Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

Stock markets are essential for households for wealth creation and for firms for raising financial resources for capacity ...

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

Introduction Accurate preoperative assessment of lymph node metastasis (LNM) is a key determinant of treatment selection in early gastric cancer (EGC), particularly when choosing between endoscopic ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

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 ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

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

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver condition globally, with its management spanning ...

Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput ...