Multi-agent systems, where specialized agents collaborate to solve a shared task hold great potential, from increased modularity to simulating complex environments. However, they also have a major caveat -- a single agent can cause the entire system to fail. Consider a simple game where the knowledge to solve the task is distributed between agents, which share information in a communication channel. At each round, any of the agents can terminate the game and make the final prediction, even if they are uncertain about the outcome of their action. Detection of such rogue agents $\textit{before they act}$ may prevent the system's failure. In this work, we propose to $\textit{monitor}$ agents during action prediction and $\textit{intervene}$ when a future error is likely to occur. To test our approach, we introduce WhoDunitEnv, a multi-agent collaboration environment that allows modular control over task complexity and communication structure. Experiments on two variants of WhoDunitEnv and the GovSim environment for resource sustainability show that our approach leads to substantial performance gains up to 17.4% and 20%, respectively. Moreover, a thorough analysis shows that our monitors successfully identify critical points of agent confusion and our interventions effectively stop agent errors from propagating.

Indika AI has been recognized with the Best AI company of the year award at the Global Artificial Intelligence Summit & Awards organized by the All India Council For Robotics & Automation. The awards recognize Indika AI for working towards real challenges adversely affecting AI acceleration and data privacy in India. Indika AI is an end-to-end data infrastructure company working closely with the Indian AI ecosystem comprising academia, corporates, startups, government department, and authorities to accelerate data-centric AI development. India AI took real efforts in building a synthetic data engine that enables anonymization as well as synthesizing the datasets with high quality to foster increased (while safe) collaboration for AI acceleration across Industries and all data types, a platform for programmatic data labeling as well as speech recognition/ transcription for Indic language data, and a platform to evaluate the dataset quality and fix poor quality issues, biasedness, etc. Indika AI's mission is to make India the global hub for AI data solutions leveraging state-of-the-art Technologies such as data-centric AI, synthetic data, and programmatic data labeling as well as the large workforce of India and generate sustainable earning opportunities for Indian Youth. About GAISA: An event organized by the All India Council For robotics & Automation is an effort to recognize & highlight the impact & importance of Artificial intelligence today.

Pegasystems Inc., the low-code platform provider that builds agility into the world's leading organizations, announced its 2022 Pega Community Hackathon is now open for registration. In its third year, this global contest invites both professional and citizen developers to compete in building meaningful new apps that help solve real-world business and social problems that continue to emerge. Open to the entire Pega community, individuals and teams will leverage the intuitive, low-code Pega Platform environment throughout the development process -- from ideation and design to building and execution. Pega will offer extensive technology resources and mentorship, including office hours access with Pega experts for guidance and technical help. Registered participants can start building today and must complete their projects by October 7, 2022 with a solution concept and prototype that's ready for implementation.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. SAN FRANCISCO – VentureBeat is proud to announces the winners of the 4th Women in AI Awards and its 4th AI Innovation Awards. The Women in AI Awards honors women leaders, mentors, researchers and entrepreneurs who are transforming the AI industry. This year, over 200 women were nominated over five categories, and we're delighted to introduce our winners. VentureBeat's 4th AI Innovation Awards recognizes and awards noteworthy, compelling, innovative and successful AI initiatives in five categories: Conversational AI, Applied AI, AI on the Edge, AI for Good and AI Innovators (startups less than two years old and with no more than $30 million in funding).

Philadelphia, PA–March 29, 2021–The Business Intelligence Group today announced that Dynam.AI was named a winner in its Artificial Intelligence Excellence Awards program. Honored for their computer vision expertise, Dynam.AI helps solve the world's most complex and critical business challenges with their suite of machine learning solutions. Developed by a team of leading AI scientists, physicists, and engineers, Dynam.AI uses Vizlab their workbench of industry-standard and proprietary AI models and tools to empower customers with the highest levels of precision and accuracy for their computer vision applications while reducing development costs by up to 60%. Vizlab enables the rapid deployment of proven machine learning models addressing a variety of challenging computer vision problems across industries and complex data sets. "We are honored to be this year's winner of the Business Intelligence Group Artificial Intelligence Excellence Award for Computer Vision," said Andreas Roell, chief executive officer at Dynam.AI.

The ROS Awards are the Oscars of the ROS world! The intention of these awards is to express recognition for contributions to the ROS community and the development of the ROS-based robot industry, and to help those contributions gain awareness. Measures have been taken to prevent as much as possible batch voting from a single person. The Best ROS Software category comprises any software that runs with ROS. It can be a package published on the ROS.org repo of just a software that uses ROS libraries to produce an input.

… awards first place to See-Thru-AI, a Chicago startup that helps companies using AI and machine learning to navigate complex regulations.

NEXCOM, a leading supplier of network appliances, has been selected to be part of 2021 Titanium Level in Intel Network Builders Winners' Circle Program. In addition, earlier this year NEXCOM's high-performance cyber security and edge computing appliance – NSA 7150 – has been verified as Intel Select Solution for Network Function Virtualization Infrastructure (NFVI). Both of these achievements strengthen NEXCOM's partnership with Intel. Insights: TrustNFT: Is NFT The Future Of Finances? The Intel Network Builders Winner's Circle Program screens over hundreds of applications from hardware and software companies to form an ecosystem partners with the best offers of network solutions.

Flocks of robotic birds are taking to the skies of China equipped with high-tech surveillance technology, according to a report. The so-called "spy bird" programme, first reported by the South China Morning Post, is already in operation in at least five provinces and provides another tendril in the country's already advanced surveillance network. The dove-like drones are being developed by researchers at Northwestern Polytechnical University in the Shaanxi province, who have previously worked on stealth fighter jets used by China's airforce. One of the researchers involved said the roll out of the technology was still in its early stages. "The scale is still small," said Yang Wenqing, an associate professor at the university's School of Aeronautics who worked on the programme.

DEEP AERO has announced today that it will give passenger drones as a reward to three lucky winners from the pool of all contributors who contribute 1 ETH or more to its pre-sale campaign, subject to the pre-sale campaign getting fully subscribed*. "The use of unmanned aerial vehicles is increasing exponentially," says Mr. Gurmeet Singh, CEO of DEEP AERO. "We're heading towards a future in which millions of drones will fly billions of flights. At some point in the not-too-distant future, fleets of commercial drones are expected to swarm across the skies. Current airspace management and air traffic flow management systems don't have the capabilities to handle the type of operations relevant to drones. In addition, the anticipated traffic density of drones is far beyond the capabilities of current air traffic management systems."