Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

Shreyaa Raghavan's journey into solving some of the world's toughest challenges started with a simple love for puzzles. By ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

NVIDIA is one of the biggest names in AI, responsible for creating the chips and hardware that power it. Now, NVIDIA’s Deep ...

MIT researchers developed an automated system that optimizes deep-learning models by leveraging both sparsity and symmetry in ...

This self-paced course is part of Harvard's extensive range of free online programs, which include topics such as computer science, data science ... intelligence, machine learning, and databases ...

This beginner-friendly course introduces programming through Scratch, a visual programming language developed at MIT ... databases, machine learning, data science, and Python programming ...

Machine learning is bringing us closer to a Babel ... The key is a process called parallel data mining, which finds instances when the sound in a video or audio matches a subtitle in another ...

A groundbreaking AI compiler from MIT, SySTeC, slashes computational ... and a principal researcher in the Computer Science and Artificial Intelligence Laboratory (CSAIL). In machine learning, data ...

Antimicrobial resistance is a growing health crisis that could lead to millions of deaths by 2050, according to the World ...

to release a large-scale dataset that we hope results in more interdisciplinary research in data science and machine learning ...