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Aurora and Continental pass first major hurdle in commercial self-driving trucks deal

TechCrunch

Aurora and automotive supplier Continental have wrapped up the first phase of a more than $300 million project to mass produce autonomous vehicle hardware for commercial self-driving trucks. The two companies said Friday that the design and system architecture of an autonomous vehicle hardware kit is now complete.

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Aptiv’s latest investment shows that software-defined vehicles are here to stay

TechCrunch

TTTech Auto, a Vienna-based automotive safety software provider, is one such company. TTTech Auto just scored the backing of major Tier 1 automotive tech supplier Aptiv, a sign of the supplier’s deepening interest in tech that facilitates advanced driver assistance systems (ADAS).

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Digital Twins: Components, Use Cases, and Implementation Tips

Altexsoft

This process involves numerous pieces working as a uniform system. Digital twin system architecture. A digital twin system contains hardware and software components with middleware for data management in between. Components of the digital twin system. Hardware components. Data management middleware.

IoT 64
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Grown-Up Lean

LeanEssays

But the infrastructure VP invented ways for engineering teams to self-provision hardware and self-deploy software, which made it possible for teams to retain responsibility for any problems their services encountered once it went ‘live’, not just during development. Berkley is a close neighbor of Stanford, where Google was born.

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Increasing Trust: Engineering Autonomous Vehicles that Are Safe and Secure

Strategy Driven

The Society of Automotive Engineers has defined six levels of autonomy from level 0 – 5. Instead, to achieve the full road map of autonomy will require a transition to a complete automotive platform inclusive of AI-enabled microprocessors, software, new architectures and levels of performance to be deployed scalably.

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Ray jobs on Amazon SageMaker HyperPod: scalable and resilient distributed AI

AWS Machine Learning - AI

You can also SSH into an instance in the cluster for debugging and gather insights on hardware-level optimization during multi-node training. However, another critical scenario to consider is hardware failures. As a result, you can train your models up to 40% faster.

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Towards a European GPU

Capgemini

Today, GPUs have transformed from specialized gaming hardware to indispensable tools that enable cutting-edge technology and underpin critical day-to-day services. Once the design of a processor (its system architecture and key intellectual property blocks) is mastered, it is technically possible to have it produced anywhere.