How Battery Recycling Meets AI’s Power Demands: Redwood’s $6B Bet on US Energy Independence
From EV Batteries to AI Power Grids Redwood Materials, the battery recycling pioneer founded by Tesla co-founder JB Straubel, has…
From EV Batteries to AI Power Grids Redwood Materials, the battery recycling pioneer founded by Tesla co-founder JB Straubel, has…
The latest Pixel Camera update is crashing on de-Googled Android systems due to a new dependency on Google Play Services for a specific font. Analysts suggest the issue stems from the app’s call for Google Sans Flex, which is only available through Play Services. Users can temporarily fix the problem by rolling back to an earlier version of the app.
The Pixel Camera app’s latest update is causing crashes on de-Googled Android operating systems, such as GrapheneOS, according to reports. Sources indicate that version 10.x of the app now requires Google Play Services to function, a change that has left users without these services unable to use the camera. The report states that without Play Services, the app either crashes or fails to start entirely.
Slower-Than-Expected Semiconductor Rebound Concerns Industry Leaders Texas Instruments has delivered a sobering assessment of the semiconductor industry’s recovery trajectory, indicating…
The Hidden Diversity of Therapeutic Nanoparticles For years, lipid nanoparticles (LNPs) have been considered the reliable workhorses of modern medicine—uniform…
A groundbreaking study reveals that synthetic medical images generated through artificial intelligence can match the diagnostic accuracy of traditional data-sharing methods. The CATphishing framework offers a privacy-preserving alternative to federated learning for multi-institutional medical collaborations.
Researchers have developed a novel framework that uses synthetic medical images to train diagnostic AI models with performance comparable to traditional data-sharing approaches, according to a recent study published in Nature Communications. The method, termed CATphishing, reportedly addresses critical privacy concerns in multi-institutional medical research while maintaining diagnostic accuracy.
Researchers have developed a breakthrough method for tracking cell division in human embryos using advanced light-sheet microscopy. The study reveals previously unseen mitotic errors that contribute to chromosomal abnormalities in developing embryos.
Scientists have successfully developed an advanced method for live-imaging human embryos that reveals previously unseen cell division errors, according to a new study published in Nature Biotechnology. The research team optimized nuclear DNA labeling techniques that allowed them to track embryonic development for up to 48 hours without disrupting normal growth patterns. Sources indicate this represents a significant advancement in understanding early human development.
Revolutionary Approach to Chiral Lactone Synthesis Researchers have developed a groundbreaking copper-catalyzed method for producing enantiomerically pure γ-butenolides, addressing long-standing…
In a breakthrough for agricultural science, researchers have successfully mapped the complete genetic blueprint of Fusarium tricinctum, a destructive fungal pathogen responsible for devastating root rot in alfalfa. The high-quality genome assembly reveals critical insights into the fungus’s pathogenicity mechanisms and toxin production capabilities. This genomic resource is expected to accelerate the development of sustainable management strategies for controlling the widespread crop disease.
Scientific reports indicate researchers have achieved the first complete chromosome-level genome assembly of Fusarium tricinctum, a globally devastating fungal pathogen associated with root rot disease in alfalfa. According to the study published in Scientific Data, this breakthrough addresses a critical knowledge gap that has previously hindered molecular investigations into the pathogen’s destructive mechanisms.