The Daily Pennsylvanian

Penn Math Department announces plan to reorganize upper-level calculus curriculum

The redesigned sequence separates linear algebra and differential equations into more specialized tracks while eliminating ...
Greek Reporter

The Scholars Who Deciphered the Ancient Greek Script Linear B

If not for the work of two scholars, Alice Kober and Michael Ventris, the ancient Greek script Linear B would likely still be a mystery.

How machine learning helps MEMS actuators move in perfect lines

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
Tech Xplore

Study finds 'dosed' nonlinearity can beat linear and fully nonlinear AI

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...
IEEE

Human Behavior Identification for Linear Systems in Adversarial Environments by Adaptive Inverse Reinforcement Learning

Abstract: This article is concerned with the human behavior identification problem for linear human-in-the-loop (HiTL) systems in adversarial environments. By modeling the human as an optimal ...
ahajournals.org

Deep Learning–Enabled Assessment of Right Ventricular Function Improves Prognostication After Transcatheter Edge-to-Edge Repair for Mitral Regurgitation

Right ventricular (RV) function has a well-established prognostic role in patients with severe mitral regurgitation (MR) undergoing transcatheter edge-to-edge repair (TEER) and is typically assessed ...
Hosted on MSN

What Are Activation Functions in Deep Learning? Explained Clearly

Understand what activation functions are and why they’re essential in deep learning! This beginner-friendly explanation covers popular functions like ReLU, Sigmoid, and Tanh—showing how they help ...
Frontiers

Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia

We integrated mitochondrial gene expression data with bulk RNA sequencing to identify key mitochondrial genes associated with AML. A total of fourteen machine learning algorithms were employed, ...
PNAS

Asymptotic theory of in-context learning by linear attention

Attention-based architectures are a powerful force in modern AI. In particular, the emergence of in-context learning abilities enables task generalization far beyond the original next-token prediction ...
C&EN

Mixed-Integer Linear Programming Formulation with Embedded Machine Learning Surrogates for the Design of Chemical Process Families

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...
Machine Design

Technology and Benefits of Programmable Linear Position Sensors

Programmable position sensor benefits: eliminate the need for a programmable process monitor in some applications, adjust in seconds for deviations or tolerances in ...