AI TECH,SOFTWARE,FUTURE TECH
Altair | September 20, 2022
Altair, a global leader in computational science and artificial intelligence (AI), announced the latest updates to its simulation portfolio, Simulation 2022.1. These updates enable more efficient, innovative products by applying advanced simulation, cloud-based computing, and optimization for cleaner, more sustainable product lifecycles. Simulation 2022.1 helps companies meet corporate social responsibility (CSR) objectives, drive better, earlier design decisions, and brings the power of open-source technology to users around the world.
Transforming Sustainable Product Design
Simulation 2022.1 brings a variety of updates that bolster Altair's sustainable product design capabilities. Updates to Altair Material Data Center, OptiStruct, Multiscale Designer, HyperWorks, and SimLab will help companies meet their lightweighting objectives, design requirements, budget constraints, and regulatory requirements. These updates also bolster Altair's topology optimization, lightweighting, design certification, and high-performance computing (HPC) capabilities, allowing users to save resources, scale workloads, and reduce project complexity as they design greener, more sustainable products.
Drive Better-Informed Decisions Earlier
Simulation 2022.1 also helps users apply simulation earlier in design lifecycles so they can reduce errors, save time and money, and access tools in a seamless, connected environment. In this update, enhancements have been introduced to Altair Inspire for an improved design creation and optimization experience, as well as updates to Altair SimSolid for lightning-quick simulation, reviewing design scenarios, and parametric modeling upgrades.
Additionally, this update enriches Altair's modeling and visualization capabilities. A new HyperWorks workflow streamlines the process of building a reduced order model for early conceptual optimization. Simulation 2022.1 lets users simplify models and perform topology optimization with quicker turnaround times, facilitating more design studies. Simulation 2022.1 also strengthens model interpretation with 1D inflation capabilities.
Expanding the Power of Open-Source Technology
For more than 30 years, the world's top industrial, research and development, and educational organizations have employed Altair Radioss to solve complex linear and nonlinear engineering problems. Now, Radioss is available as an open-source solver – called OpenRadioss – that will bring together a worldwide community of experts and users to make the world a safer, greener place.
Additionally, Simulation 2022.1 brings additional open-source updates. Within the new UI Designer toolkit in Inspire, users can assemble designs with predefined objects, modify, and save designs as a Python code skeleton that can be further developed.
Lastly, the latest update encourages users to take advantage of Altair Exchange, a collaborative forum where users can utilize shared spaces for fine-tuning models, finding better scripts, optimizing virtual workspaces and workflows, and more.
Altair is a global leader in computational science and artificial intelligence (AI) that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI. Altair enables organizations across all industries to compete more effectively and drive smarter decisions in an increasingly connected world – all while creating a greener, more sustainable future.
SOFTWARE,FUTURE TECH,COMPUTER VISION
ClearPoint Neuro | September 20, 2022
ClearPoint Neuro, Inc., a global therapy-enabling platform company providing navigation and delivery to the brain, today announced that it has obtained 510(k) clearance for version 2.1 of the ClearPoint Neuro Navigation software.
Version 2.1 of the ClearPoint System is intended to provide stereotactic guidance for the placement and operation of instruments or devices during planning and operation of neurological procedures within the MRI environment and in conjunction with MR imaging. The ClearPoint System is intended as an integral part of procedures that have traditionally used stereotactic methodology. These procedures include biopsies, catheter and electrode insertion, including deep brain stimulation (DBS) lead placement. The System is intended for use only with 1.5 and 3.0 Tesla MRI scanners.
The main customer benefits of the 2.1 software include optimizing ease of use for clinicians, enhancing visualization of medical image datasets, providing a new set of trajectory planning tools, introducing new workflow tools for gene therapy clinical trials, and numerous performance and technical improvements which will help to streamline and optimize the clinical workflow. The software is currently in limited market release and will be deployed initially to ClearPoint customers who participate in the ClearPoint “Pathfinder” Program. Pathfinder is designed to support and cultivate first-hand discovery of innovative developments that may facilitate optimal patient care by providing participating customer sites with access to ClearPoint Neuro’s cutting-edge technology.
“The release of the ClearPoint 2.1 Software is a fantastic achievement for the company and provides our customer base with a significant set of software-related improvements which will enhance the usability of the product and optimize the clinical workflow. In addition to offering new image visualization capabilities and performance improvements, this version offers a rich set of functionalities which will strengthen an already comprehensive set of trajectory planning and guidance tools within the software. Over the years of developing an image-guided platform for neurosurgical procedures, we have paid very close attention to the differing workflows that clinicians have used with our system and have incorporated several important features in this version which we believe will better optimize their intraoperative clinical workflows. More importantly, this version has introduced numerous functional building blocks which we hope will lay the groundwork for significant future growth in the areas of preoperative planning, medical image visualization, and automatic image fusion. Our goal with this release is to continue to offer our customers a world-class image-guided planning and navigation software system that they feel confident using for preoperative planning and intraoperative guidance.”
Tim Orr, Vice President of Software Engineering at ClearPoint Neuro
The Principal Software Architect for ClearPoint Neuro, Phil Hotte commented: “This latest release builds on the tremendous success of the ClearPoint software, including many new features and improvements suggested by our users while also setting the stage for the next generations of ClearPoint products. This is a great achievement for us, but this is still just the beginning. Our path forward will take full advantage of the capabilities of the recently cleared ClearPoint Maestro™ Brain Model, giving us a new engine to drive further innovation in all our products.”
About ClearPoint Neuro
ClearPoint Neuro’s mission is to improve and restore quality of life to patients and their families by enabling therapies for the most complex neurological disorders with pinpoint accuracy. Applications of the Company’s current product portfolio include deep brain stimulation, laser ablation, biopsy, neuro-aspiration, and delivery of drugs, biologics, and gene therapy to the brain. The ClearPoint® Neuro Navigation System has FDA clearance, is CE-marked, and is installed in over 60 active sites in the United States, Canada, and Europe.
AI TECH,GENERAL AI
Intel | September 17, 2022
Arm, Intel and Nvidia have jointly authored a paper describing an 8-bit floating point (FP8) specification and its two variants E5M2 and E4M3 to provide a common interchangeable format that works for both artificial intelligence (AI) training and inference. This cross-industry specification alignment will allow AI models to operate and perform consistently across hardware platforms, accelerating AI software development.
Computational requirements for AI have been growing at an exponential rate. New innovation is required across hardware and software to deliver computational throughput needed to advance AI.
One of the promising areas of research to address this growing compute gap is to reduce the numeric precision requirements for deep learning to improve memory and computational efficiencies. Reduced-precision methods exploit the inherent noise-resilient properties of deep neural networks to improve compute efficiency.
Intel plans to support this format specification across its AI product roadmap for CPUs, GPUs and other AI accelerators, including Habana Gaudi deep learning accelerators.
FP8 minimizes deviations from existing IEEE 754 floating point formats with a good balance between hardware and software to leverage existing implementations, accelerate adoption and improve developer productivity.
The guiding principle of this format proposal from Arm, Intel and Nvidia is to leverage conventions, concepts and algorithms built on IEEE standardization. This enables the greatest latitude for future AI innovation while still adhering to current industry conventions.