Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Companies investing in AI initiatives succeed by focusing on real business value, strong data readiness, and securing employee buy in across teams.

QINGDAO, SHANDONG, CHINA, January 19, 2026 /EINPresswire.com/ -- The landscape of environmental monitoring and ...

Why Are Machine Identities Essential for Data Security in the Cloud? Where cloud environments have become the backbone of modern enterprises, securing data requires more than just human oversight.

OpenAI is shifting resources away from long-term research to focus on improving ChatGPT and its core language models.

The talent landscape is changing faster than ever. What once relied on intuition, manual screening, and recruiter networks is now being reshaped by data, intelligence, and automation. For HR ...

In effect, memory becomes a record of the agent's reasoning process, where any prior node may be recalled to inform future ...

Why Are Non-Human Identities Crucial for Cloud Security? Does your organization fully understand the importance of Non-Human Identities (NHIs) in cybersecurity? With a crucial component of cloud ...

The timing is critical. The Take It Down Act, which Hutchins lobbied for during the current and previous administrations, goes into effect in May. It's the first federal law criminalizing image-based ...