Different parts of the globe are experiencing distinct climate challenges -- severe drought, dangerous flooding, reduced biodiversity or dense air pollution. The challenges are so great that no country can solve them on their own. But innovative startups worldwide are lighting the way, demonstrating how these daunting challenges can be better understood and addressed with AI. Here's how five -- all among the 10,000 members of NVIDIA Inception, a program designed to nurture cutting-edge startups -- are looking out for the environment using NVIDIA-accelerated applications: India-based Blue Sky Analytics is building a geospatial intelligence platform that harnesses satellite data for environmental monitoring and climate risk assessment. The company provides developers with climate datasets to analyze air quality and estimate greenhouse gas emissions from fires -- with additional datasets in the works to forecast future biomass fires and monitor water capacity in lakes, rivers and glacial melts.

The tremendous achievements of Artificial Intelligence (AI) in computer vision, natural language processing, games and robotics, has extended the reach of the AI hype to other fields: in telecommunication networks, the long term vision is to let AI fully manage, and autonomously drive, all aspects of network operation. In this industry vision paper, we discuss challenges and opportunities of Autonomous Driving Network (ADN) driven by AI technologies. To understand how AI can be successfully landed in current and future networks, we start by outlining challenges that are specific to the networking domain, putting them in perspective with advances that AI has achieved in other fields. We then present a system view, clarifying how AI can be fitted in the network architecture. We finally discuss current achievements as well as future promises of AI in networks, mentioning a roadmap to avoid bumps in the road that leads to true large-scale deployment of AI technologies in networks.

The Middle East, like the rest of the world, is moving towards a post-Covid-19 future. As things return to normal, companies are turning their attention back to issues such as how to optimise digital experiences. The Gulf Co-operation Council (GCC) nations are home to people from diverse cultures. Expatriates make up more than 85 per cent of the populations of many Gulf countries. Two hundred nationalities reside in the UAE alone.

Editor's note: This article was originally published on March 8, 2021. Wired reports a gender bias exists in AI and, in 2018, found that only 12% of AI researchers are women. When I started my career as a Data Analyst, a Data Science engineer position was not widely available in Ukraine. Self-education and getting acquainted with ML algorithms took me some time and a lot of effort. Nowadays, I work as an AI engineer at MobiDev, and the more experience I get, the more willing I am to share my experiences with people in my articles and webinars.

The graph represents a network of 1,859 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 24 April 2022 at 02:01 UTC. The requested start date was Sunday, 24 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 5-day, 15-hour, 35-minute period from Monday, 18 April 2022 at 08:25 UTC to Sunday, 24 April 2022 at 00:00 UTC.

Getting a census count wrong can cost communities big. A March 10 report from the US Census Bureau showed an overcount of white and Asian people and an undercount of people who identify as Black, Hispanic or Latino, or multiracial in 2020, a failure that has led to renewed calls to modernize the census. Progress reaching historically undercounted groups has been slow, and the stakes are high. The once-a-decade endeavor informs the distribution of federal tax dollars and apportions members of the House of Representatives for each state, potentially redrawing the political map. According to emails obtained through a records request, Trump administration officials interfered in the population count to produce outcomes beneficial to Republicans, but problems with the census go back much further.

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally sharing ample, and importantly diverse, data from multiple sites. However, such centralization is challenging to scale (or even not feasible) due to various limitations. Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here we present findings from the largest FL study to-date, involving data from 71 healthcare institutions across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, utilizing the largest dataset of such patients ever used in the literature (25, 256 MRI scans from 6, 314 patients). We demonstrate a 33% improvement over a publicly trained model to delineate the surgically targetable tumor, and 23% improvement over the tumor's entire extent. We anticipate our study to: 1) enable more studies in healthcare informed by large and diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further quantitative analyses for glioblastoma via performance optimization of our consensus model for eventual public release, and 3) demonstrate the effectiveness of FL at such scale and task complexity as a paradigm shift for multi-site collaborations, alleviating the need for data sharing.

Abstract--Artificial Intelligence (AI) has found its applications in a variety of environments ranging from data science to cybersecurity. AI helps break through the limitations of traditional algorithms and provides more efficient and flexible methods for solving problems. In this paper, we focus on the applications of artificial intelligence in authentication, which is used in a wide range of scenarios including facial recognition to access buildings, keystroke dynamics to unlock smartphones. With the emerging AI-assisted authentication schemes, our comprehensive survey provides an overall understanding on a high level, which paves the way for future research in this area. In contrast to other relevant surveys, our research is the first of its kind to focus on the roles of AI in authentication. Learning and neural networks are The traditional password-based authentication method has two main mechanisms used in AI. Learning is the process of slowly faded out due to its inadequate ...

Vumacam, an international technology company, is now building out more applications on Proof 360 for the South African market, including a system to detect license plate cloning – when two cars show up in different locations with identical plate numbers. It's also opening up the platform for third-party developers to add their own applications and distribute them to its users. Later this year, Ricky Croock Chief Executive Officer at Vumacam Johannesburg Metropolitan Area118, says that the company will switch to a new model, where customers will pay a flat fee to get access to the full network of cameras instead of just a selection. Agencies will still be able to filter the alerts to their jurisdiction, but they will also be able to view any feed in the country. The new approach will allow Vumacam to place poles and cameras irrespective of whether there are paying customers nearby.

As part of efforts towards making medications affordable and accessible in Africa, TytoCare has announced its partnership with mPharma, a technology-driven healthcare company building Africa's largest health management organisation. A statement issued by the companies on Wednesday, indicates that the partnership involves the integration of the TytoCare solution into mPharma's telehealth offerings which enables pharmacies to provide patients with enhanced remote care through in-depth, physical examinations. Both companies said the partnership will improve health care services to patients in Africa. It said the partnership was rolled out in June 2021 and that since then, over 8,000 people have been examined and treated by mPharma using TytoCare's platform. This spans around 35 pharmacies across Ghana, Kenya, Uganda, Zambia, and Nigeria, the statement said, adding that the partnership will provide solace to patients on the continent due to lack of adequate health care facilities in some countries in the region. Majority of the Primary Health Centres (PHCs) in Nigeria are either abandoned or providing very limited services due to inadequate manpower.