Having a high quality software is essential in software engineering, which requires robust validation and verification processes during testing activities. Manual testing, while effective, can be time consuming and costly, leading to an increased demand for automated methods. Recent advancements in Large Language Models (LLMs) have significantly influenced software engineering, particularly in areas like requirements analysis, test automation, and debugging. This paper explores an agent-oriented approach to automated software testing, using LLMs to reduce human intervention and enhance testing efficiency. The proposed framework integrates LLMs to generate unit tests, visualize call graphs, and automate test execution and reporting. Evaluations across multiple applications in Python and Java demonstrate the system's high test coverage and efficient operation. This research underscores the potential of LLM-powered agents to streamline software testing workflows while addressing challenges in scalability and accuracy.

Transfer Learning has become one of the standard methods to solve problems to overcome the isolated learning paradigm by utilizing knowledge acquired for one task to solve another related one. However, research needs to be done, to identify the initial steps before inducing transfer learning to applications for further verification and explainablity. In this research, we have performed cross dataset analysis and network architecture repair for the lane detection application in autonomous vehicles. Lane detection is an important aspect of autonomous vehicles driving assistance system. In most circumstances, modern deep-learning-based lane recognition systems are successful, but they struggle with lanes with complex topologies. The proposed architecture, ERFCondLaneNet is an enhancement to the CondlaneNet used for lane identification framework to solve the difficulty of detecting lane lines with complex topologies like dense, curved and fork lines. The newly proposed technique was tested on two common lane detecting benchmarks, CULane and CurveLanes respectively, and two different backbones, ResNet and ERFNet. The researched technique with ERFCondLaneNet, exhibited similar performance in comparison to ResnetCondLaneNet, while using 33% less features, resulting in a reduction of model size by 46%.

L3Harris will research, develop and demonstrate the interface using data science techniques under a new multimillion-dollar contract to support DOD applications. L3Harris will perform the work in Rochester, N.Y., Melbourne, Fla., and Herndon, Va.

BREVARD COUNTY • MELBOURNE, FLORIDA -- Faculty and students from Florida Tech's Center for Advanced Data Analytics and Systems are working with a team from the U.S. Air Force Air Combat Command/Intelligence Data/Tech Futures Division and the Air Force Research Lab/Multi-Domain Sensing Autonomy Division to bring artificial intelligence and machine learning to COVID-19 planning and resource management. The goal of the Florida Tech work, which began in early April and could continue at least through the summer, is to strengthen the understanding of the effects COVID-19 has on Air Force missions and operations. "Our collaboration with Florida Tech has been critical to changing the way we think about data and present it to our commanders," said John Matyjas, ACC Chief Scientist and lead for their COVID Data Analytics Team. The CADAS team of Carlos Otero, Adrian M. Peter and Anthony O. Smith, supported by students Xavier Merino, David Elliott, Steven Wyatt, Benjamin Luchterhand, Evan Martino, Christopher Bonomi and David Nieves-Acaron, has developed capabilities to rapidly gain situational awareness and support the seamless integration of data-driven artificial intelligence (AI)/machine learning models for forecasting. "This task provides invaluable experience to our students while helping in the critical mission to better understand and utilize COVID-19-related data that ultimately can help the Air Force manage and move beyond this challenging situation," Otero said.

The Thirty-First International Florida Artificial Intelligence Research Society Conference (FLAIRS-31) was held May 21-23, 2018, at the Crowne Plaza Oceanfront in Melbourne, Florida, USA. The conference events included invited speakers, special tracks, and presentations of papers, posters, and awards. The conference chair was Zdravko Markov from Central Connecticut State University. The program co-chairs were Vasile Rus from the University of Memphis and Keith Brawner from the Army Research Laboratory. The special tracks were coordinated by Roman Barták from Charles University in Prague.

MELBOURNE, Fla. – A 22-year-old student pilot suspected of boarding a vacant passenger plane at a central Florida airport early Thursday has been charged with criminal attempt to steal an airplane, officials said. The Joint Terrorism Task Force is investigating and trying to determine a motive in the case, according to Orlando-Melbourne International Airport spokeswoman Lori Booker. She told news outlets the student pilot, whose name hasn't been released, also faces a visa violation and criminal trespassing charges. Early Thursday, a man drove to the curb outside the airport, left his car running, hopped a fence and boarded an Airbus 321 American Airlines aircraft sitting in a maintenance facility, Booker said. An avionics technician was in the plane's galley when he saw a shadow, Booker said.

This page includes forthcoming AAAI sponsored conferences, conferences presented by AAAI Affiliates, and conferences held in cooperation with AAAI. AI Magazine also maintains a calendar listing that includes nonaffiliated conferences at www.aaai.org/Magazine/calendar.php. The APA Technology, Mind, and Research Society Conference. Mind & Society will be held April 5-7, 2018 in Melbourne, Florida, USA. Other Applications of Applied Intelligent be held June 24-29, 2018 in Delft, The on Web and Social Media.

SpaceX's Dragon cargo ship docked with the International Space Station on Thursday, a day after a GPS problem prevented the capsule from coming too close. The SpaceX Dragon capsule flying the CRS-10 cargo resupply mission was captured by the International Space Station's robotic arm at 5:44 a.m. EST Thursday, Feb. 23, 2017. MELBOURNE, Fla. -- A SpaceX Dragon capsule carrying nearly 5,500 pounds of supplies and science experiments arrived safely at the International Space Station early Thursday, a day later than planned after an aborted rendezvous Wednesday. French astronaut Thomas Pesquet steered a 58-foot robotic arm to snare the unmanned Dragon at 5:44 p.m. EST, as the two spacecraft flew 250 miles above northwestern Australia. "Looks like we got a great capture," crewmate and Expedition 50 commander Shane Kimbrough radioed to flight controllers in Houston.

First commercial rocket launch from Kennedy Space Center's historic pad 39A where Apollo missions started the voyage to the moon. The SpaceX Falcon 9 rocket launched from Kennedy Space Center on Sunday, Feb. 19, 2017, en route to the International Space Station. The Dragon cargo ship was scheduled to dock with the space station Wednesday, Feb. 22, 2017, but it was pushed back to Thursday, Feb. 23, 2017. MELBOURNE, Fla. -- An unmanned SpaceX Dragon cargo ship aborted a planned Wednesday morning rendezvous with the International Space Station and will try again Thursday, NASA said. At 3:25 a.m. EST, less than three hours before the Dragon was to be captured by a robotic arm on the station, Dragon computers automatically rescheduled the approach after its navigation systems recognized something wrong in data about the station's location.

Rubins and Williams plan to conduct a spacewalk on Friday, Aug. 19, 2016, to install a new docking port that will enable the future arrival of U.S. commercial crew spacecraft. MELBOURNE, Fla. -- Astronauts ventured out Friday to install a ring on the International Space Station to receive astronauts in commercial spaceships expected to launch from Florida within the next 18 months. Expedition 48 commander Jeff Williams and flight engineer Kate Rubins hooked up the docking port in just a few hours. The port is slated for Boeing and SpaceX capsules now being developed under NASA's Commercial Crew Program. Friday's success paved the way for future spaceships.