AI

This post is cowritten with John Gilhuly from Arize AI. With Amazon Bedrock Agents, you can build and configure autonomous agents in your application. An agent helps your end-users complete actions based on organization data and user input. Agents orchestrate interactions between foundation models (FMs), data sources, software applications, and user conversations. In addition, agents […]

While the startup has won its “fair use” argument, it potentially faces billions of dollars in damages for allegedly pirating over 7 million books to build a digital library.

This post is co-written with Tom Koerick from SkillShow. The youth sports market was valued at $37.5 billion globally in 2022 and is projected to grow by 9.2% each year through 2030. Approximately 60 million young athletes participate in this market worldwide. SkillShow, a leader in youth sports video production, films over 300 events yearly

This post is co-written with Sergio Zavota and Amy Perring from NewDay. NewDay has a clear and defining purpose: to help people move forward with credit. NewDay provides around 4 million customers access to credit responsibly and delivers exceptional customer experiences, powered by their in-house technology system. NewDay’s contact center handles 2.5 million calls annually,

A partnership with the nonprofit Earth Fire Alliance and satellite manufacturer Muon Space is giving Google a better shot at tracking wildfires—and using AI to process all the data being collected.

Time series forecasting helps businesses predict future trends based on historical data patterns, whether it’s for sales projections, inventory management, or demand forecasting. Traditional approaches require extensive knowledge of statistical methods and data science methods to process raw time series data. Amazon SageMaker Canvas offers no-code solutions that simplify data wrangling, making time series forecasting

Modern enterprises are rich in data that spans multiple modalities—from text documents and PDFs to presentation slides, images, audio recordings, and more. Imagine asking an AI assistant about your company’s quarterly earnings call: the assistant should not only read the transcript but also “see” the charts in the presentation slides and “hear” the CEO’s remarks.

Unmanned vehicles are increasingly becoming essential weapons of war. But with a potential conflict with China looming large, Taiwan is scrambling to build a domestic drone industry from scratch.

A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in patient messages, like typos, extra white space, missing gender markers, or the use of uncertain, dramatic, and informal language, according to a study by MIT researchers. They found that making stylistic or grammatical changes to messages increases

Launched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led by MIT’s Office of Innovation and Strategy and administered by the MIT Stephen A. Schwarzman College of Computing, issued a call for proposals, inviting researchers from across MIT to submit ideas for innovative projects studying high-impact uses of