The integration of AI into modern critical infrastructure systems, such as healthcare, has introduced new vulnerabilities that can significantly impact workflow, efficiency, and safety. Additionally, the increased connectivity has made traditional human-driven penetration testing insufficient for assessing risks and developing remediation strategies. Consequently, there is a pressing need for a distributed, adaptive, and efficient automated penetration testing framework that not only identifies vulnerabilities but also provides countermeasures to enhance security posture. This work presents ADAPT, a game-theoretic and neuro-symbolic framework for automated distributed adaptive penetration testing, specifically designed to address the unique cybersecurity challenges of AI-enabled healthcare infrastructure networks. We use a healthcare system case study to illustrate the methodologies within ADAPT. The proposed solution enables a learning-based risk assessment. Numerical experiments are used to demonstrate effective countermeasures against various tactical techniques employed by adversarial AI.

Hub71 and e& enterprise, part of e& (formerly known as Etisalat Group), have launched the region's first AI Center of Excellence (AI CoE) in Abu Dhabi. The AI CoE will provide a platform for AI solutions to be built and scaled from Abu Dhabi. By offering resources and expertise, the center is said to transform the future of AI, support a thriving innovation ecosystem, foster local talent, and boost the country's socio-economic growth. The partnership was signed at Hub71's headquarters in Abu Dhabi by Badr Al-Olama, acting chief executive officer of Hub71, and Salvador Anglada, chief executive officer of e& enterprise. Al-Olama said: "The region's first AI Center of Excellence at Hub71 will provide a robust ecosystem for innovative technology ideas to grow and scale, and will allow startups to benefit from Hub71's community, programmes and knowledge sharing platforms." Today, we signed an agreement with #eandEnterprise to develop #AI by launching the first Artificial Intelligence Center of Excellence in the region to create a smarter & safer sustainable world through the co-creation of industry-specific and use case-driven (Al) solutions.

NetApp, a global, cloud-led, data-centric software company, announced that NetApp EF600 all-flash NVMe storage combined with the BeeGFS parallel file system is now certified for NVIDIA DGX SuperPOD. The new certification simplifies artificial intelligence (AI) and high-performance computing (HPC) infrastructure to enable faster implementation of these use cases. Since 2018, NetApp and NVIDIA have served hundreds of customers with a range of solutions, from building AI Centers of Excellence to solving massive-scale AI training challenges. The qualification of NetApp EF600 and BeeGFS file system for DGX SuperPOD is the latest addition to a complete set of AI solutions that have been developed by the companies. NetApp's portfolio of NVIDIA-accelerated solutions includes ONTAP AI to eliminate guesswork for faster adoption by using a field-proven reference architecture as well as a preconfigured, integrated solution that is easy to procure and deploy in a turnkey manner.

NetApp, a global, cloud-led, data-centric software company, announced that NetApp EF600 all-flash NVMe storage combined with the parallel file system is now certified for NVIDIA DGX SuperPOD. The new certification simplifies artificial intelligence (AI) and high-performance computing (HPC) infrastructure to enable faster implementation of these use cases. Since 2018, NetApp and NVIDIA have served hundreds of customers with a range of solutions, from building AI Centers of Excellence to solving massive-scale AI training challenges. The qualification of NetApp EF600 and BeeGFS file system for DGX SuperPOD is the latest addition to a complete set of AI solutions that have been developed by the companies. "The NetApp and NVIDIA alliance has delivered industry-leading innovation for years, and this new qualification for NVIDIA DGX SuperPOD builds on that momentum," said Phil Brotherton, Vice President of Solutions and Alliances at NetApp.

As per a report by Gartner, through 2024, large organisations will triple the capacity of their existing Robotic Process Automation (RPA) portfolios. It also predicts that 90 per cent of large organisations globally will have adopted RPA in some form by 2022, as they will look to digitally empower critical business processes through resilience and scalability while recalibrating human labour and manual effort. UiPath is one of the biggest names in the field of RPA. UiPath's Most Valuable Professional (MVP) Award is the highest recognition to its community members for their outstanding contribution, innovation, and evangelism shown in the larger automation community. In an email interaction, Nisarg Kadam, UiPath MVP 2021, working as a Senior Consultant at WonderBotz and Sishira Mishra, UiPath MVP 2021, working as Automation Architect at HP, discuss how they started their RPA journey, how UiPath helped them in attaining and honing their skills and what can we expect in the RPA domain in the future.

The Luddy Center For Artificial intelligence is set to open in August before students arrive for the fall semester. The 58,000 square foot building cost $35 million, and was paid for with a gift from Indiana University alumni Fred Luddy. The building was designed by BSA Life Structures, an architecture firm based in Indianapolis, and construction is being done by Weddle Bros Building Group, a local construction company in Bloomington. The focus of the research at the new facility will be on robotics, health and social media, according to a press release from the university. "It will highlight the strengths of IU in regards to artificial intelligence research and teaching," Interim Dean of Luddy Dennis Groth said.

It is important to note that there are several functional and operational models that enterprises are adapting in regard to CoE. The change management model focuses on emphasizing the prospective innovation that artificial intelligence can provide for business stakeholders in the organization. Central to this model is education and training of executives and business units. In addition to change management, the Sandbox approach is another central model, in which the CoE acts as the company's hub of innovation and R&D. This model emphasizes proofs of concepts and different emerging technologies.

Identify: start with the business problem, not the technology solution. Get RPA, data scientists, and business users together--ideally in the same room--to identify problems that suit AI solutions. Before doing anything else, determine whether using RPA and UiPath AI Center will solve the problem at hand. And if you do determine AI Center fits, figure out what the machine learning (ML) model should be solving. Design: the layering of AI requires design consideration.

VGP – The first artificial intelligence (AI) research center in Viet Nam was officially launched on March 31 in Ha Noi. The center was founded under the model of a mixed international research center which is jointly invested and run by HUST and Naver Group from the Republic of Korea. It will assist with basic research studies on the creation of "Make-in-Viet Nam" technologies, and the application of AI in various sectors so as to speed up digital transformation and the Fourth Industrial Revolution in the Southeast Asian country. Prof. Dr. Ta Hai Tung, Director of the Institute of Information and Communication Technology under HUST was quoted as saying that in the long run, the AI Center will serve as a platform to connect domestic and international AI operators to deploy basic research. Initially, the center recruited over 50 scientists from the HUST and other experts from universities, institutes and technology groups in the areas related to AI and AI application under the lead of Professor Ho Tu Bao.

AI is a hot buzzword right now, but with buzz always comes a whole host of misconceptions about a technology's capabilities. There's considerable confusion about what artificial intelligence can do and widespread misinformation about how it works, particularly in the area of managing legal contracts and if AI will replace lawyers. Onit recently hosted a webinar to debunk these common myths. Nick Whitehouse, General Manager of Onit's AI Center of Excellence, and Jean Yang, Vice President of Onit's AI Center of Excellence, dispelled common misconceptions about everything from will AI replace lawyers to who can benefit from AI. The goal is to help legal professionals decipher marketing-speak to determine what's genuinely AI and what's just software.