ipXchange video interview of Niraj Mathur
Watch the video interview by ipXchange of Blumind's Niraj Mathur. You can also …
Using time series data from audio, vibration, or accelerometer sensors for determining preventative maintenance or impending failure of a system is a well-understood principle. However, implementation with limited local power, remote or harsh environments, slow or poor connectivity and robust form factor requirements make adding AI to industrial applications a challenge. Yet adding real-time localized AI decision-making can save significant unscheduled downtime and drive greater process efficiencies. For industrial edge AI, analog computing which draws inspiration from the evolution of brain power, is a compelling solution, providing ultra-low power, small physical form factor and real-time localized decision-making support via low latency inferencing. Blumind is the leader in all analog edge AI with its AMPL™ technology.
Watch the video interview by ipXchange of Blumind's Niraj Mathur. You can also …
Schedule a meeting with Blumind at CES in Las Vegas Jan 7-10 2025
Read the Tech Radar article on the roadmap to analog-first Gigabit-sized SLMs