Humans and artificial neural networks exhibit some similar patterns during learning

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...

Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks

The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...
IEEE

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
Frontiers

Advances and Challenges in AI-Driven Visual Intelligence: Bridging Theory and Practice

AI-Driven Visual Intelligence forms a critical cornerstone of both computer vision and artificial intelligence, serving ...
NDTV

IISc Bangalore Invites Applications For Free Deep Learning, AI Course, Details Here

IISc Bangalore Deep Learning Course 2025: The Indian Institute of Science (IISc), Bengaluru, in collaboration with SWAYAM, is ...

Engineering wearable tech that expands human possibility

Inside Kyocera’s Future Design Lab, engineers are pushing wearable technology beyond research and into everyday life.

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...
IEEE

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.
eLife

CNN-based learning of single-cell transcriptomes reveals a blood-detectable multi-cancer signature of brain metastasis

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...
AlphaGalileo

Smart tea agriculture: machine learning opens new pathways for quality and sustainability

A research team has mapped how machine learning is transforming the global tea industry, revealing that data-driven ...

Yixian Jiang Integrates Bayesian Networks and Metadata Standards to Advance Intelligent Digital Object Systems

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
IEEE

Deep Learning for Anomaly Detection: A CNN-LSTM Autoencoder Approach

Abstract: Due to the significant growth of video surveillance installations in recent years, video anomaly detection has attracted considerable interest in the security sector. Detecting anomalies in ...