Fentanyl or phony? Machine learning algorithm learns to pick out opioid signatures

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
GitHub

Urban Routing Benchmark: Benchmarking MARL algorithms on the fleet routing tasks

first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...
IEEE

Comparative Study of Different Task Scheduling Algorithm in an Energy Efficient Way in Cloud Computing

Cloud computing differs from traditional computing because of its features, such as scalability, measured service, resource pooling, and on-demand self-service. In addition, quality of service is ...
Psychology Today

Navigating the Impacts of AI-Driven Social Media Algorithms

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...
MIT Technology Review

This is the most misunderstood graph in AI

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.
TWCN Tech News

How to schedule Tasks on Google Calendar

Google Calendar helps a lot with tracking tasks, keeping up with them, and planning. Let’s see how to do it. Schedule a Task on Google Calendar Edit a task and its deadline Mark a task as complete ...
The Verge

Musk says he’s going to open-source the new X algorithm next week

He open-sourced Twitter’s algorithm back in 2023, but then never updated the GitHub. He open-sourced Twitter’s algorithm back in 2023, but then never updated the GitHub. is the Verge’s weekend editor.
IEEE

Distributed Task Scheduling Algorithm Based on MADDPG in MEC Emergency Networks

Abstract: In resource-constrained emergency networks, task scheduling algorithms play a crucial role in allocating computational tasks and managing data transmission. Currently, centralized scheduling ...
Scientific Research Publishing

Castelo, N., Bos, M. W., & Lehmann, D. R. (2019). Task-Dependent Algorithm Aversion. Journal of Marketing Research, 56, 809-825.

ABSTRACT: This study explores the role of artificial intelligence (AI) in shaping competitive advantage by reviewing the existing literature. It reviews literature with considering AI as a strategic ...
Android Police

Google Tasks finally learns what a deadline is

Rajesh started following the latest happenings in the world of Android around the release of the Nexus One and Samsung Galaxy S. After flashing custom ROMs and kernels on his beloved Galaxy S, he ...
ahajournals.org

Abstract 4369022: A multi-task deep learning algorithm for detecting obstructive coronary artery disease using fundus photographs

Background and Aims: Obstructive coronary artery disease (CAD) can lead to myocardial infarction or cardiac death. The accuracy of conventional risk prediction models is limited, leading to excessive ...