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News-Medical.Net2d
AI model detects brain tumors with high precision using epigenetic fingerprints
The MRI image shows a brain tumor in an inauspicious location, – and a brain biopsy will entail high risks for the patient, ...
Tumor diagnostics: AI model detects more than 170 types of cancer
The MRI shows a brain tumor in an inauspicious location, and a brain biopsy will entail high risks for a patient who had ...
Creative Bloq on MSN3d
AI gets high: 'digital psychedelics' allow image generators to replicate the effects of drugs
Just when you think we've seen every wild experiment that can be done with AI image generators , along comes another one to ...
How to Make AI Faster and Smarter—With a Little Help From Physics
Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...
Neurosymbolic AI is the answer to large language models’ inability to stop hallucinating
Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...
Purdue University College of Agriculture19d
From lab to table: Purdue Food Science research predicts texture with machine learning
The creaminess of custard. The fizz of foam. The slurpability of soup. Texture is just as essential to our eating experience ...
Visual Studio Magazine1y
Data Anomaly Detection Using a Neural Autoencoder with C#
The trained neural autoencoder model is used to scan all 240 data items ... Console.WriteLine("Neural network " + "autoencoder anomaly detection C# "); // load data // create autoencoder // train ...
syncedreview1y
Google & CMU’s Semantic Pyramid AutoEncoder Marks the First Successful Attempt for Multimodal Generation with Frozen LLMs
Recent development of Large language models (LLMs) empowers them to become more versatile ... To bridge this gap, in a new paper SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with ...