This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...

Moltbot stores memory as Markdown files and an SQLite database on the user’s machine. It auto-generates daily notes that log interactions and uses vector search to retrieve relevant context from past ...

From human-centric automation to smart manufacturing, Harsh Vardhan is guiding Apollo Tyres to an intelligent, AI-powered ...

Introduction Maternal and child mortality has markedly decreased worldwide over the past few decades. Despite this success, the decline remains unequal across countries and is overall insufficient to ...

bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...

A machine learning model predicts progression independent of relapse activity (PIRA) in early multiple sclerosis. Key predictors for PIRA include age at symptom onset, early disability scores, and ...

Abstract: Competency-based education (CBE) in higher education demands interpretable and scalable tools to monitor student progress. Current studies on CBE have used small samples in short evaluation ...

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

Discover rapid miner for advanced data analytics and machine learning. This powerful rapidminer software streamlines predictive modeling. The core strength of this rapidminer software lies in its ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...