Latest news with #simulation
Associated Press
3 days ago
- Business
- Associated Press
COMSOL Announces Keynote Speakers for the COMSOL Conference 2025 Boston
BURLINGTON, Mass., Aug. 06, 2025 (GLOBE NEWSWIRE) -- COMSOL, a global leader in modeling and simulation software, announced the keynote speaker lineup for the COMSOL Conference 2025 Boston, which will be held in Boston, MA, on October 8–10. The COMSOL Conference is an event where simulation specialists and researchers can share their modeling and simulation work, and the keynote sessions will showcase how leaders from a variety of industries — including the aerospace & defense, electronics, semiconductor manufacturing, and food & beverage industries — are using the COMSOL Multiphysics® software to improve product design and optimization processes. The featured speakers will include: 'With the need to make smarter design decisions and innovate faster, modeling and simulation are increasingly important tools in an engineer's arsenal,' said Alpert. 'I'm looking forward to speaking at the COMSOL Conference 2025 and highlighting how COMSOL Multiphysics® helps NASA to solve complex engineering challenges.' Learn more about Alpert's talk as well as the other five presentations below. AltaSim Technologies: 'Creating Knowledge with COMSOL Multiphysics®" Koppenhoefer will discuss how the multifaceted nature of successful simulation-driven projects requires an approach that combines technical expertise with effective organizational support, interdisciplinary collaboration, clear problem definition, and strategic communication. Amazon Lab126: 'Sound Science: Leveraging Acoustics Simulation for Better Alexa Devices' Sun will explore how Amazon Lab126 uses advanced acoustic simulations in COMSOL Multiphysics® to design and optimize Amazon Echo products. Conagra Brands: 'From Byte to Bite: Solving Problems in the Food Processing Industry with Multiphysics Models' In this keynote talk, Lau will cover how and when multiphysics simulation can be used to solve problems in food processing, with examples that demonstrate Conagra Brands' successful uses of simulation. MIT: 'Thermal Inverse Design of Microheaters' Professor Hu will take the stage to introduce an inverse design strategy for an important class of devices: resistive microheaters, which are widely used in electronics, photonics, MEMS, and microfluidics. NASA Ames Research Center: 'Reconstructing Surface Heating from an Inflatable Atmospheric Reentry Vehicle' In Alpert's keynote talk, she will share how NASA combined in-flight thermocouple data with inverse analysis in COMSOL Multiphysics® to estimate the surface heat rate across an inflatable reentry aeroshell, ultimately contributing to improved thermal models and design tools for NASA's future aeroshell missions. TEL: 'Beyond Measurement: Simulating Nanoscale Gas Behavior in Wafer Fabrication Systems' In this talk, Paddubrouskaya will discuss how using COMSOL Multiphysics® and its add-on products, such as the Molecular Flow Module, enables accurate representation of rarified gas transport, surface interactions, and pressure distributions in narrow channels. She will also discuss how the software bridges the gap between theory and unmeasurable physical behavior. For more details on the keynote talks, and to register for the COMSOL Conference 2025 Boston, visit: About COMSOL COMSOL is a global provider of simulation software for product design and research to technical enterprises, research labs, and universities. Its COMSOL Multiphysics® product is an integrated software environment for creating physics-based models and simulation apps. A particular strength is its ability to account for coupled or multiphysics phenomena. Add-on products expand the simulation platform for electromagnetics, structural, acoustics, fluid flow, heat transfer, and chemical applications. Interfacing tools enable the integration of COMSOL Multiphysics simulations with all major technical computing and CAD tools on the CAE market. Simulation experts rely on COMSOL Compiler™ and COMSOL Server™ to distribute apps to their design teams, manufacturing departments, test laboratories, and customers throughout the world. Founded in 1986, COMSOL has 16 offices worldwide and extends its reach with a network of distributors. COMSOL, COMSOL Multiphysics, COMSOL Compiler, and COMSOL Server are either registered trademarks or trademarks of COMSOL AB. Contact: Mike Nourie (781)273-3322 [email protected] A photo accompanying this announcement is available at
NHK
01-08-2025
- Science
- NHK
Japanese researchers create tsunami simulation after Russia quake
Japanese researchers are analyzing the effects of Wednesday's powerful earthquake in Russia's Far East. They've created a simulation to shed light on why some of the largest tsunami came later. The group is led by Professor Imamura Fumihiko from Tohoku University's International Research Institute of Disaster Science. The simulation shows how tsunami waves changed course after hitting an underwater feature called the Emperor Seamount Chain. A tsunami measuring 1.3 meters was seen at Kuji Port along Japan's northeastern Sanriku coast more than five hours after the quake. The simulation suggests reflected waves reached the area at around that time. Professor Imamura says tsunami are unpredictable, and knowing when to issue and lift advisories can be difficult. He also says people should always try to follow the latest information.
Yahoo
01-08-2025
- Automotive
- Yahoo
Europe Autonomous Vehicle Simulation Solutions Market Analysis and Forecast Report 2025-2035, with Competitive Benchmarking for AVL List, Dassault Systemes, dSPACE, Hexagon, rFpro, and aiMotive
The European autonomous vehicle simulation solutions market, valued at $406.5 million in 2024, is projected to reach $1.49 billion by 2035, growing at a CAGR of 12.45%. Strict EU safety and emissions laws are driving the adoption of advanced driver-assistance systems (ADAS) and autonomous vehicles, boosting simulation solution demand. Smart-city initiatives in Amsterdam and Munich further the need for virtual testing platforms. Challenges include high software costs and GDPR-compliance. Key players include AVL List, Dassault Systèmes, and Hexagon. The market is poised for growth with technological advancements and increased investments. European Autonomous Vehicle Simulation Solutions Market Dublin, Aug. 01, 2025 (GLOBE NEWSWIRE) -- The "Europe Autonomous Vehicle Simulation Solutions Market: Focus on Application, Product, and Country-Level Analysis - Analysis and Forecast, 2025-2035" report has been added to autonomous vehicle simulation solutions market was valued at $406.5 million in 2024 and is expected to grow at a CAGR of 12.45% and reach $1.49 billion by 2035. Under strict EU safety and emissions laws, automakers and tech companies are accelerating the implementation of advanced driver-assistance systems (ADAS) and fully autonomous vehicles, which is driving growth in the European market for autonomous vehicle simulation solutions. The need for high-fidelity, reasonably priced virtual testing platforms is growing as a result of programs like the EU's Horizon Europe research funding and Euro NCAP's developing expansion of smart-city initiatives, such as Amsterdam's connected infrastructure experiments and Munich's digital traffic management, is opening up new possibilities for cloud-based simulation services housed inside European data-sovereignty frameworks. Widespread adoption is still hampered by the expensive cost of sophisticated simulation hardware and software, the difficulty of simulating various European road settings, and the strict GDPR-driven data protection regulations. The market for autonomous vehicle simulation solutions in Europe is growing quickly as OEMs, Tier-1 suppliers, and research institutions look for scalable, reasonably priced validation platforms in light of changing EU safety and data-protection laws. Built on standardised scenario libraries (OpenSCENARIO, OpenDRIVE), high-fidelity digital twins of urban, suburban, and highway environments allow for realistic testing of automatic parking, ADAS features, and complete autonomy without the cost and danger of actual prototypes. Elastic HPC back-ends with cloud-native architectures enable stakeholders to execute millions of scenarios concurrently, and simulation nodes deployed on the edge facilitate low-latency validation for use cases including connected development of AI-driven scenario generation, sensor-fusion testing, and machine-learning-based validation modules is accelerated by funding from Horizon Europe and national R&D projects. By connecting the digital and physical testing realms, smart-city projects in Munich, Amsterdam, and Stockholm offer real-world data inputs to improve virtual settings. In the meantime, investments in fortified software stacks and safe, anonymised data pipelines are driven by the strict GDPR regulations and the UNECE WP.29 cybersecurity upfront expenditures for specialised simulation software and on-premises gear, compatibility gaps across proprietary toolchains, and a scarcity of trained simulation engineers are all obstacles. These obstacles are being lessened, though, by cooperative consortiums and an increasing reliance on containerised, modular systems. In the future, Europe is expected to become a global leader in autonomous vehicle validation technology thanks to the convergence of 5G-enabled edge computing, AI-powered scenario orchestration, and pan-European certification harmonisation. Europe Autonomous Vehicle Simulation Solutions Market Trends, Drivers and Challenges Market Trends Adoption of high-fidelity digital twins and scenario libraries (OpenSCENARIO, OpenDRIVE) for realistic EU road environments Growth of cloud-native simulation platforms with scalable HPC back-ends Integration of multi-sensor (LiDAR, radar, camera) fusion testing in virtual environments Standardization efforts via Euro NCAP protocols and UNECE WP.29 guidelines Collaborative ecosystems linking OEMs, Tier-1 suppliers, and research institutions Market Drivers Stringent EU safety and emissions regulations (Euro NCAP, GDPR-compliant data handling) Horizon Europe and national R&D grants funding AV simulation R&D Smart-city deployments in cities like Munich and Amsterdam requiring connected-vehicle validation OEM cost-reduction goals for virtual validation vs. on-road testing Rising consumer demand for verified ADAS reliability and safety Market Challenges High upfront investment in specialized simulation software and on-premises hardware Complexity in modeling diverse European terrains, weather, and traffic rules Ensuring GDPR-compliant data anonymization and cybersecurity for shared simulation datasets Interoperability gaps between proprietary simulation toolchains Skills shortage in simulation engineering and validation methodologies Key Market Players and Competition SynopsisThe key players in the Europe autonomous vehicle simulation solutions market analyzed and profiled in the study include professionals with expertise in the automobile and automotive domains. Additionally, a comprehensive competitive landscape such as partnerships, agreements, and collaborations are expected to aid the reader in understanding the untapped revenue pockets in the market. Some of the prominent names in this market are: AVL List GmbH Dassault Systemes dSPACE GmbH Hexagon AB rFpro aiMotive Key Attributes: Report Attribute Details No. of Pages 124 Forecast Period 2025 - 2035 Estimated Market Value (USD) in 2025 $462.6 Million Forecasted Market Value (USD) by 2035 $1490 Million Compound Annual Growth Rate 12.4% Regions Covered Europe Key Topics Covered: Trends: Current and Future Impact Assessment AI-Driven Simulation and Digital Twins Cloud-Based and Real-time Simulation Platforms Integration of Quantum Computing in AV Simulation Advancements in Sensor and Edge Computing Simulations Integration of NeRF in Simulation Platforms Advancements in Gaussian Splatting for Real-Time Rendering Supply Chain Overview Research and Development Review Regulatory Landscape Europe Autonomous Vehicle Testing Regulations ISO and SAE Standards for Simulation and Testing Government and Policy Initiatives Supporting AV Simulation Comparative Analysis: Data-Driven vs. Traditional Simulation Methods Simulation Methodologies Utilized in Autonomous Vehicle Simulation Solutions Log-Based Simulation Methods Model-Based Simulation Methods Data-Driven Simulation Methods Hybrid Simulation Methods Application Use Cases for Simulation ADAS and Autonomous Driving Validation Smart City Traffic Simulation LiDAR, RADAR, and Camera-Based Perception Simulation Sensor Fusion and Multi-Modal Sensing Simulation Vehicle Dynamics Testing Mechanical System Response Testing Braking and Acceleration Simulation Connectivity and V2X Simulation 5G and Vehicle Communication Simulations Cybersecurity and Threat Response Testing Impact Analysis for Key Events Market Drivers Rising Adoption of ADAS and Autonomous Vehicles Increasing Demand for Cost-Effective Testing and Validation Demand for High-Fidelity Simulations Growing Concerns on Road Safety and Reduced Testing Risks Advancements in AI and Machine Learning for Simulations Market Restraints High Costs of Simulation Software and Hardware Complexity in Real-World Scenario Replication Data Privacy and Security Concerns Market Opportunities Expansion of Smart Cities and Connected Infrastructure Rising Demand for Cloud-Based Simulation Solutions Competitive Benchmarking & Company Profiles AVL List GmbH Dassault Systemes dSPACE GmbH Hexagon AB rFpro aiMotive For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment European Autonomous Vehicle Simulation Solutions Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
CTV News
30-07-2025
- Sport
- CTV News
CF Montreal defender Joel Waterman fined by MLS
CF Montréal's Joel Waterman plays during an MLS soccer match against the Philadelphia Union, Wednesday, July 16, 2025, in Chester, Pa. (AP Photo/Matt Slocum) CF Montreal defender Joel Waterman has been fined by Major League Soccer for violating the league's policy regarding simulation/embellishment. The amount of the fine was undisclosed. The incident occurred in the 73rd minute of Montreal's 3-1 win over the New England Revolution on Friday. Waterman was shown a yellow card along with New England midfielder Carles Gil. This report by The Canadian Press was first published July 29, 2025.
National Post
29-07-2025
- Business
- National Post
Gatik Unveils Arena™: Next-Generation Simulation Platform to Accelerate Commercialization of Its Autonomous Trucking Solution, Built on NVIDIA Cosmos
Article content Sorry, your browser doesn't support embedded videos. Article content Gatik Arena™ powers the creation of closed-loop, ultra-realistic simulation environments to accelerate safe, high-performing autonomous systems training and validations at scale Article content Article content MOUNTAIN VIEW, Calif. — Gatik, the leader in autonomous freight for regional logistics networks, today announced Gatik Arena™, its next-generation simulation platform designed to accelerate the development and validation of autonomous vehicle (AV) systems. Built in-house and fine-tuned to Gatik's operational and technical needs, Arena™ produces photorealistic, structured, and controllable synthetic data that directly addresses the limitations of traditional real-world data collection. Built in-house and fine-tuned to Gatik's operational and technical needs, Arena™ produces photorealistic, structured, and controllable synthetic data that directly addresses the limitations of traditional real-world data collection. Article content As Gatik scales Freight-Only (driverless) operations in 2025, Arena™ will enable safe and efficient training for its autonomous systems on a wide range of driving scenarios – from routine tasks to rare edge cases – reducing reliance on on-road testing and accelerating the safe, cost-effective commercialization of its solution for partners including Kroger (NYSE:KR), Tyson Foods (NYSE:TSN), and Loblaw (TSX:L). To develop this next-generation simulation platform, Gatik is collaborating with NVIDIA to integrate NVIDIA Cosmos World Foundation Models (WFMs), enabling the creation of ultra-high-fidelity, physics-informed digital environments for robust AV training and validation. Article content Capturing rare events in the real world is expensive, time-consuming, and often unsafe. Arena™ addresses this with high-fidelity synthetic data generation – combining real-world logs, trajectory editing, agent modeling, and multi-sensor simulation pipelines to deliver full closed-loop simulations. The result: scalable, safe, and repeatable AV testing in highly realistic digital worlds. Article content 'As the AV industry pushes toward scaled deployments, the bottleneck isn't just better algorithms – it's better, smarter data,' said Gautam Narang, Gatik's CEO and co-founder. 'Arena™ allows us to simulate the edge cases, rare events, and high-risk scenarios that matter most, with photorealism and fidelity that match the complexities of the real world.' Article content 'NVIDIA Cosmos has been purpose-built to accelerate world model training and accelerate physical AI development for autonomous vehicles,' said Norm Marks, Vice President of Global Automotive, NVIDIA. 'Our collaboration with Gatik unlocks the development of safe, reliable, ultra-high-fidelity digital environments for robust AV training and validation, and is helping to accelerate the commercialization of Gatik's autonomous trucking solution at scale.' Article content Solving the Data Bottleneck with Simulation-First Development Article content Traditional fleet testing and data logging cannot provide the scale, diversity, or reproducibility required to validate AV systems comprehensively. Arena™ addresses this challenge through an extensible modular simulation engine that leverages strengths of advanced AI techniques (NeRFs, 3D Gaussian splatting, diffusion models) to enable scaling from quick scenario augmentation to high-fidelity, full-stack simulation – ensuring each component of the autonomy pipeline is trained and validated with the most optimal and resource efficient technique. Article content Photorealistic Neural Rendering: Leveraging neural techniques like volumetric reconstruction to create high-fidelity simulations from abstract representations such as segmentation maps, LiDAR, and HD maps. Scenario Editing and Control: Support for modifying real-world logs – adjusting traffic flow, pedestrians, lighting, and road layouts to conduct controlled A/B testing. Sensor-Accurate Outputs: Multi-modal simulation across camera, LiDAR, and radar to reflect real-world sensor behavior under varied environmental conditions. Closed-Loop Simulation: Real-time interaction between ego-vehicle decisions and surrounding agents (NPCs), enabling testing of the full autonomy stack in complex interactive environments. This includes modeling vehicle dynamics, policy interactions, and latent scene evolution. Structured Synthetic Data Generation: Enables scalable, annotation-free data generation for machine learning workflows, regression testing, and safety case validation. Article content Purpose-Built for Autonomous Driving Article content Arena™ is engineered with AV-specific needs in mind, including support for difficult-to-collect or safety-critical scenarios such as: Article content Adverse Weather & Visibility: Rain, fog, snow, low-light, glare, and occlusion impacting perception. Unpredictable Road Users: Jaywalking pedestrians, weaving cyclists, lane-splitting motorcycles, animals, and erratic drivers. Challenging Road Geometry: Unprotected turns, faded markings, roundabouts, and poorly marked intersections. Dynamic Road Changes: Construction, detours, school zones, emergency vehicles, and temporary traffic shifts. Sensor & Perception Failures: Occluded signs, low-contrast objects, LiDAR noise, reflections, and degraded sensor inputs. Dense Urban Interactions: High-traffic, mixed road users, double parking, and limited maneuvering space. Article content By simulating these scenarios with spatiotemporal consistency and sensor-level realism, Arena™ reduces the need for costly, time-intensive on-road testing. Article content A Strategic Investment in Scalable Safety Article content Arena™ plays a central role in Gatik's broader simulation-first development strategy. It is tightly integrated with the company's autonomy stack and live safety case platform, allowing AV teams to validate behavior, assess system robustness, and close safety assurance gaps with unmatched efficiency. Article content 'With Arena™, we're reimagining simulation not just as a testing tool, but as a core enabler of safe, scalable autonomy,' said Gautam Narang. 'It gives us the control, realism, and flexibility we need to rapidly build confidence in our systems – and do so without compromising safety or time-to-market.' Article content Today's announcement builds on Gatik's ongoing collaboration with NVIDIA. Earlier in 2025, the two companies announced that Gatik will use NVIDIA DRIVE AGX accelerated by the DRIVE Thor system-on-a-chip running the NVIDIA DriveOS automotive operating system in the company's next-generation autonomous trucks. Article content About Gatik Article content Gatik AI Inc., the leader in autonomous freight for regional logistics networks, is revolutionizing B2B supply chains by enabling safe, consistent, high-frequency freight movement. Gatik's AI-Driven Autonomy is transforming regional logistics for Fortune 500 retailers, and in 2021 the company launched the world's first driverless commercial transportation service. Gatik's autonomous trucks are commercially deployed in multiple markets including Texas, Arkansas, Arizona, and Ontario. Gatik partners with industry leaders including Isuzu Motors, NVIDIA, Cummins, Ryder, and Goodyear. Founded in 2017 by veterans of the autonomous technology industry, the company has offices in Mountain View, Dallas-Fort Worth, Phoenix, Bentonville and Toronto. Article content Safe Harbor Statement Article content This press release contains forward-looking statements, including but not limited to, statements regarding future business strategies, plans, objectives, and anticipated performance. These forward-looking statements are based on the current expectations and beliefs of Gatik and are subject to various risks, uncertainties, and assumptions that could cause actual results to differ materially from those expressed or implied in such statements. Article content Factors that could impact these forward-looking statements include, but are not limited to, changes in market conditions, economic factors, competitive dynamics, regulatory developments, and unforeseen operational challenges. Gatik undertakes no obligation to update or revise any forward-looking statements to reflect new information, future events, or otherwise, except as required by law. Article content Article content Article content Article content
