The potential value added of artificial intelligence (AI) to businesses is undisputed, yet research confirms that most companies still struggle to capitalize on the technology. In a recent panel hosted by YPO member and Managing Director of Techstars Vijay Tirathrai and Jean-Philippe Linteau, Consul General of Canada in Dubai and the Northern Emirates, industry leaders from Canada and the Middle East shared insights on how organizations can leverage AI while mitigating risks. According to the International Data Corporation's latest release, worldwide revenues for the AI market are forecast to grow 16.4% year-over-year, reaching USD554.3 billion by 2024. Along with the U.S. and China, Canada is positioned to gain the most from this growth. "Canada has a thriving AI ecosystem, with world-leading research centers that have evolved into major hubs of AI, including Canada's supercluster project in Montreal, Scale AI," says Linteau. "Canada is now home to more than 800 AI companies, including more than 45 global tech multinationals, more than 60 investment groups, and 40-plus accelerators and incubators that focus on AI."

Sexism has become an increasingly major problem on social networks during the last years. The first shared task on sEXism Identification in Social neTworks (EXIST) at IberLEF 2021 is an international competition in the field of Natural Language Processing (NLP) with the aim to automatically identify sexism in social media content by applying machine learning methods. Thereby sexism detection is formulated as a coarse (binary) classification problem and a fine-grained classification task that distinguishes multiple types of sexist content (e.g., dominance, stereotyping, and objectification). This paper presents the contribution of the AIT_FHSTP team at the EXIST2021 benchmark for both tasks. To solve the tasks we applied two multilingual transformer models, one based on multilingual BERT and one based on XLM-R. Our approach uses two different strategies to adapt the transformers to the detection of sexist content: first, unsupervised pre-training with additional data and second, supervised fine-tuning with additional and augmented data. For both tasks our best model is XLM-R with unsupervised pre-training on the EXIST data and additional datasets and fine-tuning on the provided dataset. The best run for the binary classification (task 1) achieves a macro F1-score of 0.7752 and scores 5th rank in the benchmark; for the multiclass classification (task 2) our best submission scores 6th rank with a macro F1-score of 0.5589.

This article describes an action rule induction algorithm based on a sequential covering approach. Two variants of the algorithm are presented. The algorithm allows the action rule induction from a source and a target decision class point of view. The application of rule quality measures enables the induction of action rules that meet various quality criteria. The article also presents a method for recommendation induction. The recommendations indicate the actions to be taken to move a given test example, representing the source class, to the target one. The recommendation method is based on a set of induced action rules. The experimental part of the article presents the results of the algorithm operation on sixteen data sets. As a result of the conducted research the Ac-Rules package was made available.

This article reviews recent progress in the development of the computing framework Vector Symbolic Architectures (also known as Hyperdimensional Computing). This framework is well suited for implementation in stochastic, nanoscale hardware and it naturally expresses the types of cognitive operations required for Artificial Intelligence (AI). We demonstrate in this article that the ring-like algebraic structure of Vector Symbolic Architectures offers simple but powerful operations on high-dimensional vectors that can support all data structures and manipulations relevant in modern computing. In addition, we illustrate the distinguishing feature of Vector Symbolic Architectures, "computing in superposition," which sets it apart from conventional computing. This latter property opens the door to efficient solutions to the difficult combinatorial search problems inherent in AI applications. Vector Symbolic Architectures are Turing complete, as we show, and we see them acting as a framework for computing with distributed representations in myriad AI settings. This paper serves as a reference for computer architects by illustrating techniques and philosophy of VSAs for distributed computing and relevance to emerging computing hardware, such as neuromorphic computing.

MR Accuracy Reports recently introduced new title on "Global Cloud Machine Learning Market Report 2020 Market: Industry Analysis, Size, Share, Growth, Trends, and Forecasts 2021-2027" from its database utilizing diverse methodologies aims to examine and put forth in-depth and accurate data regarding the global Cloud Machine Learning Market Report 2020 market. The report provides study with in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status (2021-2026). Cloud Machine Learning Market Report 2020 Market research report which provides an in-depth examination of the market scenario regarding market size, share, demand, growth, trends, and forecast for 2020-2026. The report covers the impact analysis of the COVID-19 pandemic. The COVID-19 pandemic has affected export imports, demands, and industry trends and is expected to have an economic impact on the market. The report provides a comprehensive analysis of the impact of the pandemic on the entire industry and provides an overview of a post-COVID-19 market scenario.

This Machine Learning market report provides a thorough insight of the market, allowing key players to keep informed and keep their competitive advantage. It focuses on present trends by forecasting future trends, market size, and market features. Such meticulous Market Analysis creates a comprehensive picture of market policies and supports industries in making larger earnings than before. The greatest way to gain insight into the current market situation and take a position in it is to read this Machine Learning market Research Report. It strengthens corporate positions and assists various industry participants in understanding future and current market situations.

Google will jettison an auction system that forces other providers to bid for the right to be featured as a default search engine option on Android. Following a $5 billion fine and antitrust enforcement action in 2018, people in Europe have been able to choose which core apps and services they use on Android by default, instead of having to use Google products at first. Users in the region see an Android choice screen while setting up a device or after performing a factory reset. They can select their default search engine from a number of options. However, the three providers that are presented alongside Google Search have been determined by a sealed bidding process.

Scientists have demonstrated how a live cockroach equipped with a computerised'backpack' could be steered remotely for search and rescue missions. The backpack, created by a team at Nanyang Technological University in Singapore, is a small computer chip fitted with an infrared camera, carbon dioxide sensor and a temperature/humidity sensor, among other functions. In lab trials, the team fitted the backpack to a Madagascar hissing cockroach and successfully used it to find humans in a simulated disaster scene. The cockroach fitted with the backpack also had electrodes implanted in its cerci – the protruding appendages on its left and right side. Electrical currents were delivered to the two cerci via the electrodes to induce turning, allowing the scientists to control the direction it moved in.

Facility management is the part of the business that has always been under pressure to'do more for less' and to deliver the magic 10% cost savings that the core business demands of it. As businesses start the slow road to recovery and begin to emerge from the pandemic and enforced lockdowns, facility management and its associated costs will again be under the microscope. Traditionally, these cost savings have come from market testing, outsourcing, re-tendering, re-scoping, head count reduction and other areas of efficiencies that have by now, challenged the simultaneous demand for improved service quality and performance. Whist technology has played an important part of facility management for some time now, through a hunger for data to measure performance and through BIM and SMART or intelligent buildings, enabling informed decisions to be made, there is now a new opportunity for the use of technology in facility management and this is arguably the biggest opportunity yet. Facility management is involved across every organisation, and markets across both the private and public sectors and in commercial and non-commercial entities.

An AI arms race is already underway. That's the reality we have to deal with," Maas told DW, speaking in a new DW documentary, "Future Wars -- and How to Prevent Them." "This is a race that cuts across the military and the civilian fields," said Amandeep Singh Gill, former chair of the United Nations group of governmental experts on lethal autonomous weapons. "This is a multi-trillion dollar question." This is apparent in a recent report from the United States' National Security Commission on Artificial Intelligence. It speaks of a "new warfighting paradigm" pitting "algorithms against algorithms," and urges massive investments "to continuously out-innovate potential adversaries." And you can see it in China's latest five-year plan, which places AI at the center of a relentless ramp-up in research and development, while the People's Liberation Army girds for a future of what it calls "intelligentized warfare." As Russian President Vladimir Putin put it as early as 2017, "whoever ...