An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...

The review explains that 3D bioprinting provides solutions by allowing precise placement of cells, biomaterials, and bioactive molecules. Extrusion-based printing accommodates a wide range of ...

Recently, Tianjin Yingjie Technology Development Co., Ltd. announced the application for a patent titled "An Optimization Method for Multi-Robot Collaborative Task Scheduling Based on Graph Neural ...

That is particularly important in enterprise AI where organisations seek to meld the power of AI and ML to corporate systems.

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

Prysm Capital led the investment with contributions from more than a half-dozen other backers. Google LLC’s AI Futures fund, ...

With artificial intelligence (AI) becoming an omnipresent focus of innovation in the healthcare sector, it should come as no ...

F5 Inc. today announced plans to acquire CalypsoAI Inc., a startup that helps enterprises protect their artificial ...

The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior ...

Arm's answer to the NPU hype was to skip it entirely, instead focusing on improving AI targeted at the CPU and letting ...

As we delve deeper into the realm of artificial intelligence (AI), we find ourselves pondering more and more about its ...