Accurate stock trend forecasting is a central challenge in financial economics due to the highly nonlinear and interdependent nature of market dynamics. Traditional statistical and machine learning ...

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...

Fauna Bio, a biotechnology company pioneering the use of extreme mammal biology and comparative genomics to discover novel ...

A team of young engineers and a university student in Thessaloniki has developed an award-winning AI-driven system to transform how electric buses operate in the city. The project ...

Modern energy infrastructure is increasingly defined as cyber-physical systems where physical power distribution and digital communication are closely tied together. While this digitalization boosts ...

Why AI is becoming ldquo;native rdquo; to 5G/6G networks The evolution from 5G to 6G networks represents a dramatic leap in complexity that fundamentally challenges traditional network management ...

S&P Global today announced the completion of its acquisition of Enertel AI Corporation, a company specializing in AI and machine learning-driven short-term power price forecasting for North American ...

Cybersecurity has evolved from a secondary software concern to a core design requirement in connected medical devices. The rapid growth of the internet of medical things (IoMT) has expanded the attack ...

AI-driven material development and new additive manufacturing technology are accelerating new aluminum alloy, battery, and material processing innovations.

Data governance, security and management startup Bedrock Labs Inc. is deepening its integration with Snowflake Inc.’s AI Data Cloud after securing a strategic investment from the cloud data warehouse ...

Nvidia’s first new tool, NemoClaw, improves the safety and output quality of OpenClaw. OpenClaw is a popular open-source AI ...

Researchers developed DDINet, a deep learning model that predicts drug–drug interactions and their biological effects. The system performed well with unseen drugs and may improve safety in ...