Enterprises using multiple AI models are underestimating failure rates by 2.25x

A study of 67 AI models finds enterprises underestimate multi-model failure rates by 2.25x, and offers a free test to check ...

Used or cited: The two ways brands appear in AI search

Learn how AI engines use and cite brand information, how to measure both, and why traditional SEO still matters.

Florida pythons are edible. There's just one big problem

Python tacos? Python pizza? 'Chicken of the Glades?' Florida considered making invasive snakes a food source. Then science ...
GitHub

Heritability, genetic correlation and functional enrichment estimation for case-control studies.

S-PCGC is an adaptation of stratified LD score regression (S-LDSC) for case-control studies. Like S-LDSC, S-PCGC can estimate genetic heritability, genetic correlation and functional enrichment.
technologynetworks

Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
eLife

Distinct involvements of the subthalamic nucleus subpopulations in reward-biased decision-making in monkeys

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.
IEEE

MLO TTLM Optimization for IEEE 802.11bn IoT Networks through Federated Learning supported Transformer-based Correlation Estimation

Abstract: Multi-link operation (MLO) is a key feature introduced in the IEEE 802.11be (Wi-Fi 7) standard to support the quality of service (QoS) demands of emerging Internet of Things (IoT) wireless ...
GitHub

Microsoft Authentication Library (MSAL) for Python

The Microsoft Authentication Library for Python enables applications to integrate with the Microsoft identity platform. It allows you to sign in users or apps with Microsoft identities (Microsoft ...
IEEE

Python Code Smell Detection Using Machine Learning

Abstract: Python is an increasingly popular programming language used in various software projects and domains. Code smells in Python significantly influences the maintainability, understandability, ...