The New Brunswick Innovation Foundation (NBIF) is an independent funding corporation. In January, Jeff White, its CEO, Ginette Petitpas Taylor, Minister of Official Languages and Minister responsible for ACOA, and Jenica Atwin, Member of Parliament for Fredericton, officially launched the new "NBIF Artificial Intelligence (AI) Fund". The objective of the Fund is to bring together academic researchers and companies to collaborate. New Brunswick is a Canadian province of about 750,000 inhabitants, located south of Quebec, on the Atlantic coast. Artificial intelligence is, as in Canada (and all developed countries), considered a major strategic asset for economic growth, employment and innovation.

Carnegie Mellon University researchers are challenging a long-held assumption that there is a trade-off between accuracy and fairness when using machine learning to make public policy decisions. As the use of machine learning has increased in areas such as criminal justice, hiring, health care delivery and social service interventions, concerns have grown over whether such applications introduce new or amplify existing inequities, especially among racial minorities and people with economic disadvantages. To guard against this bias, adjustments are made to the data, labels, model training, scoring systems and other aspects of the machine learning system. The underlying theoretical assumption is that these adjustments make the system less accurate. A CMU team aims to dispel that assumption in a new study, Rayid Ghani, a professor in the School of Computer Science's Machine Learning Department and the Heinz College of Information Systems and Public Policy; Kit Rodolfa, a research scientist in ML; and Hemank Lamba, a post-doctoral researcher in SCS, tested that assumption in real-world applications and found the trade-off was negligible in practice across a range of policy domains.

Some corporate technology leaders say a proposed clampdown by European regulators on the use of artificial intelligence will run up costs and stifle innovation, just as companies are starting to unlock its potential. Others say stronger oversight will help build public trust in AI systems, which have inflamed tensions over data privacy, consumer protection and misuse--especially in areas like facial recognition. Thomas Donnelly, chief information officer of software firm BetterCloud Inc., said the proposed restrictions will have a negative impact on Europe's technology sector over the long term, as companies elsewhere gain a competitive edge by continuing to develop cheaper and more efficient AI-powered applications. "I've never seen tech as transformative as AI since the internet." The European Union's executive arm on Wednesday unveiled legislation that would ban the use of certain kinds of AI systems, while limiting the use of facial recognition by police.

Every time you ask Alexa to turn on your lights or play a song, you're using AI. But AI is also put to work in more serious ways, like facial recognition software by law enforcement. Some critics say there's a troubling lack of diversity among those who create the programs, and that is causing serious harm for people of color. We're joined now by Angle Bush. ANGLE BUSH: Thank you for having me.

Composing Graph Neural Networks (GNNs) of operations that respect physical symmetries has been suggested to give better model performance with a smaller number of learnable parameters. However, real-world applications, such as in high energy physics have not born this out. We present the novel architecture VecNet that combines both symmetry-respecting and unconstrained operations to study and tune the degree of physics-informed GNNs. We introduce a novel metric, the \textit{ant factor}, to quantify the resource-efficiency of each configuration in the search-space. We find that a generalized architecture such as ours can deliver optimal performance in resource-constrained applications.

Smart grid systems are critical to the power industry, however their sophisticated architectural design and operations expose them to a number of cybersecurity threats, such as data tampering, data eavesdropping, and Denial of Service, among others. Artificial Intelligence (AI)-based technologies are becoming increasingly popular for detecting cyber assaults in a variety of computer settings, and several efforts have been made to secure various systems. The present AI systems are being exposed and vanquished because of the recent emergence of sophisticated adversarial systems such as Generative Adversarial Networks (GAN). The purpose of this short review is to outline some of the initiatives to protect smart grid systems, their obstacles, and what might be a potential future AI research direction

The United States military just inched one step closer to bringing autonomous helicopters to the battlefield. Like most strange feats of advanced military technology, this one comes from The Pentagon's Defense Advanced Research Projects Agency, better known simply as "DARPA." On Tuesday, DARPA said a UH-60A Black Hawk helicopter outfitted with its experimental Aircrew Labor In-Cockpit Automation System (ALIAS) system safely completed a test flight without anyone in the chopper. The 30-minute test flight occurred over the weekend above a U.S. Army installation at Fort Campbell, Kentucky. DARPA describes its Aircrew Labor In-Cockpit Automation System (ALIAS) as a "tailorable, drop-in, removable kit," meant to add sophisticated automation to pre-built aircraft at a fraction of the cost of upgrading individual models with new, advanced avionics and software.

Artificial Intelligence or AI – technically defined as the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment – has moved away from being a computing marvel to becoming something very common. The reason for describing the term as being very common today, is not that it has lost its technological value, but simply because of its versatility. Yashraj Bhardwaj, Partner, Petonic Infotech said, "Try to think of a task that is not capable of being completed without actual human intervention and you will find yourself struggling to find one. This is especially true of organisational functioning. From mundane tasks to complicated functions, AI is being applied successfully across the board. Governments are not averse to this development too. "The all-pervasive nature of AIFrom systems for managing emails, documents, phone inquiries, and chats to managing manual and repetitive tasks that are time-consuming and which tend to result in long hours of processing delays that affect work efficiency, AI has helped organisations to improve performance efficiency.

A new startup run by a former acting NASA administrator hopes to capitalize on the recent zeal for lunar space exploration by building robotic outposts and spacecraft to send to space near the Moon. Their goal is to create a fleet of robotic helpers that can do a variety of tasks near the Moon, such as providing internet capabilities, collecting data, refueling spacecraft, and assembling structures in lunar space. The company called Quantum Space was formed in 2021. At the helm is Steve Jurczyk, who served as NASA's associate administrator beginning in 2018, before becoming the agency's acting administrator when President Biden was inaugurated. After retiring in May, Jurczyk decided to team up with three additional entrepreneurs and experts in the space industry to create this new company based out of Maryland.

Tesla Chief Executive Elon Musk often touts the arrival of completely autonomous vehicles as imminent, but exactly how close that future is for the electric automaker remains murky. Meanwhile, the company is launching new features in a US regulatory environment that has often taken a laissez-faire approach to emerging technologies, while using terms like Full Self Driving (FSD) that critics view as misleading. Videos posted online by Tesla owners show an erratic performance in "FSD Beta," the latest update on Tesla's driver-assistance system. Cars can be seen turning awkwardly, knocking down safety cones and lurching unexpectedly. Earlier this month, Tesla initiated a recall of some 54,000 vehicles equipped with FSD Beta to disable a feature that had allowed the cars to go through a stop sign without fully halting in certain situations. The episode highlights a downside to Musk's envelope-pushing approach, which has also been credited with making electric vehicles a mainstream option in the United States and other markets.