Los Alamos Reporter

LANL: Researchers Show Some Quantum Learning Models Are Classically Simulable

As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...
The Next Web

Databricks co-founder Matei Zaharia wins ACM Prize and declares AGI is already here

Apache Spark creator and Databricks CTO Matei Zaharia wins the 2026 ACM Prize in Computing and argues that AGI has already ...
Semiconductor Engineering

Rethinking Robotics Reinforcement Learning: A Practical Humanoid Training Workflow

A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Computer Weekly

PyTorch Foundation lights up welcomes for Helion & Safetensors

The PyTorch Foundation also welcomed Safetensors as a PyTorch Foundation-hosted project. Developed and maintained by Hugging ...
TMCnet

PyTorch Foundation Announces Safetensors as Newest Contributed Project to Secure AI Model Execution

Safetensors is welcomed into the PyTorch Foundation to secure model distribution and build trusted agentic solutions. PARIS, ...

New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...
IEEE

Mixture of Specialized Experts for Model-Heterogeneous Personalized Federated Learning

Abstract: Federated learning is a distributed machine learning paradigm designed to facilitate collaborative model training while preserving user data privacy. However, in practical scenarios, data ...
The Conversation

What is ‘Edge AI’? What does it do and what can be gained from this alternative to cloud computing?

“Edge computing”, which was initially developed to make big data processing faster and more secure, has now been combined with AI to offer a cloud-free solution. Everyday connected appliances from ...
marktechpost

Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to Enhance Long Context Processing

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...