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What’s Next in 3D Printing? A Conversation with HP’s Mary Baker

Innovation Spotlight

The IEEE Xplore Innovation Spotlight features articles on cutting-edge topics handpicked from the IEEE Xplore digital library of over 5 million technical documents.

What’s Next in 3D Printing? A Conversation with HP’s Mary Baker

June 25, 2020

3D Printing, 4IR

3D printers can print objects large and small, using a variety of materials. To learn more about advances in 3D printing, we talked to IEEE member Mary Baker, PhD, software designer at HP.

Mobile Robot for Large Scale 3D Printing at Construction Sites

June 3, 2020

3D Printing, Construction, 4IR

A new large-scale 3D printer could help speed use of 3D printing on construction sites, allowing builders to create custom concrete shapes with less waste and greater efficiency.

Using Edge Intelligence for Accurate Smoke and Fire Detection

May 20, 2020

Artificial Intelligence, 4IR

Smoke and fire detection systems have trouble seeing smoke in fog or snow, but this new system uses edge intelligence for more accurate fire detection.

Using Film to Advance Eyeblink Detection Technology

May 6, 2020

Biometrics, medical, 4IR

The way someone blinks their eyes can be a sign of a disease, fatigue or even deception. Researchers have discovered a new way of measuring eyeblinks.

New 3D Concrete Printer Could Be a Major Advancement in Construction

April 21, 2020

Construction, 4IR

A new 3D printing method could revolutionize the way additive manufacturing is used to print materials on construction sites.

Next Front for Computer Security: Machine Learning

April 13, 2020

Machine Learning, Cyber Security, 4IR

As machine learning security emerges, IEEE spoke with Gary McGraw, the “father of software security,” about the opportunities as the field expands.

A Mobile Diagnosis Device to Mitigate Pandemics and Infectious Diseases

March 17, 2020

medical, Mobile, 4IR

A handheld lab-on-a-chip device can diagnose an infectious disease quickly, with results posted to the cloud for real-time pandemic monitoring.

Detecting Device Theft in Real Time Through Walking Pattern Analysis

March 11, 2020

Privacy, Mobile

Most anti-theft measures for mobile devices alert users after the device is stolen. Now users could be alerted in real time based on the owner’s unique walking pattern.