Google's Gemini Deep Research tool is now available globally
Just over a week after announcing Gemini Deep Research, Google is developing the tool available for more people. Starting today, ...
Tag: deep
EnzymeCAGE: a deep learning framework designed to predict the catalytic specificity of enzymatic reactions by encoding both specific enzyme pocket structures and chemical reactions
Enzymes are essential molecular catalysts that facilitate biochemical processes vital to life. They play crucial roles in metabolism, industry and ...
Do Transformers Really Understand Search? A deep dive into its limitations
Transformers have been the basis of large language models (LLMs), and recently their application has expanded to graph search problems, ...
Frequency Selective Adversarial Attack Against Deep Learning Based Wireless Signal Classifiers
Wireless communication is the foundation of modern systems and enables critical applications in the military, commercial and civil spheres. Its ...
US retailers aim to cash in on Cyber Monday with deep online discounts By Reuters
By Aishwarya Venugopal and Arriana McLymore (Reuters) -After lackluster spending in U.S. stores on a deal-filled Black Friday, retailers are ...
AI Math: The Bias-Variance Trade-off in Deep Learning | by Tarik Dzekman | Nov, 2024
The first thing to notice is that even though there’s no explicit regularisation there are relatively smooth boundaries. For example, ...
BEAL: A Bayesian Deep Active Learning Method for Efficient Deep Classification of Multi-Labeled Texts
Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved cutting-edge results in ...
This AI article presents TabM: an efficient ensemble-based deep learning model for robust processing of tabular data
By processing complex data formats, deep learning has transformed several fields, including finance, healthcare, and e-commerce. However, applying deep learning ...
A Deep Dive into Small Language Models: Efficient Alternatives to Large Language Models for Real-Time Processing and Specialized Tasks
ai has made significant progress in developing large language models (LLMs) that excel at complex tasks such as text generation, ...
A Study on Protein Conformational Changes Using a Large-Scale Biophysical Sampling Augmented Deep Learning Strategy
Predicting protein conformational changes remains a crucial challenge in computational biology and artificial intelligence. Advances made through deep learning, such ...
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