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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

New Catalysis Research Reveals Universal Method for Measuring CO Adsorption in Electrochemical Systems

Researchers have developed a universal kinetic expression that enables precise determination of CO adsorption free energies on various catalysts during CO2 electroreduction. The method reveals how cation identity, concentration, and surface structure significantly influence CO adsorption behavior in electrochemical environments.

Breakthrough in Electrochemical Catalyst Analysis

Scientists have established a universal kinetic framework for determining carbon monoxide adsorption free energies on active sites involved in CO2 electroreduction, according to recent research published in Nature Catalysis. The methodology enables researchers to quantitatively measure how strongly CO molecules bind to catalyst surfaces under operational conditions, a critical parameter that influences the efficiency and selectivity of CO2-to-fuel conversion processes.

AIInnovationScience

New AI Framework Revolutionizes Protein-Peptide Interaction Scoring for Drug Development

Researchers have developed a groundbreaking AI framework that addresses critical challenges in peptide drug discovery. The GraphPep model leverages interaction-derived graph learning to significantly improve prediction accuracy for protein-peptide complexes.

Breakthrough in Computational Biology

Researchers have unveiled a novel artificial intelligence framework that reportedly transforms how scientists score protein-peptide interactions, according to recent publications in Nature Machine Intelligence. The new approach, named GraphPep, addresses fundamental limitations in peptide drug discovery by focusing specifically on interaction patterns rather than traditional structural elements.

EngineeringHardwareTechnology

Breakthrough MEMS Accelerometer Achieves Unprecedented Sensitivity and Range Through Auto-Tuning Technology

A groundbreaking MEMS accelerometer design featuring auto-tuning electrostatic anti-spring technology has been developed, according to research reports. The innovation reportedly overcomes traditional trade-offs between sensitivity and measurement range that have limited accelerometer performance. Early testing suggests the technology could enable significant improvements in dynamic range for various sensing applications.

Revolutionary MEMS Accelerometer Design

Researchers have developed a novel microelectromechanical systems (MEMS) accelerometer that reportedly overcomes fundamental performance limitations through innovative electrostatic anti-spring technology, according to recent reports in Microsystems & Nanoengineering. The breakthrough design features an auto-tuning capability that sources indicate can simultaneously improve both sensitivity and measurement range without requiring changes to sensor geometry or system architecture.