AI

Novel method detects microbial contamination in cell cultures

Researchers from the Critical Analytics for Manufacturing Personalized-Medicine (CAMP) interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, in collaboration with MIT, A*STAR Skin Research Labs, and the National University of Singapore, have developed a novel method that can quickly and automatically detect and monitor microbial contamination in

Novel method detects microbial contamination in cell cultures Read More »

Artificial intelligence enhances air mobility planning

Every day, hundreds of chat messages flow between pilots, crew, and controllers of the Air Mobility Command’s 618th Air Operations Center (AOC). These controllers direct a thousand-wide fleet of aircraft, juggling variables to determine which routes to fly, how much time fueling or loading supplies will take, or who can fly those missions. Their mission

Artificial intelligence enhances air mobility planning Read More »

Designing a new way to optimize complex coordinated systems

Coordinating complicated interactive systems, whether it’s the different modes of transportation in a city or the various components that must work together to make an effective and efficient robot, is an increasingly important subject for software designers to tackle. Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple

Designing a new way to optimize complex coordinated systems Read More »

Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Enterprise data by its very nature spans diverse data domains, such as security, finance, product, and HR. Data across these domains is often maintained across disparate data environments (such as Amazon Aurora, Oracle, and Teradata), with each managing hundreds or perhaps thousands

Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale Read More »

AWS Field Experience reduced cost and delivered low latency and high performance with Amazon Nova Lite foundation model

AWS Field Experience (AFX) empowers Amazon Web Services (AWS) sales teams with generative AI solutions built on Amazon Bedrock, improving how AWS sellers and customers interact. The AFX team uses AI to automate tasks and provide intelligent insights and recommendations, streamlining workflows for both customer-facing roles and internal support functions. Their approach emphasizes operational efficiency

AWS Field Experience reduced cost and delivered low latency and high performance with Amazon Nova Lite foundation model Read More »

Combine keyword and semantic search for text and images using Amazon Bedrock and Amazon OpenSearch Service

Customers today expect to find products quickly and efficiently through intuitive search functionality. A seamless search journey not only enhances the overall user experience, but also directly impacts key business metrics such as conversion rates, average order value, and customer loyalty. According to a McKinsey study, 78% of consumers are more likely to make repeat

Combine keyword and semantic search for text and images using Amazon Bedrock and Amazon OpenSearch Service Read More »