets and human feedback pipelines ...

Perplexity launched ‘Personal Computer,’ an AI agent that runs on M4 Mac mini servers and integrates local applications with enhanced security features. According to Macworld, this follows the trend ...

The Russian state-sponsored APT28 threat group is using a custom variant of the open-source Covenant post-exploitation framework for long-term espionage operations. Researchers at cybersecurity ...

VisioFirm v1.2 can now support RT-DETR from ultralytics. We corrected some related to YOLOv5 pre-annotation as well as Windows OS related custom path for those using custom models. For Unsual Object ...

OpenAI Group PBC today launched a new large language model that it says is more adept at automating work tasks than its earlier algorithms. GPT-5.4 is available in ChatGPT, the Codex programming tool ...

Starting this week, Perplexity subscribers will have a new agentic tool at their disposal. Perplexity Computer, in the company’s words, “unifies every current AI capability into a single system.” More ...

Matt is an associate editorial director and award-winning content creation leader. He is a regular contributor to the CDW Tech Magazines and frequently writes about data analytics, software, storage ...

Ecological interactions, such as predation, are fundamental events that underlie the flow and distribution of energy through food webs. Yet, directly measuring interaction rates in nature and how they ...

Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. Existing deep learning models for defining pathology from clinical imaging data rely ...