eLife

Distinct neural representations of perceptual and numerical absence in the human brain

This valuable study presents evidence that the human brain encodes perceptual absence and numerical absence through distinct neural codes, while confirming that symbolic and non-symbolic forms of zero ...

New College of Florida Expands Techne Program With Appointment of Former Harvard Preceptor David Kane

SARASOTA, FL, UNITED STATES, July 24, 2026 /EINPresswire.com/ -- New College of Florida continues to expand its ...
note

Copying 'Introduction to Data Analysis with Bayesian Statistical Modeling' in Python and Stan - Vol. 15 Logistic Regression Model

This article is a Python copying activity record of Chapter 9, Part 3: 'Logistic Regression Model' from the book 'Introduction to Data Analysis with Bayesian Statistical Modeling using R and Stan'.
Scientific Research Publishing

Bassett, R. and Deride, J. (2019) Maximum a Posteriori Estimators as a Limit of Bayes Estimators. Mathematical Programming, 174, 129-144.

ABSTRACT: This work introduces a novel Bayesian inspired regression method for the simultaneous estimation of model parameters and data uncertainties. The key mathematical result of this framework is ...
Business Wire

Palladyne AI Secures Additional Foundational Swarming U.S. Patent on AI-Driven Path Creation, Target Detection, and Behavioral Prediction

SALT LAKE CITY--(BUSINESS WIRE)--Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial technology company commercializing embedded AI, collaborative autonomy, and advanced avionics for ...
Morningstar

Palladyne AI Secures Additional Foundational Swarming U.S. Patent on AI-Driven Path Creation, Target Detection, and Behavioral Prediction

Second Patent in Four Months Strengthens IP Protection Across Autonomous Robotics, Multi-Sensor Surveillance, and Intelligent Edge Computing Markets Palladyne AI (NASDAQ: PDYN), a U.S.-based defense ...
Morgan Stanley

Bayes and Base Rates: How History Can Guide Our Assessment of the Future

The ongoing massive investments in artificial intelligence (AI) aim to satisfy a huge increase in anticipated demand, which in turn has led some firms to offer rosy growth forecasts. To assess these ...
Hacker

How Bayesian Tail-Risk Modeling can save your Retail Business Marketing Budget

Success for e-commerce marketing businesses is often represented in terms of Return on Investment (ROI), and while it is convenient to think of ROI as low value, looking specifically at average ROI ...
IEEE

Safe Bayesian Optimization Across Noise Models via Scenario Programming

Abstract: Safe Bayesian optimization (BO) with Gaussian processes is an effective tool for tuning control policies in safety-critical real-world systems, specifically due to its sample efficiency and ...
GitHub

A modern probabilistic programming implementation showcasing Bayesian methods, uncertainty quantification, and advanced probabilistic models.

This is a research/educational demonstration project. Not for production decisions or control systems. Models are for demonstration purposes only Results should not be used for critical ...
Microsoft

Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health Program

Mobile health (mHealth) programs face a critical challenge in optimizing the timing of automated health information calls to beneficiaries. This challenge has been formulated as a collaborative ...