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Huawei And Dronetech Elevate Partnership To Facilitate Sustainable Farming In Austria

Huawei and Dronetech, Austria’s largest drone service provider, announced new applications resulting from their collaboration in 5G smart farming. At the Nussböckgut vineyard, a centuries-old estate in Upper Austria that was first mentioned in a document in 1323, the two companies provided an update on their pioneer project that started last year, and introduced how their 5G and IoT technologies can advance sustainability in agriculture. The two companies also hosted a panel made up of digitalization and agriculture experts discussing how technology innovation, and 5G particularly, can promote sustainable farming amid rising global concerns for food security. The two companies…

Artificial Intelligence

Faster, More Flexible Inference On GPUs Using AITemplate, A Revolutionary New Inference Engine

GPUs play an important role in the delivery of the compute needed for deploying AI models, especially for large-scale pretrained models in computer vision, natural language processing, and multimodal learning. Currently, AI practitioners have very limited flexibility when choosing a high-performance GPU inference solution because these are concentrated in platform-specific, and closed black box runtimes. A machine learning system designed for one technology provider’s GPU must be completely reimplemented in order to work on a different provider’s hardware. This lack of flexibility also makes it difficult to iterate and maintain the code that makes up these solutions, due to the hardware dependencies in…

Artificial Intelligence

Advancing Anomaly Detection With AIOps—Introducing AiDice

In Microsoft Azure, we invest tremendous efforts in ensuring our services are reliable by predicting and mitigating failures as quickly as we can. In large-scale cloud systems, however, we may still experience unexpected issues simply due to the massive scale of the system. Given this, using AIOps to continuously monitor health metrics is fundamental to running a cloud system successfully, as we have shared in our earlier posts. First, we shared more about this in Advancing Azure service quality with artificial intelligence: AIOps. We also shared an example deep dive of how we use AIOps to help Azure in the safe deployment…

AWS And SK Telecom Collaborate To Co-Develop Computer Vision AI Services

Amazon Web Services (AWS), an Amazon.com company (NASDAQ: AMZN), and SK Telecom, the information and communications technology arm of SK Group, the second largest conglomerate in Korea, today announced at Mobile World Congress (MWC) Las Vegas that the two companies will co-develop a new set of computer vision services. This collaboration aims to make it easier and more cost effective for customers to build, use, and scale computer vision applications, which enhance productivity, maintain equipment, and improve facility safety. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20220929005429/en/ Computer vision technology streamlines extraction, analysis, and classification of single image or a sequence of images to help organizations…

Lufthansa Increases On-Time Flights By Wind Forecasting With Google Cloud ML

The magnitude and direction of wind significantly impacts airport operations, and Lufthansa Group Airlines are no exception. A particularly troublesome kind is called BISE: it is a cold, dry wind that blows from the northeast to southwest in Switzerland, through the Swiss Plateau. Its effects on flight schedules can be severe, such as forcing planes to change runways, which can create a chain reaction of flight delays and possible cancellations. In Zurich Airport, in particular, BISE can potentially reduce capacity by up to 30%, leading to further flight delays and cancellations, and to millions in lost revenue for Lufthansa (as…

How Volkswagen And Google Cloud Are Using Machine Learning To Design More Energy-Efficient Cars

Volkswagen strives to design beautiful, performant, and energy efficient vehicles. This entails an iterative process where designers go through many design drafts, evaluating each, integrating the feedback, and refining. For example, a vehicle’s drag coefficient—its resistance to air—is one of the most important factors of energy efficiency. Thus, getting estimates of the drag coefficient for several designs helps the designers experiment and converge toward more energy-efficient solutions. The cheaper and faster this feedback loop is, the more it enables the designers. Unfortunately, estimating drag coefficient is an expensive and time-consuming operation that involves either a physical wind tunnel or a…

Artificial Intelligence

UK’s National Cyber Awards Crowns Darktrace PREVENT™ Technology ‘AI Cyber Product Of The Year’

Darktrace, a global leader in cyber security artificial intelligence, today announced that its PREVENT™ technology has been named ‘AI Cyber Product of the Year’ at the UK’s fourth annual National Cyber Awards. Sponsored by UK government bodies such as the National Crime Agency (NCA) and the Ministry of Defence (MoD), the National Cyber Awards recognize individuals and organizations for achieving excellence in the cyber and digital sectors. Darktrace took home the ‘AI Cyber Product of theYear’ award for the fourth year running, after winning in the category in 2019, 2020 and 2021. This year, the judges recognized Darktrace’s latest proactive security…

Saudi Data, AI Authority (SDAIA) And Ministry Of Energy Partner With IBM To Accelerate Sustainability Initiatives In Saudi Arabia Using AI

Saudi Data and Artificial Intelligence Authority (SDAIA) and IBM (NYSE: IBM) announced today the signing of a strategic agreement to drive adoption of artificial intelligence in the carbon capture and industrial domains across the Kingdom of Saudi Arabia. Announced at the second Global AI summit in the Kingdom, the first use case under this agreement will be in collaboration with the Ministry of Energy in Saudi Arabia. SDAIA, Ministry of Energy and IBM will use artificial intelligence technology to detect, map, and eventually reduce carbon emissions across the country. Dr. Majid Al-Tuwaijri, the CEO for the National Center for AI, said, “This agreement…

Robotics

MIT Engineers Build A Battery-Free, Wireless Underwater Camera

Scientists estimate that more than 95 percent of Earth’s oceans have never been observed, which means we have seen less of our planet’s ocean than we have the far side of the moon or the surface of Mars. The high cost of powering an underwater camera for a long time, by tethering it to a research vessel or sending a ship to recharge its batteries, is a steep challenge preventing widespread undersea exploration. MIT researchers have taken a major step to overcome this problem by developing a battery-free, wireless underwater camera that is about 100,000 times more energy-efficient than other…

Building A Machine Learning Platform With Kubeflow And Ray On Google Kubernetes Engine

Increasingly more enterprises adopt Machine Learning (ML) capabilities to enhance their services, products, and operations. As their ML capabilities mature, they build centralized ML Platforms to serve many teams and users across their organization. Machine learning is inherently an experimental process requiring repeated iterations. An ML Platform standardizes the model development and deployment workflow to offer greater consistency for the repeated process. This facilitates productivity and reduces time from prototype to production. When first trying ML in the cloud, many practitioners will start with fully managed ML platforms like Google Cloud’s Vertex AI. Fully-managed platforms abstract out many complexities to…

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