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Microsoft’s patch Tuesdays are about to get bigger
Microsoft’s patch Tuesdays are about to get bigger
Windows 11 updates could soon include fixes for more security issues at once. Microsoft said in a blog post on Thursday that it's now using AI to "identify potential issues earlier," which means "customers will see a higher volume of security updates included in each security rel
New York Times says OpenAI hid evidence in ChatGPT copyright trial
News publishers say OpenAI hid tools and datasets that could identify copyrighted journalism in ChatGPT outputs, escalating their lawsuit with a new motion for sanctions.
A tiny diamond defect could reveal a mysterious new kind of magnetism
A tiny diamond defect could reveal a mysterious new kind of magnetism
A newly proposed quantum sensing technique could make it much easier to identify one of physics’ newest and most intriguing classes of magnets: altermagnets. These unusual materials, discovered only a few years ago, appear to combine the speed and efficiency of antiferromagnets w
Synthetic DNA toolkit expands scientists' ability to recognize genetic targets
Synthetic DNA toolkit expands scientists' ability to recognize genetic targets
A new method for recognizing and targeting DNA that dramatically expands the range of genetic sequences scientists can identify has been developed by experts at the University of Portsmouth. Published this week in Nature Communications, the research opens new possibilities for ge
Vulnerable butterfly recorded in the Botanical Garden at Uppsala
The Botanical Garden in Uppsala was recently visited by animal ecology researchers, who conducted a BioBlitz to find, identify and record as many insects as possible in the Botanical Garden. One of the finds was an endangered butterfly called the Small Blue, Cupido minimus. It is
Camera traps reveal the true culprit behind crop damage in Honduras
A new study from the Honduran Mosquitia shows how simple, noninvasive technology can help solve one of the most common challenges in wildlife conservation: identifying the species actually responsible for crop damage. The full detailed results have been published in Neotropical B
DNA databases unite to create a fully open resource for transposable element research
For more than three decades, researchers studying genomes have relied on foundational resources such as Repbase and, more recently, Dfam to identify and classify transposable elements—the mobile DNA sequences that shape genome structure, evolution and function. Now, Dfam and Repb
Foto: Francesco Ungaro / Pexels
Airborne AI spots underwater munitions in shallow seas with high precision
A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ongoing hazard to public safety, marine ecosystems and infrastructure worldwide. By combining advanced multispectral sensing with artificial intelligence, the r
Trained AI outperforms biologists at spotting salmon lice
Researchers have taken over 120,000 images of salmon lice larvae in seawater and used them to train AI models. The models were much faster and more accurate than experienced biologists at identifying the parasites that feed on the skin and blood of salmonids.
New workflow tool gives scientists a clearer view of how DNA is regulated
Researchers from the Cancer Science Institute of Singapore (CSI Singapore) at NUS have developed a new method that allows scientists to better understand how DNA is organized and regulated inside cells. The study, published in the journal Nature Communications on May 26, 2026, in
From birdsong to galaxies: Unleashing the potential of citizen science
Everyone could contribute dramatically more to scientific knowledge if given better recognition, administrative support and funding stability, new research has found. An international collaboration of 16 organizations used surveys and group discussions to identify key challenges,
AI maps 991 aromatic plants, identifies scent compounds that may improve sleep
Food scientists at the National University of Singapore (NUS) have used machine learning to sift through more than 2,300 scent molecules from aromatic plants and identify compounds with sleep-promoting potential, an approach that could accelerate the discovery of natural sleep ai