This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...
The U.S. media is happy to launder White House sci-fi lies about sonic weapons, if they get to use phrases like "vomiting ...
Elon Musk and Twitter continue to defend Grok generating sexualized deepfakes and CSAM, but some countries are enforcing bans ...
This study from MIT explores eye evolution through AI simulations, uncovering how different tasks shape visual systems and their neural processing requirements.
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Morning Overview on MSN
Squirrels can recover 85% of the nuts they hide, here's how
Squirrels are famously forgetful in popular culture, yet field studies show they can relocate roughly 85 percent of the nuts they hide, a success rate that would put most human key-finders to shame.
Most independent rappers don’t fail because the music is bad. They fail because they don’t understand the first 24 hours. Spotify’s Release Radar isn’t automatic, and it isn’t luck. Release Radar is ...
Abstract: This work investigates the space-limited aircraft assembly scheduling problem (SAASP) based on real-world cases. A computational model, minimizing the makespan, is developed to formulate the ...
Under the guidance of “Dual Carbon” goal, the multi-party cooperative mechanism of port consolidation and distribution system faces many challenges, particularly the conflict between the high costs of ...
Users can note which content they would like to view more frequently. Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
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