Abstract--AI development requires high fidelity testing environments to effectively transition from the laboratory to operations. The flexibility offered by cyber arenas presents a novel opportunity to test new artificial intelligence (AI) capabilities with users. Cyber arenas are designed to expose end-users to real-world situations and must rapidly incorporate evolving capabilities to meet their core objectives. T o explore this concept the MIT/IEEE/Amazon Graph Challenge Anonymized Network Sensor was deployed in a cyber arena during a National Guard exercise. The increased complexity of the interactions between cyberspace and cyber-operators drive the complexity of the platforms emulating this relationship.

Neuromancer begins with a brilliant, highly memorable line: "The sky above the port was the colour of television, tuned to a dead channel." The novel was first published in 1984, when very few people had access to computers. Famously, William Gibson wrote the book on a typewriter. But despite this, it goes on to draw a vivid portrait of a futuristic world where data is currency and business is done in "cyberspace", though companies can also be hacked into and robbed. And, shimmering mysteriously in the background, there are powerful AIs that no one really understands.

Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. In our eighth grade classroom, her name was Hanna. On AOL Instant Messenger, she was Banana3017. I was in love with both. At school, she was funny, and kind, and she had blue eyes that made my cheeks glow the same fiery color as her hair when she looked at me.

In recent years, labor shortages due to the declining birthrate and aging population have become significant challenges at construction sites in developed countries, including Japan. To address these challenges, we are developing an open platform called ROS2-TMS for Construction, a Cyber-Physical System (CPS) for construction sites, to achieve both efficiency and safety in earthwork operations. In ROS2-TMS for Construction, the system comprehensively collects and stores environmental information from sensors placed throughout the construction site. Based on these data, a real-time virtual construction site is created in cyberspace. Then, based on the state of construction machinery and environmental conditions in cyberspace, the optimal next actions for actual construction machinery are determined, and the construction machinery is operated accordingly. In this project, we decided to use the Open Platform for Earthwork with Robotics and Autonomy (OPERA), developed by the Public Works Research Institute (PWRI) in Japan, to control construction machinery from ROS2-TMS for Construction with an originally extended behavior tree. In this study, we present an overview of OPERA, focusing on the newly developed navigation package for operating the crawler dump, as well as the overall structure of ROS2-TMS for Construction as a Cyber-Physical System (CPS). Additionally, we conducted experiments using a crawler dump and a backhoe to verify the aforementioned functionalities.

To improve cyber threat analysis practices in cybersecurity, I present a plan to build a formal ontological representation of state actors in cyberspace and of cyber operations. I argue that modelling these phenomena via ontologies allows for coherent integration of data coming from diverse sources, automated reasoning over such data, as well as intelligence extraction and reuse from and of them. Existing ontological tools in cybersecurity can be ameliorated by connecting them to neighboring domains such as law, regulations, governmental institutions, and documents. In this paper, I propose metrics to evaluate currently existing ontological tools to create formal representations in the cybersecurity domain, and I provide a plan to develop and extend them when they are lacking.

For a week or so every year, Somerset House in London becomes home to a mini-festival of experimental video games: last year's were all on the theme of love. Now Play This has been running for 10 years, and this year's theme – liminality – is especially well-suited to the medium. Video games are in-between spaces: they are fictional worlds in which real-world relationships are made; they are an art form that exists across and between technology and culture. You could make a case for the inclusion of plenty of games in this selection, and the ones that are here explore the theme from some unexpected angles. There are games here about transition, expansion, life and death, borders, and skateboarding through cyberspace.

Modeling of real-world biological multi-agents is a fundamental problem in various scientific and engineering fields. Reinforcement learning (RL) is a powerful framework to generate flexible and diverse behaviors in cyberspace; however, when modeling real-world biological multi-agents, there is a domain gap between behaviors in the source (i.e., real-world data) and the target (i.e., cyberspace for RL), and the source environment parameters are usually unknown. In this paper, we propose a method for adaptive action supervision in RL from real-world demonstrations in multi-agent scenarios. We adopt an approach that combines RL and supervised learning by selecting actions of demonstrations in RL based on the minimum distance of dynamic time warping for utilizing the information of the unknown source dynamics. This approach can be easily applied to many existing neural network architectures and provide us with an RL model balanced between reproducibility as imitation and generalization ability to obtain rewards in cyberspace. In the experiments, using chase-and-escape and football tasks with the different dynamics between the unknown source and target environments, we show that our approach achieved a balance between the reproducibility and the generalization ability compared with the baselines. In particular, we used the tracking data of professional football players as expert demonstrations in football and show successful performances despite the larger gap between behaviors in the source and target environments than the chase-and-escape task.

Artificial intelligence (AI) is playing a massive role in cyber attacks and is proving both a "double-edged sword" and a "huge challenge," according to NATO. "Artificial intelligence allows defenders to scan networks more automatically, and fend off attacks rather than doing it manually. But the other way around, of course, it's the same game," David van Weel, NATO's Assistant Secretary-General for Emerging Security Challenges, told reporters earlier this month. Cyber attacks, both on national infrastructures and private companies, have ramped up exponentially and become a focal point since the war in Ukraine. NATO said this year that a cyber attack on any of its member states could trigger Article 5, meaning an attack on one member is considered an attack on all of them and could trigger a collective response.

Our biggest undeclared war right now doesn't involve nuclear programs or any of the other technologies that usually take up headlines when it comes to this topic. In fact, our biggest war right now takes place on a completely different battlefield-Cyberspace. Cyberspace operations can be used to achieve strategic information warfare goals; an offensive cyberattack, for example, may be used to create psychological effects in a target population. There is a war on in cyberspace. Cyberspace is entirely human-made and has been designed, created, maintained, owned, and operated both by public and private stakeholders across nations. It is continually changing in response to technology transformation.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Human and machine powers are most productively harnessed by designing hybrid human- machine superintelligence (HMSI) cyber-physical networks in which each party complements each other's strengths and counterbalances each other's weaknesses. Software universe, as the web applications, application software and system software, source or machine codes, as AI/ML codes, programs, languages, libraries; V. Hardware universe, as the Internet, the IoT, CPUs, GPUs, AI/ML chips, digital platforms, supercomputers, quantum computers, cyber-physical networks, intelligent machinery and humans; How it is all represented, mapped, coded and processed in cyberspace/digital reality by computing machinery of any complexity, from smartphones to the internet of everything and beyond. AI is the science and engineering of reality-mentality-virtuality [continuum] cyberspace, its nature, intelligent information entities, models, theories, algorithms, codes, architectures and applications. Its subject is to develop the AI Cyberspace of physical, mental and digital worlds, the totality of any environments, physical, mental, digital or virtual, and application domains. AI as a symbiotic hybrid human-machine superintelligence is to overrule the extant statistical narrow AI with its branches, as machine learning, deep learning, machine vision, NLP, cognitive computing, etc. #machinelearning #deeplearning #artificialintelligence #nlp #algorithms #dataengineering