Data
Data

2023-24 Takeda Fellows: Advancing research at the intersection of AI and health

Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.

Generating opportunities with generative AI

Rama Ramakrishnan helps companies explore the promises and perils of large language models and other transformative AI technologies.

Accelerating AI tasks while preserving data security

The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.

New techniques efficiently accelerate sparse tensors for massive AI models

Complimentary approaches — “HighLight” and “Tailors and Swiftiles” — could boost the performance of demanding machine-learning tasks.

To excel at engineering design, generative AI must learn to innovate, study finds

AI models that prioritize similarity falter when asked to design something completely new.

AI copilot enhances human precision for safer aviation

Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.

AI copilot enhances human precision for safer aviation

Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.

A more effective experimental design for engineering a cell into a new state

By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.

From physics to generative AI: An AI model for advanced pattern generation

Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.

Meet the 2023-24 Accenture Fellows

The MIT and Accenture Convergence Initiative for Industry and Technology announces the 2023-24 graduate fellows.