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Artificial Intelligence

Chairman of the Board Of Avia Solutions Group Gediminas Ziemelis: With 30% of airlines’ costs accounting for jet fuel, fuel price spikes pose a risk of crisis in aviation – Big Data and AI could help reduce consumption and CO2 emissions by 2-5%

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In the face of an imminent air transport crisis, digital technologies have provided a new ramble into what aviation experts have described as sustainable and profitable ways to address the mounting environmental pressures and optimize efficiency. Of critical importance, Big Data and Artificial Intelligence (AI) represent two technological levers that airline companies will require to meet their carbon footprint targets and increase fuel efficiency.

Numerous reports have revealed that aviation accounts for more than 3% of global carbon emissions. Besides, air transport represents over 12% of the total emissions from transport-related activities. With the anticipated growth in air traffic, the general expectation is that the aviation industry will report a manifold increase in carbon footprint by 2050.

Like other transport sectors, aviation has also suffered from the adverse consequences of the intensifying economic pressure. The industry is grappling against unprecedented challenges that have pushed many airlines into a near crisis, putting them in the line of interrupted cash flows and reduced profitability. According to IATA, global airlines are now operating in a “bullish oil market,” with fuel prices surpassing $80 per barrel. Inconceivably, such spikes in fuel price and curbed supplies represent a critical problem for airlines, given that jet fuel accounts for more than 30% of airline’s costs.

Avia Solutions believe that Big Data and data science have provided new possibilities for airlines to accurately predict the amount of fuel needed for every scheduled flight and optimize flight routes to increase energy efficiency. The best scenario is to have a single analytical tool. Case in point, Southwest Airlines provides an excellent example of a carrier that has successfully invested in data analytics through its fuel consumption project.

The investment by Southwest Airlines in an analytics project is reported to have enabled the company to realize significant improvements in fuel demand forecasts for its fleet of over 700 aircraft. In this project, the airline has built eight predictive models, comprising time series algorithms and a series of neural networks. The airline’s analytics system can produce up to 9,600 fuel demand forecasts per month and over 100 airports the carrier flies to. Before Southwest Airlines adopted the analytics system, the project team generated as low as 1,200 forecasts for jet fuel demand each month. At that point, each financial analyst would take up to 3 days to create one forecast that, in most cases, turned out as inaccurate.

OpenAirlines envisions that airlines can confront their current predicaments by going the digital way. As a leading digital solutions provider in the European region, the company has created data analysis platforms that airlines can implement to collect real-time feedback during flights, monitor aircraft performance, provide advanced routing calculations, and facilitate on-time performance analysis.

Over 50 airlines worldwide have started to experience the benefits of information technologies such as Big Data and AI in their day-to-day operations. By implementing analytics platforms such as SkyBreath 360°– a big data analysis software by OpenAirlines – these airlines have reported a 2-5% decline in fuel consumption during flights and subsequent reduction in their CO2 equivalents.

Through eco-friendly digital platforms like SkyBreath 360°, airlines can either switch to alternative solutions to revitalize existing digital fuel efficiency programs or introduce novel solutions in their classical fuel efficiency programs.

Inferring to a statement by the International Panel on Climate Change (IPPC), digital technologies represent a new frontier that aviation companies can capitalize on to mitigate their carbon footprints, primarily by increasing energy efficiency while simultaneously generating other economic opportunities.

Some changes must take place for airlines to experience the expected structural evolutions and move towards greening aviation at various levels in the aircraft value chain. They must work with digital providers to accelerate progress toward digital solutions aimed at helping them attain fuel efficiency and meet their zero-carbon targets. Further, airlines must explore ways to combine AI with other digital technologies, such as the Internet of Things (IoT), to build intelligent capabilities for operations management through analytics.

Incorporating Big Data algorithms and other intelligent systems such as AI and Machine Learning (ML) during original engine manufacturing and fright data records will support sophisticated aerospace analytics and forecasting on fuel usage and recommend changes to achieve energy efficiency. Analytics platforms like Skywise, Aviator, Analytx, and R2 Data Labs by Rolls Royce collect and analyzes billions of data from various aircraft systems and provide recommendations for potential savings and optimization based on the exact flight conditions. With such systems, airlines can monitor their aircraft in real-time and identify fuel-saving opportunities to attain energy efficiency, reduce fuel consumption, and subsequently cut down their carbon emissions.

Artificial Intelligence

DDN AI400X2 Turbo Appliance Accelerates Gen AI and Inference for Data Center and Cloud by 10x

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Power Efficient Storage System Designed for AI and High-Performance Software Stacks and AI Libraries Seamlessly Accelerates End to End GPU, Compute and Network with Many Options
SAN JOSE, Calif., March 19, 2024 /PRNewswire/ — GTC, DDN Booth #816 — DDN®, the global leader in artificial intelligence (AI) and multi-cloud data management solutions, today announced the latest addition to its powerful A3I® solutions, the DDN AI400X2 Turbo. 30% more powerful than the AI400X2, the previous industry performance leader, the AI400X2 Turbo boasts faster performance and expanded connectivity options.

As AI workloads multiply across markets, GPU manufacturers continue to innovate and develop faster accelerators to handle these massive workloads. It is critically important that all data center infrastructure elements can fully facilitate their processing power. DDN’s AI400X2 Turbo delivers much better ROI for multi-node GPU clusters as well as Generative AI, Inference, AI frameworks and software libraries, with staggering 75 GB/s write speeds and 120 GB/s read speeds per 2U appliance. 
“With data centers and cloud providers making massive investments in AI infrastructures, data storage is a key enabler in accelerating ROI, increasing the efficiency of AI frameworks and software libraries, and delivering highest performance to GPUs,” said Dr. James Coomer, senior vice president of products, DDN. “DDN’s AI400X2 Turbo was designed to deliver highest efficiency, performance and ideal power and simplicity for Gen AI, inference and multi-node GPU clusters, reinforcing DDN’s position as the top choice for large-scale generative AI and large language models.”
The AI400X2 Turbo joins the lineup of A3I appliances that are deployed today and power NVIDIA DGX™ systems globally across a wide range of production environments in financial services, life sciences, healthcare and autonomous vehicle industries. Building solutions that optimize application and AI framework performance, DDN leads and accelerates the way to safe and power-efficient AI adoption with cutting-edge storage innovation.
DDN at NVIDIA GTC
A Diamond sponsor of the event, DDN will be exhibiting at NVIDIA GTC from March 18 to 21 in San Jose, California, in booth 1521 and 816. DDN will also participate in the following sessions.
Date
Time
Session Details
Tues., March 19
8:00 – 8:25 a.m. PT
How to Safely and Successfully Boost Your Data Center Productivity and ROI: Dr. James Coomer, senior vice president, Products, DDN, will demonstrate concrete technical industry examples on how to achieve full-stack and data center-scale acceleration with data storage solutions.
Tues., March 19
8:30 – 11:30 a.m. PT
AI Data Summit: Faster and Safer GPU ROI Acceleration in Data Centers and the Cloud: DDN and NVIDIA: Dr. James Coomer, senior vice president, Products, DDN, will join NVIDIA and Lambda to explore how to deploy and scale GPU infrastructures faster and how those deployments can be made more efficient and cost-effective.
Wed., March 20
2 – 2:50 p.m. PT
Getting the Storage Right for AI Applications: Dr. James Coomer, senior vice president, Products, DDN, will participate in a panel with experts from across the NVIDIA Partner Network storage partner ecosystem to provide insight on how to avoid potential issues to get the most out of storage for different AI applications.
Wed., March 20
4 – 4:25 p.m. PT
Accelerate Generative AI ROI and End-to-End ML Life Cycles for LLM by Optimizing Data Architectures: Dr. James Coomer, senior vice president, Products, DDN, will explore how data architectures can accelerate generative AI ROI and end-to-end ML life cycles for LLM.
Fri., March 22
6:00 AM – 6:50 PT
Getting the Storage Right for AI Applications: A Q&A From the EMEA Region: Sven Oehme, CTO, DDN, will participate in a panel to explore several topic areas, such as hybrid, multi-cloud, data migration, security, the impact of storage on underlying functions like check-pointing and replication, and scaling storage capacity.
On-Demand
N/A
Advanced Storage Optimization Strategies for Dynamic Production AI Workloads: James Coomer, senior vice president, Products, DDN, will explore the unique challenges to storage posed by dynamic AI workloads, including the need for high-speed data access, scalability, and adaptability in ever-changing computational environments and how to addresses these challenges head-on with architectures designed specifically for virtualized and cloud AI environments.
On-Demand
N/A
Optimizing AI Data Centers: Advanced Accelerated Data Storage Strategies for Enhanced Productivity and Efficiency: Dr. James Coomer, senior vice president, Products, DDN, will provide a technical presentation that focuses on optimizing NVIDIA GPU data centers through AI-accelerated data storage solutions.
For more information about DDN at NVIDIA GTC, please visit: https://www.ddn.com/company/events/2024-nvidia-gtc/.
About DDNDDN is a leading global provider of data storage and data management solutions at scale. We accelerate AI and High Performance Computing workflows and applications in data centers, private and public clouds, and at the edge. Thanks to our technology, over 11,000 customers realize significant efficiencies in their GPU and CPU compute farms, substantially reducing their data center power consumption and footprint. Utilizing highly optimized flash technology and AI-enabled software, our products power some of the largest and most demanding customers in the world in fields such as autonomous driving, AI chatbots, healthcare, financial services, manufacturing, energy, government, public sector, and research institutions, as well as generative AI and data analytics applications. Explore our offerings further at ddn.com.
Contact:Press Relations at [email protected] & Company, on behalf of DDN
Sharon [email protected]
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©2024 All rights reserved. DDN and A3I are registered trademarks owned by DataDirect Networks. All other trademarks are the property of their respective owners.
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Artificial Intelligence

TEHTRIS unveils exclusive background and evidence of RosyStyle Affair

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PARIS, March 19, 2024 /PRNewswire/ — TEHTRIS, a leading company in the automatic, real-time, non-human-action neutralization of cyberattacks, has just published its latest Threat Intelligence report, revealing, for the first time, the intricate details of an international fraud of almost 40 million euros, perpetrated on an online investment platform called RosyStyle.

 
 
A large-scale case targeting individuals via RosyStyle platform
After the arrest of a few members of its cybercriminal group, this case could easily have gone unnoticed. However, TEHTRIS reveals behind-the-scenes details of this fraud, centered on bogus online investments, as well as evidence that the cybercriminal group remains active.
Overview of the RosyStyle case:
Status: Despite the arrest of some members, the cybercriminals continued to defraud numerous retail investors, enticing them to transfer large sums of money to their bank accounts.Exclusive Evidence: from IP addresses to websites, TEHTRIS unveils exclusive screenshots of login pages and platform’s backend interface, as well as evidence of the criminals’ access to victims’ bank transactions.Persistent activity: beyond the initial case, the compromised source code has been adapted under several different brand names.Cybersecurity is a collective responsibility
“Our vision of cybersecurity goes far beyond the conventional role of a solution provider. We are committed to understanding, anticipating and mitigating threats to ensure the protection of public and private organizations of all sizes, as well as individuals, in the digital economy. By offering not only cybersecurity solutions, but also vital information to arm them against evolving threats, we aspire to be a trustful source of information, thus contributing to a safer digital future for all,” explains the TEHTRIS team.
About TEHTRIS
Founded in 2010, TEHTRIS is the publisher of the TEHTRIS XDR PLATFORM, hyper-automated cyber defense solution that detects and neutralizes cyberattacks in real time, without human action. With its “Security & Ethics by design” approach, TEHTRIS provides users with a holistic vision of their infrastructure, while guaranteeing data protection. TEHTRIS XDR PLATFORM is compatible with market security solutions via its APIs and integrated orchestrator. The solution monitors, analyzes and neutralizes threats for major organizations in transport, engineering, services and government. TEHTRIS keeps a constant watch on cybercrime and listens closely to its customers, helping them to minimize risks and deal with the unpredictable. In 2020, TEHTRIS raised a record €20 million in Series A funding and a second €44 million in Series B funding in 2022.
Contenu | EN | Rapport Threat Intel Feb24
CONTACT: [email protected] 
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Artificial Intelligence

Segway Collaborates with NVIDIA to Introduce NVIDIA Isaac-powered Nova Orin Developer Kit for Autonomous Mobile Robots

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LOS ANGELES, March 19, 2024 /PRNewswire/ — Segway Robotics, a global leader in autonomous mobile robot (AMR) technologies, is collaborating with NVIDIA to introduce a new developer kit which will expand the frontiers of robotic technologies. The Nova Orin Developer Kit (DevKit), unveiled at NVIDIA GTC, a global AI conference running March 18-21 at the San Jose Convention Center and online, enables creators to bring their robotic innovations to market more swiftly and efficiently.

Building upon the capabilities of the Nova Carter development robot, which Segway teamed with NVIDIA to introduce last year, the Nova Orin DevKit makes robotics development more accessible. It combines Segway’s expertise in robotic mobility solutions with NVIDIA AI and GPU accelerated computing, aiming to provide a platform for developing robotic applications that can navigate and interact with the world in ways previously unimaginable.
Responding to the developer community’s feedback on the Nova Carter, the Nova Orin DevKit has been crafted to offer an even greater level of customization without sacrificing simplicity in assembly and calibration. It is an all-in-one, fully integrated compute and sensing solution ideal for solving complex AMR challenges in large and highly dynamic environments.
Powered by the NVIDIA Jetson AGX Orin system-on-module, the Nova Orin DevKit is equipped with stereo cameras (RGBD) and high-speed surround cameras to provide 3D surround vision. It comes preinstalled with NVIDIA Isaac platform components (including sensor drivers, a nominal calibration file, as well as NVIDIA Isaac Perceptor packages), allowing users to experience the Isaac Perceptor stack right out of the box.
The Nova Orin DevKit can accelerate the development of state-of-art autonomy with powerful and proven software and hardware tools, to use with automated guided vehicles, autonomous forklifts, indoor and outdoor delivery robots, and many other applications.
“With the Nova Orin DevKit, we are pushing the boundaries of what’s possible in AI robotics,” said Tony Ho, Vice President of Business Development at Segway. “Since introducing Nova Carter, the feedback from developers has been incredibly insightful. Recognizing the critical importance of time to market in the robotics sector, the Nova Orin DevKit is our answer to accelerating innovation and success for our customers.”
The Nova Orin DevKit, alongside Nova Carter, represents an important step in reducing the development time for robotics projects. Additionally, Segway’s expertise in supply chain management is set to assist robotics companies in scaling their operations faster and more smoothly.
The Nova Orin DevKit will be available for order starting in early April. Developers, researchers, and companies interested in exploring the frontiers of AI robotics are encouraged to join this exciting journey. More details on The Nova Orin DevKit can be found at Segway Robotics website: https://robotics.segway.com/nova-dev-kit/
Media Enquiries: Ling Ding, [email protected]
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