Resource Library

Learn how you apply real-time data visualization and stream processing technology in financial services environments to identify profitable opportunities and avoid compliance risks.

Machine learning is a method of data analysis that automates analytical model building. As the antennas are becoming more and more complex each day, antenna designers can take advantage of machine learning to generate mathematical models for their...

Accurately predicting future consumer behavior allows credit risk analysts, financial marketing analysts, and fraud detection teams to better deploy strategies to capitalize on opportunities while deploying strategies that act as preventative meas...

Altair Data Analytics tools support data preparation, data prediction and data visualization. In this webinar, we introduce the machine learning capabilities of the Knowledge Studio product. The webinar contains:

A brief introduction to the concept of Machine Learning
A live demo solving a probl

This presentation discusses the changes in product lifecycles in the last decade or so, introduces artificial intelligence and machine learning, and how it fits with simulation & engineering. Simulation and machine learning product lifecycles, and...

This talk presents the challenges of using 3D geometry in machine learning and demonstrates new techniques that Altair is using to teach algorithms about our 3D world.

In optimization it is sometimes desirable, but not possible to define constraints that fully reflects an expert’s requirements. This may lead to a design that does not function as intended. Machine Learning enables the user to set up subjective co...

The Altair Multiphysics platform provides a broad portfolio of solvers and tools to help engineers develop e-motor design requirements by using simulation and optimization methods. This presentation provides examples, using Altair Machine Learning...

As product complexity increases, making smarter, faster and more informed decisions to deliver exceptional results is critical. Altair’s Digital Twin Platform can help. Using CAE, IoT, machine learning and data intelligence, you can “twin” product...

Presenter: Dario Mangoni on behalf of Alessandro Tasora, Engineering Professor and Digital Dynamics Lab Leader, University of Parma

This presentation address the use of the Proximal Policy Optimization (PPO) deep reinforcement learning algorithm to train a Neural Network to control a roboti

Engineering is in almost everything we touch, a part of every human experience. It’s in the planes and trains we travel in, the cars we drive and the appliances and electronics we use every day.

Engineering advanced products requires a meticulous, Multiphysics development process, in which prod

This presentation describes how machine learning is creating another disruptive methodology for Maxion Wheels as well as the returns the company is already realizing with this new approach in terms of quality, reliability and profitability.

Consumers electric bills typically have two primary components: energy charges and demand charges. Demand charges are significantly costlier (10 times on average) than normal energy charges because of the inherent production cost to maintain the d...

Presenter: Christian Kehrer, Business Development Manager, Altair

This presentation discusses the multi-disciplinary evaluation of truck platooning, with the lead truck sending out acceleration, braking and steering signals for the following trucks to react accordingly. The benefits address

Smart Building solutions are traditionally known for being highly complex and costly, limiting their application mainly to large, commercial buildings. Over the past several years, however, rapidly changing technology has allowed thousands of new,...

Sheet-metal stamping is one of the most common manufacturing processes in the automotive industry, yet it requires experience to sort-out the most adequate and cost-efficient sub-process for every part. This presentation will demonstrate how Knowl...

"This presentation will feature the building blocks that form Altair’s Digital Twin Platform - a comprehensive and flexible toolbox that enables users to build a digital twin that best meets their specific needs.

With the help of the specific use case of TeamTao’s Autonomous Underwater Vehicle (A

Machine Learning Applications in Engineering
Dr. Shidan Murphy, Director APAC Solutions Specialists,
Data Intelligence, Altair

Whether you're designing cars or robots, or any mechatronic system in between, development time is tight, products are complex, and you've got multiple applications to consider.

France-based Socomec’s specialty is providing low-voltage energy installations, from equipment to monitoring, where energy is critical – robust and ultra-reliable solutions for buildings like datacenters, solar plants, utilities, and hospitals. Us...

Despite the prevalence of epilepsy, it can take years to diagnose correctly and treat, with monitoring being costly. A European technology leader in smart remote-monitoring medical solutions found a better way to diagnose and monitor epilepsy. It ...

Presentation by Prof. Michel Bercovier from the School of Engineering and CS, Hebrew University of Jerusalem.

Artificial Intelligence (AI) has had a bumpy history with highly fashionable periods followed by lows. Its applications in CAE , that is Mechanical Engineering and Simulations as

Presentation by Alvaro Everlet, VP Business Development at Altair.

Learn how Altair's IoT stack and architecture contributes to your value chain, IoT enables Smart Things and Processes in support of Simulation Driven Innovation. See real use cases examples and hands on demonstration.

Dr. Uwe Schramm and James Dagg, CTOs at Altair, keynote presentation at the 2018 Global ATC in Paris, France.

This presentation will illustrate the power of Altair’s simulation technology through several practical examples applied to some of the most common product development challenges in aut

Sam Mahalingam, CTO at Altair, keynote presentation at the 2018 Global ATC in Paris, France.

As a technologist I have been following the technology trends and have identified three trends that can immensely change the product innovation landscape and they are: High Performance Cloud Computing, IO

Use of machine learning for engineering applications brings field data and engineering knowledge together, resulting in more accurate decision making.

Internet of Things (IoT) is starting to mature and organisations across many sectors are facing the challenges of scaling up from small, trial deployments and proof of concepts into mainstream, high volume consumer deployments.

The SAS language compiler built into Altair SLC can run programs written in SAS language syntax without the need to install any third-party products. The software’s wide-ranging SAS language support includes core language, macros and output suppor...

Altair Panopticon processes and visualizes real-time operational and historical data. In this demonstration, you will see how to use a Panopticon real-time dashboard to monitor and analyze the performance of a group of wind farms, with each farm consisting of multiple turbines, using sensor data

Buzzwords such as IoT and Digital Twin are not new to
the digital world. They have been gaining momentum in development and production discussions as the digital transformation of production becomes more relevant. But how is it possible to truly integrate the internet of things in development and

When applied to engineering, Machine Learning can be a powerful tool to aid in a range of applications, from faster finite-element (FE) model building to optimizing manufacturing processes and obtaining more accurate results from physics-based sim...

High-performance computing (HPC) fuels scientific discovery and innovation across multiple industries. The combination of large datasets, advanced simulation techniques, and machine learning helps organizations generate insights that would not be possible without modern HPC infrastructure.

Given

Extended warranties, service contracts, out-of-warranty repair service fees, and other service packs condition customer responses to additional offers and mitigate production quality issues. They can also help modulate demand to match it with the ...

The Information Sciences Institute (ISI) is a world leader in research and development of advanced information processing, computing, and communications technologies — one of the nation’s largest, most successful university-affiliated computer res...

This biomedical webinar series highlights solutions for some of the healthcare industry's most complex challenges. Each session covers applications specific to the medical field including how to leverage multiphysics to enhance medical device desi...

When developing mobile machines, manufacturer focus is twofold:
1) Increasing a machine’s productivity and operator comfort
2) Improving its energy efficiency.
To achieve these objectives, it is crucial to have an optimized system-of-systems and seamless interaction between
subsystems. But how c