MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

For advanced bonding schemes and panel operations, there is a high cost to discovering an interface issue late in the flow.

Formal Verification Techniques and Reliability Methods for RRAM-based Computing-in-Memory” was published by researchers at ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance mechanisms can be identified based on a pathogen’s genetics. However, the ...

Single-phase power factor correction (PFC) circuits—a kind of front-end AC/DC converters—are ubiquitous in a variety of ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...

Single-phase power factor correction (PFC) circuits—a kind of front-end AC/DC converters—are ubiquitous in a variety of consumer electronic devices, including laptop adapters, LED driver power ...

Siddhesh Pimpale engineers safer, more predictable high-voltage systems through system-level design and functional safety expertise.

While many organizations are experimenting with synthetic data, few are focusing on scalability and building AI-ready data ...

CoLab today announced it has joined the NVIDIA Inception program, NVIDIA's global ecosystem of AI innovators. As an NVIDIA Inception program member, CoLab will explore how NVIDIA technologies can ...