CSAIL (Computer Science and Artificial Intelligence Laboratory) is a research laboratory located at the Massachusetts Institute of Technology (MIT) in Cambridge, Massachusetts, USA. It is one of the largest and most prestigious computer science research centers in the world, with over 1,000 researchers, faculty members, and students.
CSAIL is dedicated to advancing the field of computer science and artificial intelligence through cutting-edge research, innovation, and education. It conducts research in a wide range of areas, including robotics, machine learning, natural language processing, computer vision, and cybersecurity.
On SciTechDaily.com, you can find the latest news and breakthroughs in computer science and artificial intelligence research conducted by CSAIL researchers, such as advancements in robotics, new breakthroughs in natural language processing, and the latest developments in machine learning.
Researchers from MIT’s CSAIL and Project CETI use machine learning to decode the “sperm whale phonetic alphabet,” revealing complex communication patterns, deepening our understanding of…
MIT CSAIL researchers have developed a new “consensus game” that elevates AI’s text comprehension and generation skills. MIT’s “consensus game” improves AI text generation using…
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain. To engineer proteins with useful functions, researchers…
MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning. Data is the new soil,…
By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended…
Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before. With 3D inkjet printing systems, engineers can fabricate hybrid…
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems. Anyone who has ever tried to pack a…
Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation. Generative AI, which is currently riding a crest of popular discourse,…
By analyzing epigenomic and gene expression changes that occur in Alzheimer’s disease, researchers identify cellular pathways that could become new drug targets. Alzheimer’s disease affects…
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft. Imagine you’re in an…
“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference…
SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments. Since the term “soft robotics”…
MIT researchers develop “FrameDiff,” a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving…
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development. Discovering new…
MIT’s new system analyzes the likelihood that an attacker could thwart a certain security scheme to steal secret information. Researchers have created a system to…
By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds. Huge libraries of drug compounds may hold…