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Google's AirDrop-like feature might finally come to the Pixel 9 - Professional coverage
InnovationSoftwareTechnology

Google’s AirDrop-like feature might finally come to the Pixel 9

According to GSM Arena, the latest Android Canary build for the Google Pixel 9 series now includes the system files…

Canonical's AI-Generated Code Was "Plain Wrong" - Professional coverage
ComputingInnovationSoftware

Canonical’s AI-Generated Code Was “Plain Wrong”

According to Phoronix, Canonical has been experimenting with AI to modernize its legacy Ubuntu Error Tracker, a system for reporting…

Nike Sells Off Its NFT Bet RTFKT, Trump Pushes $200B Mortgage Buy - Professional coverage
BusinessInnovationStartups

Nike Sells Off Its NFT Bet RTFKT, Trump Pushes $200B Mortgage Buy

According to Bloomberg Business, Nike Inc. has sold its digital products subsidiary RTFKT, pronounced "artifact," roughly one year after shuttering…

ResearchScience

Breakthrough Computational Method Accelerates Discovery of Next-Generation OLED Materials

Scientists have created a revolutionary screening method that dramatically accelerates the discovery of materials with inverted singlet-triplet energy gaps. The approach combines two molecular descriptors to identify promising candidates for next-generation organic light-emitting diodes. This breakthrough could pave the way for more efficient near-infrared displays and lighting technologies.

Revolutionary Screening Method Transforms OLED Material Discovery

Researchers have developed a computational breakthrough that reportedly accelerates the discovery of novel fluorescence emitters by more than 13 times while maintaining a 90% success rate, according to recent findings published in npj Computational Materials. The new method specifically targets materials with inverted singlet-triplet (IST) energy gaps, which analysts suggest could revolutionize near-infrared organic light-emitting diodes (OLEDs).

HealthcareTechnology

Wearable Tech Predicts Health Risks Through Biological Age Tracking

A groundbreaking study demonstrates how wearable technology can accurately estimate biological age and predict future health outcomes. The research reveals strong connections between accelerated aging signals and chronic disease development, offering new possibilities for preventive healthcare.

Wearable Technology Revolutionizes Aging Assessment

Researchers have developed a novel method for estimating biological age using data from consumer wearable devices, according to reports published in Nature Communications. The technology, termed PpgAge, analyzes photoplethysmography (PPG) signals from Apple Watch to create what scientists describe as an “aging clock” with significant implications for longevity research and clinical practice.