Qualcomm

Today, AI algorithms are primarily run at large data centers-- in the cloud. For this intelligence to be used at the edge, data must be transmitted to the cloud, analyzed there, and the results transmitted back to the field of operation, such as a mobile phone, medical implant or autonomous vehicle.

Tracking and quickly diagnosing COVID-19 infections, working from home and telemedicine recently came into sharp focus as technology executives and other subject matter experts from microelectronics heavyweights recently gathered for the first-ever virtual SEMI CTO Forum to explore how the...

For medtech applications to flourish, sensors need a supporting infrastructure that translates the data they harvest into actionable insights, says Qualcomm Life director of business development Gene Dantsker, who will speak about the future of digital healthcare in the Medtech program at SEMICON...

What’s next for smarter, more connected electronics manufacturing - Part 3 The fast-maturing infrastructure now enabling analysis of exponentially larger data volumes brings the microelectronics industry to an inflection point, where the winning companies will be the first to master the use of...

With artificial intelligence (AI) rapidly evolving, look for applications like voice recognition and image recognition to get more efficient, more affordable, and far more common in a variety of products over the next few years. This growth in applications will drive demand for new architectures...

What’s next for smarter, more connected electronics manufacturing - Part 1The fast-maturing infrastructure now enabling applications for big data and artificial intelligence means disruptive change not just at individual companies but also in data connections among companies across the...