Diffractive networks enable optical information transfer through random and unknown diffusers

The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...
inews.co.ukOpinion

Rachel Reeves’s cash ISA plan is terrible – buying my first flat proved it

To prepare for this, I’m doing lots of things that will not be allowed from April 2027. Having held most of my savings in ...
JD Supra

IP Diligence in the Age of AI: Why Standard Review Is No Longer Enough

IP diligence comes in many forms—and in today’s environment, it demands more than ever before. Whether the context is a financing round, a strategic partnership, or a full acquisition, the ...
The Straits Times

Fresh grads need to build at least two years of internship experience, soft skills in AI economy: Panel

SINGAPORE – Companies here are now hiring fresh graduates with at least two years of internship experience as AI tools automate entry-level roles, said panellists, urging job seekers to cultivate ...
GitHub

UDMT: Unsupervised transfer learning enables multi-animal tracking without training annotation

🚩2026/06/19: Version Update Summary: 1. Added `File > Add Video...` to add new videos to an existing project 2. Improved support for low-frame-rate videos by normalizing FPS values before frame-based ...
The Straits Times

Scam victims lose $2.9m in less than 3 weeks in Feb after fraudsters pose as MAS, MinLaw officers

SINGAPORE – At least $2.9 million has been lost in February so far to a scam variant in which victims were duped into handing over valuables such as gold bars, jewellery and luxury watches to ...
IEEE

Network Data Based Transfer Learning Failure Prediction Agent Pre-Trained Using Digital Twin

Abstract: This paper describes the use of Transfer Learning (TL) using experimental data and a Machine Learning (ML) model pre-trained with a Digital Twin (DT) for the prediction of amplifier failures ...
Frontiers

Automatic classification of ligneous leaf diseases via hierarchical vision transformer and transfer learning

Identification of leaf diseases plays an important role in the growing process of different types of plants. Current studies focusing on the detection and categorization of leaf diseases have achieved ...
C&EN

Evaluating the Use of Graph Neural Networks and Transfer Learning for Oral Bioavailability Prediction

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
IEEE

Bandwidth-Scalable Digital Predistortion of Active Phased Array Using Transfer Learning Neural Network

Abstract: This paper proposes a transfer learning neural network (TLNN) approach for digital pre-distortion (DPD) of mm-Wave active phased arrays (APA) operated under variable signal bandwidth regimes ...