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How is Machine Learning Leveraged in Photonic Design?

Photonic design involves developing optical components and systems that use light for computing, communications, and sensing. With the growing complexity of these systems, the adoption of machine learning has proven effective in modeling intricate structures and extracting valuable insights from extensive datasets.

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Applications of AI-Enhanced Raman Spectroscopy

Artificial intelligence approaches can help unlock the rapid diagnostic power of spectroscopies such as Raman spectroscopy. Here, we discuss examples of AI-enhanced Raman spectroscopy.

United-kingdom , British , Quardia-shutterstock , Intelligent-systems , Automation-industry-focus , Spectroscopy-reviews , General-practice , Raman-spectroscopy-reveals-abnormal-changes , Urine-composition , Prostate-cancer , Intelligent-diagnostic-model , Deep-learning

New Superconductor Claim Leaves Scientists Skeptical

Potentially groundbreaking research published on ArXiv has left many researchers doubtful. If true, it could usher in a whole new generation of technologies and would be one of the most astonishing discoveries in superconductor physics.

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Accelerating Surface Inspection with Machine Learning

Machine learning (ML) could offer a promising future for the accelerating of surface inspection and metrology techniques.

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CELUS: Using Deep Tech to Accelerate Electronic Engineering

In this interview, we speak with CELUS GmbH, a Munich-based company aiming to accelerate innovations in the electronic engineering industry through its cloud-based platform.

United-states , Munich , Bayern , Germany , Quardia-shutterstock , Megan-craig , Tobias-pohl , Technical-university-of-munich , Alexander-pohl , Engineering-director , Chief-executive-officer , Tobia-master

Machine Learning Framework Drives Search for Refractory High-Entropy Alloys with Better High-Temperature Yield Strength

By Surbhi Jain Nov 15 2022 Reviewed by Danielle Ellis, B.Sc.

Quardia-shutterstock , Surbhi-jainnov , Danielle-ellis , Surbhi-jain , Computational-materials , Materials-industry-focus , Image-credit ,

New Horizons Toward Supercapacitor Energy Devices

New work hopes to address this problem by effectively integrating silicene nanosheets into a high-voltage supercapacitor.

Quardia-shutterstock , Silicene-nanosheets , Energy-storage , Importance-of-novel-energy-storage-devices , Horizons-toward-supercapacitor-energy-devices , Two-dimensional-silicene-nanosheets , New-choice , Electrode-material , Image-credit , Novel-energy-storage ,

What is the Universal Chiplet Interconnect Express (UCIe) Standard?

This article discusses in detail the background and importance of the recently established Universal Chiplet Interconnect (UCIe) Standard for use in the semiconductor industry.

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The Role of Oxygen Impurities in Semiconductor Properties

A surprising new source of conductivity from oxygen atoms trapped inside has been noted by a research group probing the properties of a semiconductor integrated with a novel thin oxide film.

United-states , American , Quardia-shutterstock , Tien-lin-lee , Peter-sushko , Judith-gabel , Joe-ngai , Zihua-zhu , Bethany-matthews , Mark-bowden , Steven-spurgeon , Department-of-energy

Ransom-related DDoS attacks rise from the dead as attack vectors diversify

DDoS extortion is back…
ANALYSIS A growth in ransom-related DDoS (RDDoS) attacks has accompanied a growing sophistication and diversity in attack vectors over the last year, according to a range of security vendors quizzed by
The Daily Swig.
Types of distributed denial-of-service (DDoS) attacks can include volumetric, protocol-based, and application-based assaults. Many are slung from so-called botnets of compromised computers, mobiles, or IoT devices.
Means, motive, and opportunity
The most common motives for launching a DDoS and jamming an adversary/competitor’s web performance include extorting victims for financial gain or to serve as a decoy tactic for another cyber-attack.

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