Beamr’s Benchmark Testing Validates ML-Safe Video Data Workflows for Autonomous Vehicles

Testing demonstrates 48% file size reduction with robust ML model accuracy across multiple industry-standard metrics. AV teams are invited to ...
Chromatography Online

A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
mccormick.northwestern.edu

COMP_SCI 496: Theory of Gradient-Based Optimization in ML

In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...
Semiconductor Engineering

Applying Machine Learning To Accelerate TCAD Calibration

TCAD models are the fundamental building blocks for the semiconductor industry. Whether it is a new process node or a new multi-billion dollar fab, accurate TCAD models must be developed and ...

Manulife Financial Corporation: Manulife Selects Adaptive ML as Reinforcement Learning Engine to Scale Enterprise AI

Partnership accelerates progress on Manulife's proprietary AI platform with real-time model optimization TORONTO and NEW YORK, Dec. 22, 2025 /PRNewswire/ -- Manulife announced today that it ...
The Next Platform

How Etsy Crafts AI/ML Cost, Optimization Balance

Much has changed at online retail giant, Etsy, since 2015 when we talked to the company’s senior VP of technical operations about their adherence to their on-prem datacenters and database-driven ...