With artificial intelligence (AI) being applied to bring autonomy to decision-making in safety-critical domains such as the ones typified in the aerospace and emergency-response services, there has been a call to address the ethical implications of structuring those decisions, so they remain reliable and justifiable when human lives are at stake. This paper contributes to addressing the challenge of decision-making by proposing a structured decision-making framework as a foundational step towards responsible AI. The proposed structured decision-making framework is implemented in autonomous decision-making, specifically within disaster management. By introducing concepts of Enabler agents, Levels and Scenarios, the proposed framework's performance is evaluated against systems relying solely on judgement-based insights, as well as human operators who have disaster experience: victims, volunteers, and stakeholders. The results demonstrate that the structured decision-making framework achieves 60.94% greater stability in consistently accurate decisions across multiple Scenarios, compared to judgement-based systems. Moreover, the study shows that the proposed framework outperforms human operators with a 38.93% higher accuracy across various Scenarios. These findings demonstrate the promise of the structured decision-making framework for building more reliable autonomous AI applications in safety-critical contexts.

-- Symmetry is an essential property in some dynamical systems that can be exploited for state transition prediction and control policy optimization. This paper develops two symmetry-integrated Reinforcement Learning (RL) algorithms based on standard Deep Deterministic Policy Gradient (DDPG), which leverage environment symmetry to augment explored transition samples of a Markov Decision Process(MDP). The firstly developed algorithm is named as Deep Deterministic Policy Gradient with Symmetric Data Augmentation (DDPG-SDA), which enriches dataset of standard DDPG algorithm by symmetric data augmentation method under symmetry assumption of a dynamical system. T o further improve sample utilization efficiency, the second developed RL algorithm incorporates one extra critic network, which is independently trained with augmented dataset. A two-step approximate policy iteration method is proposed to integrate training for two critic networks and one actor network. The resulting RL algorithm is named as Deep Deterministic Policy Gradient with Symmetric Critic Augmentation (DDPG-SCA). Simulation results demonstrate enhanced sample efficiency and tracking performance of developed two RL algorithms in aircraft lateral tracking control task. I. INTRODUCTION Symmetry property commonly exists in the motions of various mechanical systems, such as aircrafts[1], cars[2] and robotic arms[3]. The common cognition for symmetry property is that the trajectories are symmetric with respect to a reference plane. To be more specific, the knowledge of the trajectory in one symmetric side is predicable according to the knowledge of the trajectory in the other side.

Topic modelling is a prominent task for automatic topic extraction in many applications such as sentiment analysis and recommendation systems. The approach is vital for service industries to monitor their customer discussions. The use of traditional approaches such as Latent Dirichlet Allocation (LDA) for topic discovery has shown great performances, however, they are not consistent in their results as these approaches suffer from data sparseness and inability to model the word order in a document. Thus, this study presents the use of Kernel Principal Component Analysis (KernelPCA) and K-means Clustering in the BERTopic architecture. We have prepared a new dataset using tweets from customers of Nigerian banks and we use this to compare the topic modelling approaches. Our findings showed KernelPCA and K-means in the BERTopic architecture-produced coherent topics with a coherence score of 0.8463.

If you were listening to rock radio in the early nineteen-nineties, you might have heard a song called "Sober," which reflected the genre's new mood. In the wake of Nirvana's success, rock and roll was growing more sullen and more introverted, embracing dark colors and minor keys. "Sober," which was released in 1993, had a heavy neck-snapping rhythm and a howling, tormented refrain: "Why can't we not be sober? The song was a breakthrough hit for a California band called Tool, which played the Lollapalooza tour the same year, and made a sufficiently impressive racket to be elevated from the second stage to the main stage, joining Alice in Chains and Rage Against the Machine. Back then, bands such as these were often classified as "alternative," a rather vague and cringeworthy term that nevertheless turned out to be a pretty good description of Tool, which has spent the past three decades building an impressive following, and legacy, by stubbornly refusing to act the way rock bands are supposed to.

"I believe that in 50 years' time it will be possible to make computers play the imitation game so well that an average interrogator will have no more than 70% chance of making the right identification after 5 minutes of questioning." Over the course of a month, the game was played by over 1.5 million users who engaged in anonymous two-minute chat sessions with either another human or an AI language model which was prompted to behave like humans. The task of the players was to correctly guess whether they spoke to a person or to an AI. This largest scale Turing-style test conducted to date revealed some interesting facts. For example, overall users guessed the identity of their partners correctly in only 68% of the games. In the subset of the games in which users faced an AI bot, users had even lower correct guess rates of 60% (that is, not much higher than chance). While this experiment calls for many extensions and refinements, these findings already begin to shed light on the inevitable near future which will commingle humans and AI. The famous Turing test, originally proposed by Alan Turing in 1950 as "the imitation game" (Turing, 1950), was proposed as an operational test of intelligence, namely, testing a machine's ability to exhibit behavior indistinguishable from that of a human. In this proposed test, a human evaluator engages in a natural language conversation with both another human and a machine, and tries to distinguish between them. If the evaluator is unable to tell which is which, the machine is said to have passed the test.

Police respond to a shooting near the Hollywood Beach Broadwalk in Hollywood, Fla., Monday evening, May 29, 2023. HOLIDAY HORROR - Multiple people, including children, injured in Memorial Day shooting at beach boardwalk in Florida. 'VILE' - Groups call for public law school to face punishment after'evil, antisemitic' graduation speech. MUM'S THE WORD - Durham report reveals Biden and Obama knew truth of Trump collusion hoax but kept silent, Gregg Jarrett writes. FLORIDA FURY - Upcoming convention goes 18 in reaction to DeSantis law that prohibits exposing kids to'adult live entertainment.' Continue reading … BIG BROTHER - AI can spy on unsuspecting victims with'ease and precision,' experts warn.

Christen Harper, co-winner of the 2021 Swim Search, was named co–Rookie of the Year with Katie Austin following her 2022 issue appearance. The model is featured in the 2023 issue of Sports Illustrated Swimsuit. Christen Harper and Jared Goff found love in a not-so-hopeless place. The Sports Illustrated Swimsuit model and the Detroit Lions quarterback met on Raya, a dating app favored by celebrities. The couple was first linked in 2019.

Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. A Florida man drew ire over the weekend when he entered and won a women's poker tournament at the Seminole Hard Rock Hotel & Casino in the Sunshine State. Dave Hughes, 70, entered the $250 no-limit Texas Hold'em event with a prize pool of up to $17,450. Of the 83 competitors to enter the tournament, 82 of them were women, and the last one was Hughes.

Role requiring'No experience data provided' months of experience in Hollywood We are looking for someone who can provide full stack development and wants to grow their career as a developer. Someone who is smart, can think outside of the box, is logical, and works well with people. This role will expose you to many different technologies and methodologies. You will be working directly for and closely with the CIO. We are in the process of taking a garage-style environment to a corporate environment. We have an agile continuous improvement approach to this. A typical day for you will be creating SQL queries, SSRS reports, ASP.NET VB web applications (Rapid Development), automating data flow with SSIS, and tasks as assigned. You will be mostly remote, with occasional travel into the office in Hollywood, FL. You must live in the Miami/Ft.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The future of food is here. A restaurant in Florida has added several new high-tech workers to its roster. After struggling with staffing issues, the seafood place decided to invest in robots to help deliver food to tables and perform other important tasks.