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Microsoft's AI Costs Spook Investors, Stock Takes a Dive - Professional coverage
BusinessCloudSoftware

Microsoft’s AI Costs Spook Investors, Stock Takes a Dive

According to MarketWatch, Microsoft's stock fell sharply, down about 7% in after-hours trading following its December-quarter earnings report. This drop…

Overpath raises €1.6M to fix sales teams with AI - Professional coverage
AISoftwareTechnology

Overpath raises €1.6M to fix sales teams with AI

According to Silicon Republic, Dublin-based startup Overpath has raised €1.6 million in a funding round led by venture firm Elkstone,…

LVGL and Renesas are making embedded HMIs way easier - Professional coverage
HardwareSoftwareTechnology

LVGL and Renesas are making embedded HMIs way easier

According to Embedded Computing Design, the open-source Light and Versatile Graphics Library (LVGL) is a key framework for building modern…

InnovationScienceTechnology

Copper Pollution Patterns Reveal Human Impact on Major Asian Estuaries, Study Finds

Scientists have documented complex copper pollution patterns across six major estuaries in the northwest Pacific. The research reveals how heavy metals interact with dissolved organic matter, providing new insights into industrial and agricultural contamination sources affecting these vital ecosystems.

Pollution Patterns Across Major Estuarine Systems

Recent environmental research has uncovered significant copper pollution in six large-scale estuaries across the northwest Pacific region, according to a study published in Communications Earth & Environment. Scientists investigated how copper(II) complexes with dissolved organic matter (DOM) across the Yellow River Estuary (YRE), Yangtze River Estuary (YRE), Liaohe River Estuary (LRE), Han River Estuary (HRE), Chientang River Estuary (CRE), and Zhujiang River Estuary (ZRE).

AIScienceSoftware

Graph-Based AI Model Maps Cellular Communication Networks in Single-Cell Data

Researchers have developed GraphComm, a graph-based deep learning method that predicts cell-cell communication from single-cell RNA sequencing data. The approach integrates ligand-receptor annotations with expression data to map interaction networks across biological systems. Validation studies demonstrate its utility in identifying communication patterns in embryonic development, cancer drug response, and spatial microenvironments.

New Computational Framework Decodes Cellular Communication

Scientists have developed a novel graph-based deep learning method that reportedly predicts cell-cell communication (CCC) from single-cell RNA sequencing data, according to research published in Scientific Reports. The method, called GraphComm, leverages detailed ligand-receptor annotations alongside expression values and intracellular signaling information to construct interaction networks that can prioritize multiple interactions simultaneously.

BusinessCybersecurityTechnology

UK’s Costliest Cyberattack: Jaguar Land Rover Hack Inflicts £1.9bn Economic Blow

A major cyberattack on Jaguar Land Rover in August 2025 has been declared the most economically damaging cyber event in UK history. According to a new report, the incident caused a staggering £1.9bn financial impact and disrupted over 5,000 organizations across the country.

Unprecedented Financial Damage

A cyber-attack targeting automotive giant Jaguar Land Rover (JLR) in August 2025 has been identified as the most costly cyber incident ever to hit the United Kingdom. According to reports from the independent Cyber Monitoring Centre (CMC), the breach inflicted a devastating £1.9bn ($2.55bn) financial impact on the UK economy.