Analog data from a variety of sensors and other devices is a huge problem. Here are three approaches to overcoming the problems that big analog data can cause. Approach 1: Analyze at the Edge A lot of ...

PITTSBURGH--(BUSINESS WIRE)--Aspinity, the pioneer in analog machine learning chips, today launched the first member of its analogML family, the AML100, which is the industry’s first and only tiny ...

The world’s first analog machine learning chip has arrived, claims Aspinity, the upstart from Pittsburgh, Pennsylvania, commercializing an always-on technology that originated from research carried ...

As more sensors and actuators are added into electronic devices, pressure is growing to more seamlessly move data seamlessly back and forth between analog and digital circuitry. Analog and digital ...

Engineers have reached a theoretical limit for efficiently converting analog data into digital bits in an emerging computer technology. The future of computing may be analog. The digital design of our ...

Graphics processing units (GPUs), the chips on which most AI models run, are energy-hungry beasts. As a consequence of the accelerating incorporation of GPUs in data centers, AI will drive a 160% ...

Data that is recorded in a form that is similar to its original structure. Contrast with digital data. See analog. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction requires permission.

“Big Analog Data” is collected from measurements of vibration, RF signals, temperature, pressure, sound, image, light, magnetism, voltage, and so on. Challenges unique to Big Analog Data have provoked ...

Analog Devices thrives by bridging the analog and digital worlds, boasting a wide moat, deep expertise, and thousands of patents in customizable solutions. Agile hybrid manufacturing gives ADI ...