A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
The Food Ranger on MSN
The layered preparation behind one of the Middle East’s most intense dishes
Madfoun is a traditional dish prepared by sealing seasoned meat and rice underground for slow cooking. This video follows the full preparation process, from ingredient selection to burial and ...
Microsoft PowerPoint is not just a presentation tool, it can also be used for some creative tasks like extracting colors from ...
A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...
Apple has been accused of infringing on a European patent covering gaze correction, the feature used to correct a user's eye ...
4don MSN
Vibrational spectroscopy technique enables nanoscale mapping of molecular orientation at surfaces
Sum-frequency generation (SFG) is a powerful vibrational spectroscopy that can selectively probe molecular structures at ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
PlanetF1 on MSN
Mercedes W17 reveal raises first technical puzzle of F1 2026
A two-prong reveal conducted by Mercedes has revealed a number of features of their 2026 challenger, as the W17 broke cover ...
A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive oscillator” that operates at the edge of chaos. Through simple signal ...
Sweet potato is a globally important food crop with rich nutritional value, widely used in food processing, feed production, ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...
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