IBM Takes AI Chip Research to Next Level
IBM is developing a processor to improve system efficiency by combining compute and memory in a single device overcoming what is known as the Von Neumann …
Topic: Deep Learning
Deep Learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled.
Jetson Nano 2GB Among Big Announcements at NVIDIA’s Virtual Conference
New NVIDIA offerings align with its commitment to creating an AI-driven world for all companies, enterprises, developers, and
United Imaging and MGH Announces Cutting Edge Collaboration in Medical AI
The joint work will develop artificial intelligence (AI) models to drive diagnosis and help to quantify diagnosis on a case-by-case basis.
Georgia State Deep Learning Framework To Explore Human Brain
The framework, called Nobrainer, can critique its own analysis and tell scientists when it is likely to be
Real-time Analytics News Roundup for Week Ending July 18
In the news this week: AI for high-dimensional data, AI-based health screening solutions to help businesses get back to work, and more.
Deep Learning Surrogate Models Outperform Simulators
Besides time and cost savings, surrogate models could lead to new scientific discoveries, owing to their ability to handle large volumes of high-dimensional …
Honeywell Aligns with SAP to Optimize Building Management
Interest in using AI to manage buildings is on the rise because it can help lower costs during an economic downturn and reduce carbon emissions.
Deep Learning Tool Spots Bugs In New Software Hours After Launch
Many organizations already pay users to inform them of day-zero bugs, this new tool could save them a lot of time and
MIT Scientists Attempt To Make Neural Networks More Efficient
MIT CSAIL has built a new framework, aimed at predicting how well neural networks perform at scale and what resources are
Deep Learning AI Accurately Identifies Sleep Disorders
Previously, the way to identify these disorders would be through manual scoring, which is time-consuming and can lead to inaccuracies.