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

AMD is hiring a Senior AI/ML Lead in Hyderabad to lead the design, development, deployment, and optimization of AI/ML ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

EEG-based machine learning predicted SSRI treatment response in depression with high accuracy. Learn how brain signals could ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

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 ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

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