Category: Machine Learning

Matej Zaharia, co-founder and CTO of Databricks, received the 2025 ACM Computing Award for his “visionary development of distributed data systems and computing infrastructure that has enabled large-scale machine learning, analytics, and AI on a global scale.” The ACM Computing Prize, funded by a gift from Infosys Ltd and awarded with a […]

Data drift occurs when the statistical characteristics of a machine learning (ML) model’s input data change over time, ultimately reducing the accuracy of its predictions. Cybersecurity professionals who rely on ML for tasks such as malware detection and network threat analysis are aware that undetected data drift can create vulnerabilities. Models trained on old attack […]

Six of the world’s most advanced manufacturing hubs are located in Singapore, making it the highest concentration of such facilities in Southeast Asia. These facilities span sectors from life sciences equipment and consumer goods to semiconductors and are critical manufacturing nodes for leading companies such as Agilent, Coca-Cola, HP, Infineon, Micron, and, new in September […]

buzz ■ TechCrunch releases evergreen AI terminology guide covering LLM, hallucinations, and essential AI terminology ■ This glossary addresses the proliferation of vocabulary as AI adoption accelerates across consumer and enterprise markets. ■ As technical concepts of AI enter the mainstream conversation, educational resources like this fill a critical gap ■ This guide serves as […]

This concludes our series on models of the world. In the Opinion section, we dive into one of my favorite new topics: Harness Engineering. This week on AI, we have to take a deep dive into that mythical thesis. New models weren’t the only AI announced this week. These were three different answers to the […]

This article was first published in Digital Edge, The Edge Malaysia Weekly from April 13, 2026 to April 19, 2026. Smartphones are set to evolve from tools we operate manually to intelligent systems that can anticipate our needs and act on our behalf. This capability is powered by agentic artificial intelligence (AI), which allows systems […]

Artificial intelligence is a deep and convoluted world. The scientists who work in this field often rely on jargon and lingo to explain what they’re working on. As a result, we frequently have to use those technical terms in our coverage of the artificial intelligence industry. That’s why we thought it would be helpful to […]

Research area Given that Yuxian served as a key guard city under Xuanfu, which was one of the major strongholds of the Great Wall’s “Nine Frontier Defense Garrisons”, and considering its unique topographic structure and strategic pattern, this study focuses primarily on the natural geographical characteristics of Yuxian and their relationship with the defense system. […]

At Uber, we train massive deep learning models to power our marketplace and core services. As these models grow in complexity, the infrastructure required to train them becomes a significant cost and performance factor. Specifically, maximizing the utilization of our high-performance GPUs during training, without sacrificing reproducibility, is a constant engineering challenge. Recently, one of […]

In a breakthrough at the intersection of neurology and artificial intelligence, researchers have published a machine learning-based methodology to classify Parkinson’s disease patients at high risk of falls. The study, recently published in NPJ Parkinson’s Disease, led by Kim, M., Kim, S., Chung, M. and colleagues, presents a technologically sophisticated approach that combines clinical data […]