Introducing the MIT Generative AI Impact Consortium
The consortium will bring researchers and industry together to focus on impact.
Accelerate video Q&A workflows using Amazon Bedrock Knowledge Bases, Amazon Transcribe, and thoughtful UX design
The solution presented in this post demonstrates a powerful pattern for accelerating video and audio review workflows while maintaining human oversight. By combining the power of AI models in Amazon…
User-friendly system can help developers build more efficient simulations and AI models
By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.
AI Writing Made Simple
If you're a genre fiction author looking to explore the world of AI writing tools, "AI Writing Made Simple" is the perfect workbook for you. Written by a bestselling romance…
Superagency
Superagency: What Could Possibly Go Right with Our AI Future is a thought-provoking book that delves into the potential benefits and pitfalls of artificial intelligence in our society. The author…
Harnessing Amazon Bedrock generative AI for resilient supply chain
By leveraging the generative AI capabilities and tooling of Amazon Bedrock, you can create an intelligent nerve center that connects diverse data sources, converts data into actionable insights, and creates…
With generative AI, MIT chemists quickly calculate 3D genomic structures
A new approach, which takes minutes rather than days, predicts how a specific DNA sequence will arrange itself in the cell nucleus.
Streamline grant proposal reviews using Amazon Bedrock
The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. The team developed an innovative solution to streamline grant proposal review and…
“AI Marketing Prompt Generator”
Are you looking to level up your marketing strategy with the power of AI? Look no further than "100 Powerful AI Marketing Prompts that Feel Like Cheating." This book is…
3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.