Rethinking Tax Planning: The Growing Role Of Machine Learning

Unlike traditional systems that produce a single output, ML-driven tax planning generates a set of ranked strategies.
HackadayOpinion

AI On Every Machine: The LLM You Probably Didn’t Want

It’s been a story of the last week or so if you follow the kind of news channels a Hackaday scribe does, that Google have ...

Beyond Prediction: Why Financial Services Needs Causal Architecture at the Core of Its AI Models

The results have been impressive by the metrics that matter to technology teams: accuracy rates, processing speeds, cost ...
Assembly Magazine

Machine Learning Detects Fastening Errors

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
ece.ucsb.edu

Mar 3 (Tue) @ 10:30am: "On the Role of Structure in Deep Learning: Approximation, Generalization, and Optimization in High Dimensions," Vamshi Chowdary Madala, ECE PhD Defense

Location: Harold Frank Hall (HFH), Room 4108 (ECE Conf. Rm.) Through the lens of approximation theory, the central problem of deep learning is to find a function that can predict the output of a ...
Scientific Research Publishing

Friedman, J. H. (2001). Greedy Function Approximation: A Gradient Boosting Machine. The Annals of Statistics, 29, 1189-1232.

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...
Stars and Stripes

Army to ring in new year with new AI and machine learning career path for officers

A new career path for Army officers that focuses on artificial intelligence and machine learning further cements the service’s doctrinal shift toward cutting-edge technology and autonomous warfare.
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
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 ...
ascopubs.org

Development, External Validation, and Deployment of RFAN-ML: A Machine Learning Model to Estimate Renal Function After Nephrectomy

Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.