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Full-Text Articles in Life Sciences
An Exploration Of Reinforcement Learning In Complex Environments, Karsten Boettcher
An Exploration Of Reinforcement Learning In Complex Environments, Karsten Boettcher
Student Research Symposium
This research discusses the performance of artificial intelligence in completing tasks within a complex, simulated environment. The research provides an introduction into reinforcement learning and how these methods were used to train simulated vehicular agents in the video game Rocket League to perform tasks relating to common in-game objectives. Results are evaluated to consider how the agents performed and what can be learned from the results. The conclusions drawn show the bot is able to effectively complete the given tasks and shows promise for completing more difficult tasks within complex environments. Presentation Time: Thursday, 1-2 p.m. Zoom link: https://usu-edu.zoom.us/j/87293114488?pwd=QmxrWlM0TnB1RWdPbnkvRE9WZEZIZz09
Malicious Applications Of Artificial Intelligence Escalate Existing Vulnerabilities To Cyberattacks, Cayden Groicher
Malicious Applications Of Artificial Intelligence Escalate Existing Vulnerabilities To Cyberattacks, Cayden Groicher
Student Research Symposium
The democratization of artificial intelligence (AI) technology paired with existing malware technologies and social-engineering methods presents a dynamic threat that many existing cybersecurity systems are not prepared to mitigate. Malicious AI applied in cyberattacks is highly plausible in the near-term time-horizon and would be very characteristic of state and non-state actors. The subset of malware called ransomware is a likely candidate whose proliferation, when paired with AI, could have wide-reaching consequences to many individuals. NotPetya and WannaCry, are two examples of the immense financial damages that result from an effective ransomware attack. AI being used to instigate a ransomware attack …
Ai-Driven Drone Swarms Pose Multiple Security Threats To The Us Military, Andy Pierucci
Ai-Driven Drone Swarms Pose Multiple Security Threats To The Us Military, Andy Pierucci
Student Research Symposium
The United States (US) faces threats from a variety of state actors including strategic competitors (i.e. China and Russia), regional powers (i.e. Iran), weak or failed states (i.e. North Korea) and numerous non-state actors including international and domestic terrorist organizations and lone wolf radicals. As drones become more autonomous, nimbler, and less expensive they are becoming easier for state and non-state actors to manufacture or purchase and improve. Artificial intelligence (AI) driven drone swarms pose a unique threat for the US military. Advances in AI technology in the next five to ten years will expand drone capabilities, strategies, and tactics, …
China Becoming The First Artificial Intelligence Superpower Widens Tech Gap, Poses New Threats, Henry Blackburn
China Becoming The First Artificial Intelligence Superpower Widens Tech Gap, Poses New Threats, Henry Blackburn
Student Research Symposium
President Xi Jinping declared in October 2017 “We will….speed-up development of intelligent military [AI], and improve combat capabilities for joint operations based on the network information system and the ability to fight under multi-dimensional conditions. China continued in 2017 and was among the first nations to advance in a national-AI development strategy that broadly address AI’s role in economic development.This presentation is focused on these technological developments of AI and what that means for the US. Presentation Time: Wednesday, 3-4 p.m.
Artificial Intelligence And Job Automation: Challenges And Opportunities Presented For Future Workforces, Stevie Graham
Artificial Intelligence And Job Automation: Challenges And Opportunities Presented For Future Workforces, Stevie Graham
Student Research Symposium
Job Automation poses many different risks to the population. While AI can be beneficial when it comes to removing human error in some industries, it can also create new levels of concern. There are inherent risks that Artificial Intelligence (AI) presents that may result in a mass job loss worldwide in the financial industry. The finance industry faces a risk of mass job losses which could result in a hurting economy. It is estimated that by the year 2030 over 20 million jobs will be replaced by artificial intelligence. In banking and finance Artificial Intelligence is currently assisting businesses by …