A few years ago, the electric vehicle market seemed well-positioned for mainstream expansion. Companies like Tesla Reaching an incredible market positionand the US government is promoting EVs. 50% of new cars by 2030The future of the EV industry looked bright.
As EV sales surge worldwide, Demand for fully electric vehicles is now fadingThis is due to unsold inventory, production cuts by manufacturers, ambivalence among consumers, etc. Range anxiety is a major obstacle to EV adoption, highlighted by concerns over charging infrastructure and reliability issues.
In a recent consumer survey, AAA They concluded that only 18% of U.S. adults are “very likely” or “likely” to purchase an EV. This stems from consumer concerns, including high cost, range anxiety, and the overall inconvenience of charging. In other words, EV expectations are rising, and consumers are looking for improved performance, safety, and sustainability, all while reducing costs.
The emergence of the neural concept
Swiss-based Engineering Intelligence Platform Neural Concept Revolutionize product design with the integration of 3D deep learning technology.
In the rapidly evolving field of engineering and innovation, Neural Concept has emerged as a pioneering startup, reshaping the very nature of product development. Equipped with cutting-edge 3D Neural Concept leverages deep learning technology to address the pressing need for sustainability and agility in an industry where traditional tools often fail to keep up with the demands of the digital age. To overcome the shortcomings of the current EV industry, Neural Concept developed Shape, an engineering intelligence platform.
At the core of Neural Concept's approach is integrating deep learning deeply into the fabric of product development. The company's platform seamlessly combines enterprise AI capabilities with an intuitive interface, empowering engineers to create breakthrough designs with unprecedented efficiency. By harnessing the power of deep learning algorithms, Neural Concept enables organizations to not only improve product performance, but also streamline time-to-market processes and drive continuous improvement.
Neural Concept's track record speaks for itself, particularly in the automotive industry, where it has drastically reduced development times from years to just months. This transformational impact has been made possible by Neural Concept's masterful use of non-parametric 3D design data and insights gained from CAE and CAD input, opening up previously unexplored avenues of optimization.
Neural Concepts' suite of applications revolutionizes many aspects of engineering design. For example, designers can Heat Exchanger Design Applications Exceeding electric vehicle cooling and pressure drop targets.
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Furthermore, with the introduction of Shape, Improve aerodynamics Faster simulations predict hundreds of outcomes, allowing engineers to access scalar and vector quantities and integrate wind tunnel data. Optimizing rotating machinery Through simulation, engineers can test a myriad of parameters to generate maximum data and performance maps.
At the same time, the neural concept Static and Explicit Structure The application offers unparalleled capabilities in optimizing rotating machinery design for automotive applications, predicting fatigue and contact simulation with superior speed and accuracy, and revolutionizing NVH analysis in the automotive industry.
Through these products and services, Neural Concept project They found that it could reduce end-to-end product development time by 75%, facilitate product simulation by 10x, and improve certain product attributes (e.g. speed, safety, efficiency) by 30%.
What's next for Neural Concept?
Neural Concept is currently used by renowned automotive companies such as Airbus, Bosch, General Electric, Mubea, Subaru and four Formula 1 racing teams, and the company has a strong partnership with Nvidia to optimize deep learning models within its GPUs and Nvidia's CUDA software.
As a recent milestoneThe company secured $27 million in Series B funding led by Forestay Capital and other returning investors.
“Neural Concept is pioneering 3D deep learning, which is at the cutting edge of AI, and has shown incredible traction and results with clients across a variety of industries around the world,” said Deborah Pittet of Forestay Capital.
Especially with the recent “AI boom” and growing concerns over emissions from traditional gasoline vehicles, Neural Concept has a unique opportunity to deepen its current integration through machine learning and is expected to have an even greater impact on the automotive industry.
Editor's note: Opinions expressed by authors herein are their own and not those of Impakter.com. — Cover Photo Credit: Chatter snap.
