Author: WeWorldMedia-admin

IUSE / Professional Formation of Engineers: Revolutionizing Engineering Departments (IUSE/PFE: RED)

Published: 8 March 2025
Categories: NSF Due Dates

RSS feed source: National Science Foundation

Synopsis

Revolutionizing Engineering Departments (hereinafter referred to as RED) is designed to build upon previous efforts in engineering education research. Specifically, previous and ongoing evaluations of the NSF Engineering Education and Centers Division program and its predecessors, as well as those related programs in the Directorate for STEM Education, have shown that prior investments have significantly improved the first year of engineering students’ experiences, incorporating engineering material, active learning approaches, design instruction, and a broad introduction to professional skills and a sense of professional practice – giving students an idea of what it means to become an engineer. Similarly, the senior year has seen notable change through capstone design experiences, which ask students to synthesize the technical knowledge, skills, and abilities they have gained with professional capacities, using reflective judgment to make decisions and communicate these effectively. However, this ideal of the senior year

Click this link to continue reading the article on the source website.

EPSCoR Research Infrastructure Improvement (RII): EPSCoR Research Fellows

Published: 8 March 2025
Categories: NSF Due Dates

RSS feed source: National Science Foundation

Synopsis

The Established Program to Stimulate Competitive Research is designed to fulfill the mandate of the National Science Foundation (NSF) to promote scientific progress nationwide. NSF EPSCoR facilitates the establishment of partnerships among academic institutions, government, industry, and non-profit sectors that are designed to promote sustainable improvements in a jurisdiction’s research infrastructure, Research and Development (R&D) capacity, and R&D competitiveness of EPSCoR-eligible jurisdictions (i.e., states, territories, and commonwealths). Eligibility to participate in the EPSCoR funding opportunities, including the EPSCoR RII: EPSCoR Research Fellows program, is described on the NSF EPSCoR website. 

EPSCoR RII: EPSCoR Research Fellows directly aligns with the NSF EPSCoR strategic goal of establishing sustainable Science, Technology, Engineering, and Mathematics (STEM) professional development pathways that advance workforce development and effects engagement in STEM at national and global levels. EPSCoR RII: EPSCoR Research Fellows provides awards to build research capacity in institutions and transform the career

Click this link to continue reading the article on the source website.

Stolen Radiography Camera

Published: 7 March 2025
Categories: IAEA

RSS feed source: National Science Foundation

Stolen Radiography Camera

Print View Posted on: 07 March 2025

Event Date: 27 February 2025 Event Type: Radiation Source Event Location: United States of America, Kernersville, North Carolina / IQS Inspections INES Rating: 2 (Provisional)

On 27 February 2025, a radiography camera containing 2.738 TBq (74 Ci) of Ir-192 was reported stolen from a licensee’s truck. On 26 February 2025, the radiographer stayed the night at a hotel in Kernersville, NC and discovered the next morning that the camera was missing. The radiographer had not followed approved procedures for securing the camera. They immediately notified North Carolina state authorities and local law enforcement. A search of the area was performed but the device could not be located. Hotel surveillance camera footage was reviewed but did not provide any useful information. North Carolina Department of Health and Human Services issued a press release (https://www.ncdhhs.gov/news/press-releases/2025/02/28/ncdhhs-issues-alert-missing-radioactive-material-triad-area) to warn the public of the potential danger of the device and to contact authorities if it is found or anyone has knowledge of its location. North Carolina state regulators and law enforcement investigations are ongoing. Based on activity, the source involved was Category 2.
NRC EN57574

Click this link to continue reading the article on the source website.

AI pioneers Andrew Barto and Richard Sutton win 2024 Turing Award for groundbreaking contributions to reinforcement learning

Published: 5 March 2025
Categories: National Science Foundation

RSS feed source: National Science Foundation

The computing world is celebrating a major milestone as Andrew Barto, professor emeritus at the University of Massachusetts Amherst, and Richard Sutton, professor of computer science at the University of Alberta, Canada, have been awarded the 2024 Association for Computing Machinery A.M. Turing Award — often called the “Nobel Prize of computing” — for “developing the conceptual and algorithmic foundations of reinforcement learning.”

The legacy in reinforcement learning

Barto and Sutton are widely recognized as pioneers of the modern computational reinforcement learning (RL), a field that addresses the challenge of learning how to act based on evaluative feedback. Their work has laid the conceptual and algorithmic foundations of RL, shaping the future of artificial intelligence and decision-making systems.

The influence of RL extends across multiple disciplines, including computer science (machine learning), engineering (optimal control), mathematics (operations research), neuroscience (optimal decision-making), psychology (classical and operant conditioning) and economics (rational choice theory). Researchers in these fields continue to be profoundly shaped by the contributions of Sutton and Barto.

From NSF Grants to AI Breakthroughs

Barto’s contributions were made possible through a series of U.S. National Science Foundation-funded projects that sustained AI research long before its recent boom. His research was supported through grants from NSF programs including the National Robotics Initiative, Robust Intelligence, Collaborative Research in Computation Neuroscience, Human-Centered Computing, Biological Information Technology and Systems, Artificial Intelligence and Cognitive

Click this link to continue reading the article on the source website.