Why You’re Better Than a Computer at Solving Connections

An engineer for New York Times Games has been trying to teach artificial intelligence to understand wordplay more like a ...
Hubbis

From Momentum to Meaning: Insights from Akshay Prasad on Data, Discipline and the Future of Advisory

In a moment of reflection, Prasad shared an unconventional insight drawn from reading Peter Thiel’s Zero to One. “Being a ...
Network World

AI-driven network management gains enterprise trust

Network automation is becoming a must-have for enterprises as networks get more complex and AI projects multiply. Traditional ...

Brendan Fraser and Dwayne Johnson on Their Life-Changing ‘Mummy’ Friendship, Loneliness and Learning to Stop Trying So Hard: ‘Why Am I Doing This?’

Brendan Fraser and Dwayne Johnson go deep on their friendship after 'The Mummy' and new roles in 'The Smashing Machine' and ...
Que.com on MSN

Understanding AI: Breaking down machine learning, deep learning, and generative AI

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...
JD Supra

Agentic AI in Financial Services: Regulatory and Legal Considerations

As AI evolves, agentic AI has emerged as one of 2025's defining tech trends - autonomous AI systems capable of decision-making and executing ...

Nichols’ Notes: Devils, CBJ Fan Rivalry Flames; The Jack Hughes Problem

Devils Rink Report: It’s simple, the Devils are missing two key players in Jack Hughes and Brett Pesce. However, a lot of ...

C.H. Robinson Worldwide, Inc. (CHRW) Presents at UBS Global Technology and AI Conference 2025 Transcript

C.H. Robinson Worldwide, Inc. ( CHRW) UBS Global Technology and AI Conference 2025 December 3, 2025 12:55 PM EST ...
Tech Xplore

Guided learning helps previously 'untrainable' neural networks learn effectively

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
The Print

Leveraging AI and Machine Learning for Intelligent Portfolio Management

Artificial intelligence and machine learning are reshaping how investors build and maintain portfolios. These tools bring ...
IEEE

From Wasserstein to Maximum Mean Discrepancy Barycenters: A Novel Framework for Uncertainty Propagation in Model-Free Reinforcement Learning

Abstract: Uncertainty characterization via posteriors followed by Bayesian updates is an acclaimed way to aid the exploration of model-free Reinforcement Learning (RL) algorithms. Motivated by the ...
IEEE

Privacy-Preserving Diffusion Adaptive Learning With Nonzero-Mean Protection Noise

Abstract: In this article, we consider the data privacy issue of distributed learning over adaptive networks under zero-mean protection noise. First, using a nonzero-mean protection noise, a new ...