Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
GitHub

eric-vo/mathworks-noise-suppression

data/ ├── noise/ # Background noise samples used for mixing ├── train/ # Training dataset │ ├── clean_trainset_wav/ # Clean training audio │ └── noisy_trainset_wav/ # Noisy training audio ├── validate ...
Frontiers

CNNeoPP: a large language model-enhanced deep learning pipeline for personalized neoantigen prediction and liquid biopsy applications

Neoantigens have emerged as promising targets for personalized cancer immunotherapy. However, accurate identification of immunogenic neoantigens remains a challenge due to limitations in existing ...
contemporarypediatrics

Deep learning model accurately predicts childhood myopia risk

A deep learning model using baseline fundus images accurately predicted myopia and high myopia risk in school-aged children More than half of children without myopia at baseline developed the ...
EurekAlert!

Interpretability in deep learning for finance: A case study for the Heston model

CNN architecture summary: The first dimension in all the layers “?” refers to the batch size. It is left as an unknown or unspecified variable within the network architecture so that it can be chosen ...
blockchain

Grok Imagine Launches AI-Powered Future Family Visualization Tool: Transforming Personalized Experiences

This innovation leverages deep learning to generate realistic family member images based on user input, offering practical applications in personalized digital experiences, virtual storytelling, and ...
ZDNet

Is DeepSeek's new model the latest blow to proprietary AI?

DeepSeek released its V3.2 model on Monday. It aims to keep accessible AI competitive for developers. V3.2 heats up the race between open and proprietary models. Chinese AI firm DeepSeek has made yet ...
VentureBeat

Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
Time

OpenAI’s Sora Underscores the Growing Threat of Deepfakes

Sora by OpenAI at the top of the free app rankings on the App Store. Sora by OpenAI at the top of the free app rankings on the App Store. Photo illustration by Cheng ...
BizTech

What Is Cisco’s Deep Network Model, and What Does It Mean for Business Workflows?

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...
GitHub

Self-Learning-VAE-for-EEG-Artifact-Removal

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...