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Neel Somani on formal methods and the future of machine learning safety

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
National Bureau of Economic Research

Are There Predictable Errors in Investor Expectations?

Investors make predictable mistakes when forecasting earnings and stock returns, but machine learning models avoid them through adaptive learning.
American Institute of Physics

Rethinking electron-molecule scattering simulations

Automatically numbering and weighting electronic states instead of taking averages improves estimates of target molecular orbitals.
IEEE

Understanding Climate-Driven Migration: A Nonlinear Machine Learning Approach

Abstract: The relationship between climate change and migration has gained significant attention in recent years, particularly regarding its impact on vulnerable regions. This study proposes a novel ...
Hosted on MSN

Why space and time have limits: Understanding the fundamental boundaries

Ready to unlock your full math potential? 🎓Follow for clear, fun, and easy-to-follow lessons that will boost your skills, build your confidence, and help you master math like a genius—one step at a ...
Scientific Research Publishing

Burrell, J. (2016) How the Machine ‘Thinks’: Understanding Opacity in Machine Learning Algorithms. Big Data & Society, 3, 1-12.

has been cited by the following article: TITLE: The Indispensable Role of Law in Governing AI: Why Legal Ethics and Regulation Are Essential for Responsible AI Development ...
IEEE

Testing and Understanding Deviation Behaviors in FHE-Hardened Machine Learning Models

Abstract: Fully homomorphic encryption (FHE) is a promising cryptographic primitive that enables secure computation over encrypted data. A primary use of FHE is to support privacypreserving machine ...
Business Wire

WorldQuant University Launches Deep Learning Fundamentals Lab, a Free, Hands-On AI Credential

WASHINGTON--(BUSINESS WIRE)--WorldQuant University (WQU) has launched the Deep Learning Fundamentals Lab, a free, 16-week online certificate program designed to equip learners with advanced technical ...
ucdavis.edu

Engineers Create Mini Microscope for Real-Time Brain Imaging

The DeepInMiniMicroscope developed by UC Davis electrical engineering professor Weijian Yang combines optical technology and machine learning to create a device that can take high-resolution ...
Geeky Gadgets

Essential Machine Learning Skills to Learn for Career Growth in 2025

What if the skills you choose to learn today could determine your career trajectory in 2025? The field of machine learning is evolving at a breakneck pace, and with it comes a growing demand for ...
Scientific Research Publishing

Rudin, C., Chen, C., Chen, Z., Huang, H., Semenova, L., & Zhong, C. (2022). Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges. Statistics Surveys ...

ABSTRACT: Machine learning (ML) has revolutionized risk management by enabling organizations to make data-driven decisions with higher accuracy and speed. However, as machine learning models grow more ...
Purdue University

Machine Learning Fundamentals: Principles and Applications

Gain a deeper understanding of artificial intelligence with Machine Learning Fundamentals: Principles and Applications. This course explores core concepts and practical uses of supervised and ...