DIGITIMES

Apple enables LLMs to recognize actions from sound, advancing health monitoring and smart fitness

Apple has demonstrated that large language models (LLMs) can accurately identify user activities by integrating textual audio ...
The Manila Times

Minkang Zhang Improves Medical Image Recognition Through RNN Optimization and Deep Learning Integration

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...
Opinion
Communications of the ACMOpinion

Beyond Benchmarks: Responsible AI in Education Needs Learning Sciences

While attending the ASU-GSV Summit in April 2025, a global educational technology gathering, we heard from industry leaders who are incorporating learning sciences (LS) into their approach to ...
XDA Developers on MSN

I used NotebookLM to learn about Python and I should have sooner

Just take one complex Python guide, upload it to a notebook, and hit the ‘Audio Overview’ button. It bridged the gap between ...

The Dark Side of LLMs: Rising Energy and Water Demands Spark Sustainability Fears

The training of AI models and AI inferencing consumes vast amounts of water. How can energy and water usage be reduced?
Scientific Research Publishing

Intelligent Agents in Cybersecurity: Deep Learning to Analyze User Behavior Applying ()

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
IEEE

An Explainable Approach to Land-Use Classification Using CNN-LSTM and LIME

Abstract: The evolution of landscapes has opened the opportunity to utilize previously unused land for various purposes, such as agriculture and urban development. This approach promotes sustainable ...
Frontiers

Image steganalysis using LSTM fused convolutional neural networks for secure telemedicine

Deep learning-based image steganalysis has progressed in recent times, with efforts more concerted toward prioritizing detection accuracy over lightweight frameworks. In the context of AI-driven ...
Frontiers

Intelligent maneuver decision-making for UAVs using the TD3–LSTM reinforcement learning algorithm under uncertain information

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...