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Machine Learning News and Resources

IoT Equips Students to Develop Ways to Cut Vehicle Emissions and Inspections

August 26, 2020 · A new system using remote data transfers and machine learning could lower vehicle emissions, testing costs, and reduce the need for in-person emissions testing.

SIGGRAPH 2020: A Peek Behind LAIKA’s Stop Motion Magic

August 25, 2020 · Oscar-nominated stop-motion film studio discusses how AI and Machine Learning accelerate rotoscoping

SIGGRAPH 2020: Intel Launches oneAPI Rendering Tool Kit

August 24, 2020 · CPU leader Intel eases into the GPU-dominated rendering market with with new offering oneAPI Tool Kit

Altair Releases New Version of Altair Knowledge Studio

July 17, 2020 · Knowledge Studio now employs automated machine learning (AutoML) to optimize the modeling process.

Adapting AI to the Plant Floor

June 15, 2020 · Smart technologies enable engineers to predict failures, detect suboptimal operations and identify quality problems.

GTC Keynote: LIVE from the CEO Jensen Huang’s Kitchen

May 14, 2020 · NVIDIA CEO reveals GPU's role in the fight for COVID-19, new Ampere GPU architecture, partnership with BMW, more

Partnership Between Front End Analytics and Georgia Tech’s Aerospace Systems Design Laboratory

May 1, 2020 · Front End Analytics and ASDL will leverage their respective capabilities in digital twins, system design & simulation, advanced engineering methods, machine learning, and artificial intelligence

Simulation Blazes New Innovation Frontier

May 1, 2020 · To advance the tech, vendors are boosting simulation’s accessibility to stakeholders and bringing in more functionalities for AI, automation and multidisciplinary modalities.

Getting Started with Reinforcement Learning

March 23, 2020 · To leverage reinforcement learning, you need to be able to answer these three questions.

Verta.ai Releases ModelDB 2.0

March 18, 2020 · The software is a model versioning solution to make machine learning models reproducible.

Machine Learning Technique Sharpens Prediction of Material’s Mechanical Properties

March 17, 2020 · The scientists developed and "trained" the system to predict samples’ yield strength 20 times more accurately than existing methods.

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Should Engineers Embrace Data Science?

March 9, 2020 · Increased adoption of machine learning and AI in design and simulation will require a higher level of understanding by engineers.

AMD CPUs and Radeon GPUs Enable El Capitan Supercomputer to Break 2 Exaflops Barrier

March 6, 2020 · El Capitan is set to be the second all AMD CPU and GPU exascale system in the U.S.

Use Radar Simulation to Detect and Remove Landmines

February 28, 2020 · ANSYS Hall of Fame winner from King Abdullah University of Science and Technology uses ANSYS HFSS software and machine learning to develop a new method to spot unexploded landmines left underground.

CAASE 2020 Preview: Boosting Diversity in Computer Science and Engineering

February 25, 2020 · Simulation conference keynote speaker discusses ways to increase diversity in computer science and engineering

Designing the Future

December 1, 2019 · DE readers chime in on emerging design technologies.

Making Sense of Industrial Connectivity Trends

November 1, 2019 · Today, the industry sees M2M as a set of technologies that connect machines, devices and objects in a way that helps them exchange information without human intervention.

MathWorks Releases 2019b of MATLAB and Simulink

September 19, 2019 · In addition, R2019b introduces new products in support of robotics, new training resources for event-based modeling, and updates and bug fixes across the MATLAB and Simulink product families.

SparkFun Works with NVIDIA to Release Two New Kits

August 16, 2019 · JetBot AI Kit Powered by the NVIDIA Jetson Nano and a Materials Kit for NVIDIA’s “Getting Started on AI with Jetson Nano.”

Altair and Chroma Collaborate on Digital Twins for Electric Vehicle Propulsion Testing Systems

July 29, 2019 · This effort entails the integration of model-based development simulation methodologies with Power Hardware-in-the-Loop (PHIL) testing to achieve the performance requirements of e-propulsion systems.


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