Category: Machine Learning

Today, we are excited to announce the next big advancement in our journey to faster scaling optimization: Amazon SageMaker AI Inference Container Image Cache. This results in up to 2x faster end-to-end latency for generated AI models during scale-out events. Over the years, Amazon SageMaker AI has continued to reduce latency across scaling stages: detecting […]

Researchers at the University of Auckland, led by W. Crump, have demonstrated a new two-color dipole trap that can hold atoms close to the surface of optical nanofibers. This advance represents an important step toward realizing more efficient quantum information transfer and long-range quantum communication networks. This trap facilitates stable manipulation of cold atoms near […]

Being faster is not strategic. Most companies’ AI strategies optimize for speed. That means reducing cycle times, automating workflows, and moving up the productivity curve. I feel like I’m making progress. But speed as a strategy has two problems, and most organizations aren’t addressing either. The first is competitiveness. When all competitors have access […]

Research shows that AI can rival kriging in estimating gold reserves. getty Search for “AI gold mining” and you’ll be flooded with promises. Increases discovery rate by 30%. Drilling costs are reduced by 40%. One vendor site claims a hit rate of nearly 75 percent, compared to the industry average of 0.5 percent. The pitches […]

science The hardware isn’t new, but a team of researchers at the University of California, Davis has developed a machine learning-based method that translates brain activity in ALS patients into sentences with 92% accuracy. Imagine being severely paralyzed, not only unable to move your arms or legs, but also unable to speak. For years, brain-computer […]

As large language models (LLMs) grow in size and complexity, maximizing inference throughput while minimizing latency remains a critical challenge for enterprise production deployments. Speculative decoding is one effective strategy to address this, utilizing a lightweight draft model to guess future tokens which are then verified by the target LLM in a single forward pass. While state-of-the-art frameworks like Extrapolation Algorithm for Greater […]

Introduction to AI chemists Artificial intelligence and large-scale language models offer promising ways to interpret vast amounts of data, but there are a number of caveats. In this C&EN column, we discuss what technology can do now, what it can do in the future, and what it shouldn’t do. All written by expert contributors. Drug […]

Artificial intelligence (AI) is no longer a futuristic concept confined to laboratories and science fiction movies. In 2026, AI will be one of the most transformative technologies in human history, reshaping industries, economies, workplaces, and daily life. From virtual assistants and chatbots to self-driving cars, medical diagnostics, and advanced robotics, AI is increasingly impacting the […]

Kolibri combines pre-built use cases, enterprise governance, and open orchestration to deliver production-ready AI in weeks Konecta, a global leader in customer experience (CX) and digital services, today announced the launch of Kolibri, an agent AI orchestration platform designed to help enterprises move from AI experimentation to production. Organizations across all industries are realizing the […]

As enterprises move from dashboards to autonomous agents on structured data, Trust3 AI centralizes access governance once and applies it natively across Unity Catalog, AWS Lake Formation, Snowflake, and all query engines. Trust3 AI announced the latest release of its centralized data access governance platform at Databricks Data + AI Summit, expanding support for federated […]