Four Lincoln Laboratory technologies win five 2023 R&D 100 awards
Inventions in medical imaging, aircrew scheduling, data security, and quantum networking are named among the year’s most innovative new products.
How VirtuSwap accelerates their pandas-based trading simulations with an Amazon SageMaker Studio custom container and AWS GPU instances | Amazon Web Services
This post is written in collaboration with Dima Zadorozhny and Fuad Babaev from VirtuSwap. VirtuSwap is a startup company developing innovative technology for decentralized exchange of assets on blockchains. VirtuSwap’s…
Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets | Amazon Web Services
Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. Financial organizations generate, collect, and use this data to…
Unlock ML insights using the Amazon SageMaker Feature Store Feature Processor | Amazon Web Services
Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction…
Introducing GPT-3.5 Turbo Instruct – precision AI for CyberSEO Pro – CyberSEO Pro
Unlock precision AI with OpenAI GPT-3.5 Turbo Instruct for CyberSEO Pro.
MIT scholars awarded seed grants to probe the social implications of generative AI
The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.
Orchestrate Ray-based machine learning workflows using Amazon SageMaker | Amazon Web Services
Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need for distributed ML, where multiple machines…
Designing resilient cities at Arup using Amazon SageMaker geospatial capabilities | Amazon Web Services
This post is co-authored with Richard Alexander and Mark Hallows from Arup. Arup is a global collective of designers, consultants, and experts dedicated to sustainable development. Data underpins Arup consultancy…
Multi-AI collaboration helps reasoning and factual accuracy in large language models
Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy.
Learn how to build and deploy tool-using LLM agents using AWS SageMaker JumpStart Foundation Models | Amazon Web Services
Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the…