As embedded and IoT systems grow more connected and critical, their security risks extend well beyond traditional software ...

As organizations scale from co-pilots to fully autonomous digital colleagues, the challenge is building smarter operating ...

The study advances a broader argument about the future of responsible AI. It contends that ethical AI cannot be achieved ...

Multispectral Intelligent Vision System with Embedded Low-Power Neural Computing is now nearing completion.

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

Left-shifting DFT, scalable tests from manufacturing to the field, enabling system-level tests for in-field debug.

DOF motion, ultra-compact footprint and high-speed photonics alignment algorithms are integrated directly into the controller ...

Nature has been a source of inspiration for the project. The model for machine vision has been the collaboration between the human retina, visual cortex, and prefrontal lobe for perception and ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Bioprocessing data is often scattered across electronic laboratory notebooks (ELNs), laboratory information management systems (LIMS), instruments, spreadsheets, and legacy systems that don’t talk to ...

Enroll in B.Tech CSE at DPGU School of Engineering & Technology, Pimpri-Pune. Industry-integrated curriculum with AI, Data ...