A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization.

New review in iOptics demonstrates how AI is overcoming key challenges in metasurface design, enabling advanced applications in compact optics and computational imaging.

The novel multicore architectures of SoCs for machine learning (ML) and artificial intelligence (AI) applications are expected to deliver huge improvements in power efficiency. However, chip ...

Optimization of multiphysics analyses results in faster time to market and lower design risk for electronic systems AI-driven optimization quickly and efficiently explores design space and produces ...

Power is a ubiquitous concern, and it is impossible to optimize a system’s energy consumption without considering the system as a whole. Tremendous strides have been made in the optimization of a ...

Designing for lower power has become a critical pre-requisite for a chip's technical and commercial success. The challenge of designing chips with optimum energy density and power consumption ...

System-on-chip designs integrate functions as diverse as wireless communications, MP3, digital imaging and video playback. SoC devices are essential technology enablers in multifunction consumer ...

Recently, Brian Bailey organized a round table that resulted in a two-part article called Supporting CPUs Plus FPGAs. The experts discussed the evolving reality of systems design based on FPGAs and ...

However, their development from unit-cell design to system integration faces challenges. A new review article published in iOptics reveals how artificial intelligence (AI) is providing solutions for ...