Tech Xplore

Lancelot federated learning system combines encryption and robust aggregation to resist poisoning attacks

Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively ...
Times Higher Education

Can transferable skills be taught in distance learning?

As workplaces are increasingly AI-integrated and hybrid, teaching transferable skills – including body language – in a virtual learning environment can, in some cases, offer a more authentic education ...
Drexel University

Incorporating Universal Design for Learning (UDL) Strategies Into Your Teaching

Incorporating UDL strategies into your teaching can improve student learning, increase mastery of learning ...
Daily Reporter

Jim Merritt: Learning from Tennessee’s example to build a high-tech economy

Today, Indiana thrives as a hub for innovators, visionaries and bold thinkers who will shape our future. Our manufacturers, logistics networks and research universities propel the Midwest and America ...
Baltimore Ravens

Roquan Smith Sets the Example by Learning to Swim

One of Roquan Smith's favorite sayings is "chin up, chest out." It's a reference to taking on challenges head-on, without fear or regrets. In the pool at Loyola College's aquatics center Tuesday ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
IEEE

Differential Privacy Enabled Robust Asynchronous Federated Multitask Learning: A Multigradient Descent Approach

Abstract: The federated learning (FL) technique can provide a promising solution for the timely training of a deep learning model with the critical requirement of privacy protection. However, the ...
IEEE

Learning-Based Asynchronous Sliding Mode Control for Switching Systems With Partly Unknown Probabilities

Abstract: This study focuses on the learning-based asynchronous sliding mode control for switching systems, operating under a general switching rule and partially unknown probability information. A ...
Hosted on MSN

Supervised Learning Example | Easy Explanation with Real-Life Use Case

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
marktechpost

PrimeIntellect Releases INTELLECT-2: A 32B Reasoning Model Trained via Distributed Asynchronous Reinforcement Learning

As language models scale in parameter count and reasoning complexity, traditional centralized training pipelines face increasing constraints. High-performance model training often depends on tightly ...
VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Two popular approaches for customizing ...