
Four Lincoln Laboratory technologies win five 2023 R&D 100 awards
Recognition of four Lincoln Laboratory technologies winning five 2023 R&D 100 awards in medical imaging, aircrew scheduling, data security, and quantum networking.

Meet the 2023-24 Accenture Fellows
Introducing the 2023-24 graduate fellows of the MIT and Accenture Convergence Initiative for Industry and Technology.

Introducing the Support of Lateral Column Alias
Introducing the support of a new SQL feature in Apache Spark and Databricks: Lateral Column Alias (LCA).

OpenAI Red Teaming Network
Exploring the OpenAI Red Teaming Network and its capabilities

Unexpected Tools in the Databricks Marketplace to Supercharge Manufacturing Supply Chains
Discovering surprising tools in the Databricks Marketplace to optimize manufacturing supply chains

Unlock ML insights using the Amazon SageMaker Feature Store Feature Processor
Automate feature engineering for ML using Amazon SageMaker Feature Store Feature Processor

How VirtuSwap accelerates their pandas-based trading simulations with an Amazon SageMaker Studio custom container and AWS GPU instances
Accelerating pandas-based trading simulations using Amazon SageMaker Studio custom container and AWS GPU instances

Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets
Unlock new value in financial markets with Generative AI and multi-modal agents in AWS
Dear Duolingo: What does it feel like to be bilingual?
Exploring the experience and benefits of being bilingual

A catalogue of genetic mutations to help pinpoint the cause of diseases
A catalogue of 'missense' mutations created by AlphaMissense, an AI model, to assist researchers in understanding the impact of genetic mutations on human proteins and diseases.

MIT scholars awarded seed grants to probe the social implications of generative AI
Exploring the social implications of generative AI and its impact on various areas such as democracy, education, sustainability, and communication.

NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation
A blogpost discussing a differentiable rendering framework for joint geometry, material, and lighting estimation from multi-view images using neural incident and outgoing light fields.