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RAM Photonics Industrial Launches Mass Production of 2D Fiber Arrays for AI and DC

"RAM is proud to introduce the Medusa™ Array family of products to meet the growing photonic interface need in AI and DC infrastructure," said John Marciante, CEO of RAM Photonics. "Our automated manufacturing platform ensures unmatched precision and industry record yields, positioning RAM as a leader in high-volume fiber interconnects."

AI hardware 6month
Hong Kong FilMart 2025: Five Takeaways from Asia's Recharged Global Content Market

FilMart highlighted co-productions, AI in film, Asian animation, and ASEAN market growth, reaffirming Hong Kong's role as a global entertainment hub.

High-tech data center opens at Region 16 in partnership with Duos Edge AI, FiberLight

The $38 million fiber project connects 52 schools across the region, offering students and educators some of the fastest internet speeds available.

Education 6month
NETSOL launches Transcend AI Labs

In a statement, NETSOL said the initiative is designed to empower automotive and equipment original equipment manufacturers (OEMs), dealerships, and financiers with advanced AI so

Sun Tekstil's AI Investment to Transform the Fashion Industry

Sun Tekstil has made a groundbreaking partnership that will make waves in the fashion and textile industry. The company has invested in the U.S.-based software company Refabric (Mintgrams Technologies Inc.

Deep learning model boosts plasma predictions in nuclear fusion by 1,000 times

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning-based approach that significantly accelerates the computation of a nonlinear Fokker-Planck-Landau (FPL) collision operator for fusion plasma.

Deep Learning 7month
Deep Learning Model Amplifies Plasma Predictions 1,000x

Abstract The nonlinear collision operator consumes a significant amount of computation time in tokamak whole-volume modeling, and in current numerical

Deep Learning 7month
Deep-learning framework advances tissue analysis in spatial transcriptomics

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when studying how cells interact and respond to changes in their environment,

Deep Learning 7month