Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs

The new framework sidesteps costly and risky real-world rollouts by generating synthetic training data, making powerful ...

Meta’s SPICE framework pushes AI toward self-learning without human supervision

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data ...

Baseten takes on hyperscalers with new AI training platform that lets you own your model weights

Baseten launches a new AI training infrastructure platform that gives developers full control, slashes inference costs by up to 84%, and eliminates vendor lock-in across multi-cloud environments.

Google unveils new AI model HOPE that moves closer to continual learning

Google unveils HOPE, a self-modifying AI model that learns continuously, outperforming LLMs and advancing toward human-like ...

Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
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How I’d Learn Deep Learning in 2025 – The Smarter, Faster Way

Thinking of diving into deep learning in 2025? Here's how I'd start today—from foundational concepts to cutting-edge tools. AI is evolving fast, but it's never too late to get in. #DeepLearning2025 ...
IEEE

A Multimodal Deep Learning Model Integrating CNN and Transformer for Predicting Chemotherapy-Induced Cardiotoxicity

Abstract: Chemotherapy-induced cardiotoxicity presents a major risk to cancer patients, often leading to severe cardiac complications such as heart failure, myocardial infarction, and arrhythmias.
IEEE

A Novel Deep Generative Model via Semantic-Based Knowledge Distillation for Zero-Shot Learning

Abstract: Zero-Shot Learning (ZSL) aims to identify unseen target classes that lack training data. Most existing methods address the ZSL problem by generating samples of unseen classes based on the ...