An Agentic AI Workflow (AAW), also known as an LLM-based multi-agent system, is an autonomous system that assembles several LLM-based agents to work collaboratively towards a shared goal. The high autonomy, widespread adoption, and growing interest in such AAWs highlight the need for a deeper understanding of their operations, from both quality and security aspects. To this day, there are no existing methods to assess the influence of each agent on the AAW's final output. Adopting techniques from related fields is not feasible since existing methods perform only static structural analysis, which is unsuitable for inference time execution. We present Counterfactual-based Agent Influence Ranker (CAIR) - the first method for assessing the influence level of each agent on the AAW's output and determining which agents are the most influential. By performing counterfactual analysis, CAIR provides a task-agnostic analysis that can be used both offline and at inference time. We evaluate CAIR using an AAWs dataset of our creation, containing 30 different use cases with 230 different functionalities. Our evaluation showed that CAIR produces consistent rankings, outperforms baseline methods, and can easily enhance the effectiveness and relevancy of downstream tasks.

Did you know India had an exclusive centre for robotics since 1986? The Centre for Artificial Intelligence and Robotics (CAIR) lab started with just three staff in a tiny office in Bengaluru. Today, the centre has more than 300 employees. CAIR is involved in research and development in AI, robotics, command and control, networking, information and communication security, along with the development of mission-critical products for battlefield communication and management systems. CAIR was appraised for Capability Maturity Model Integration (CMMI) Maturity Level 2 in 2014 and has ISO 9001:2015 certification.

In a development expected to help diagnose Covid-19 in suspected patients faster, the Defence Research and Development Organisation (DRDO) and Centre for Artificial Intelligence and Robotics (CAIR) have created an artificial intelligence (AI) algorithm to help detect Covid-19 from chest X-rays. According to its developers, the tool named Atman AI used for Chest X-ray screening has shown an accuracy rate of 96.73 percent. Dr. U K Singh, Director, CAIR, DRDO said the development of the diagnostic tool was part of DRDO's effort to help clinicians and partners on the frontline to help rapidly diagnose and effectively treat COVID-19 patients. "Given the limited testing facilities for coronavirus, there is a rush to develop AI tools for quick analysis using X-rays. The tool will help in automatically detecting radiological findings indicative of Covid-19 in seconds, enabling physicians and radiologists to more effectively triage the cases, especially in an emergency environment," he explained.

Ben Wallace, the UK's Secretary of Defence, went on record to explain the Defense Command Paper, emphasising reducing the human element while reinforcing defences. This was proposed to be done with the aid of artificial intelligence. While deploying a defence review, the Secretary of Defence highlighted the necessity for a "digital backbone" that can be established by sharing data over cloud technologies. Orating a speech, Ben Wallace also pointed out that it's understandable to focus on the number supporting the defence forces, but that also means deploying them at war zones with "Snatch Land Rovers" and tanks. However, on the other hand, the enemy is already advanced and has developed new ways to tackle such elements.

The next level of strategic cooperation between India and Japan has become apparent with the news that India and Japan are to work together to introduce artificial intelligence (AI) and robotics in the defence sector. Chatting with Indian media last month, said, "You should expect to see increased bilateral cooperation between us (India and Japan) to develop unmanned ground vehicles (UGV) and robotics." This cooperation is important considering the increasingly aggressive stance by China and China's assistance to Pakistan in terms of AI and robotics. Recent reports indicate China has secretly sold its Wing Loong-I strike-capable medium-altitude, 5000 km range, 200 kg payload drone to Pakistan. Wing Loong-I is China's latest armed drone that conducted firing exercises during January 2018.

Artificial Intelligence (AI) is the new standard in Information Technology (IT) and Apollos University is embracing it in its Information Technology program. GREAT FALLS, MT, UNITED STATES, January 3, 2018 – Apollos University announces that students will now be required to apply concepts of Artificial Intelligence (AI) to all capstone projects in the Bachelor of Science in IT degree program. "AI is the new standard in IT, not separate from it. It is increasingly becoming more prevalent in our lives and the workplace. AI is capable of delivering extraordinary features and improvements, that we have not yet fully comprehended. The reality is that, we need to learn to co-exist with machines. Not preparing our students for such a transformation, is doing them a disservice" states Nischal Chandra, the chairman of the IT department.

The University of Agder invites applications for a full-time permanent position as Professor at the Department of Information and Communication Technology, Faculty of Engineering and Science. The position is currently located in Grimstad, Norway. The starting date is negotiable. The primary aim of this position is to strengthen the Centre for Artificial Intelligence Research (CAIR), to be hosted by the Department of ICT. The vision of CAIR is to provide an attractive environment for cutting-edge research on artificial intelligence (AI), focusing particularly on machine learning.

The Department of ICT has several large and active research groups in Information and Communication Technology including 12 Professors, 15 Associate Professors, 10 Assistant professors and about 15 Research Fellows on the PhD programme in ICT. The department pursues a variety of research interests, focusing especially on Wireless Communications and Embedded Systems, Artificial Intelligence, Data Analytics, Crisis Management, eLearning and eHealth. The department has successfully led a number of large research projects funded by the Research Council of Norway; the EU research programmes FP7 and H2020, as well as national and international industries. CAIR opened on March 2nd, 2017. At startup the centre will host 13 researchers, whose most prominent research contributions can be found within: bandit algorithms, Bayesian learning, probabilistic reasoning, ant colony optimization, pattern recognition, learning automata, natural language processing, and stochastic optimization.

The Council for Scientific and Industrial Research (CSIR) has partnered with five South African universities to launch the Centre for Artificial Intelligence Research (CAIR) on 24 May 2016. Based at the CSIR and chaired at the University of Cape Town, the centre aims to build research capacity in the field of artificial intelligence, and to ensure work reaches commercialisation. CAIR will also ensure artificial intelligence research is spread beyond the traditional institutions of the field. The five partner universities, or collaboration nodes, are the University of Cape Town (UCT), the University of Pretoria (UP), Stellenbosch University (SU), the University of KwaZulu-Natal (UKZN) and North-West University (NWU). The centre is funded by the CSIR, the Department of Science and Technology (DST), and the participating universities, and the wide research scope of the programme is evident by the variety of university departments involved.