Tag: computer science
-
Infographic – Key Health Care/A.I. Start-Ups
CB Insights compiled a list of start-up companies applying A.I. to health care, with its market map of these enterprises making up our weekend infographic.
-
Review – Deep Learning As Good As Live Expert Diagnostics
A review of recent research shows — with caveats — deep learning algorithms appear as effective as live human experts in accurately interpreting medical images.
-
A.I.-Powered Network to Identify, Build Molecules
A chemical engineering team is creating an open network for chemists and data scientists to share data for speeding the development of new molecules.
-
Infographic – Trust Varies in Facial Recognition Use
Americans overall express at least some trust about facial recognition use by law enforcement, but less confidence when used by businesses or employers.
-
Deep Learning Techniques Speed Drug Discovery
Researchers developed and demonstrated techniques with deep learning to discover new small molecule drugs ready for validation and lab animal tests in 21 days.
-
Math Model to Gauge Heart Attack Risk from Plaques
An academic-industry collaboration is creating a non-invasive technique to detect rupture-prone plaque build-ups in arteries and predict one’s risk of heart attack.
-
Infographic – A.I. Venture Deals Reach New Highs
The total amount of venture capital worldwide raised by artificial intelligence start-up companies set a record in the second quarter of 2019, reaching $7.4 billion.
-
Infographic – The Camera Evolves
Statista recently published a chart showing how the technology for photography developed and its evolution over the years.
-
A.I. Helps Visualize Emergency Social Media Data
A set of computational tools developed at Purdue University enables public safety agencies to monitor potentially catastrophic events in real time by analyzing text and images on social media.
-
Smart Fabrics Boost Wearable Sensor Connections
A new type of smart fabric can dramatically improve connectivity between wearable sensors and mobile devices compared to current wireless networks.