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Tech Xplore on MSN2d
Image generation reimagined: Tokenizers and decoders enable editing and inpainting without generators
AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...
GitHub24d
MNIST Classification using Neural Network - GitHub
The MNIST digit classification is possibly one of an aspiring ML/DL learner's first tasks.MNIST is an excellent dataset for people who wish to try machine learning techniques on a real-world dataset ...
MIT Technology Review3d
The Download: how your data is being used to train AI, and why chatbots aren’t doctors
How funny is AI, really? Not all senses of humor are made equal. ( Undark) + What happened when 20 comedians got AI to write their routines. ( MIT Technology Review) 10 Work has begun on the first ...
CORNETO: Machine learning to decode complex omics data
EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...
Tech Xplore on MSN3d
AI vision, reinvented: Vision-language models gain clearer sight through synthetic training data
In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...
New Tech Uses Twisted Light to Reveal Hidden Images
By twisting light just right, scientists can now unlock dual hidden images from a single metasurface—ushering in new ...
Frontiers1d
Harnessing Machine Learning for Enhanced Biomedical Diagnosis and Early Disease Detection: Bridging Data Science and Healthcare
Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...