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Automotive simulation platform Morai secures $20.8M Series B to expand its global footprint

TechCrunch

Morai , which provides autonomous vehicle developers with automotive simulation tools to verify the safety and reliability of self-driving systems, announced today it has raised $20.8 As a result, users can test an AV driver against myriad simulation environments, regardless of the hardware they operate on. .

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Seoul Robotics introduces V2X sensor tower to automate BMW fleets at Munich manufacturing facility

TechCrunch

Seoul Robotics, an AI-based perception software company, wants to turn first- and last-mile logistics hubs for automotive and trucking into mind hives, wherein one sensor tower controls the movements of a fleet, like a conductor of an orchestra, guiding hundreds of vehicles into place.

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The road to autonomous vehicles – 5 steps to autonomous driving

Capgemini

Many automotive companies are already embedding software with varying levels of autonomous capability into their vehicles, although only a handful currently have made such features accessible to the driver. But artificial intelligence makes it significantly easier by creating what are, essentially, automated, crowdsourced truths.

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Top 10 AR Trends That Will Shape The Future Of Augmented Reality

Openxcell

Trend: 6 Augmented Reality with Artificial Intelligence It is fair to say that AR and AI are two of the most promising technological advancements of the present day. With AR, you can construct a 3D representation of the world by using visual information. Artificial Intelligence is capable of creating structures quickly.

Trends 52
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Radar Trends to Watch: June 2024

O'Reilly Media - Ideas

It trains models on corrupted versions of the initial training data, so that it is impossible to “memorize” any particular work. Copilot+ PCs are personal computers with hardware capable of running AI applications, including neural processors and GPUs. Meta has created a new family of mixed-modal models called Chameleon.

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Radar trends to watch: September 2021

O'Reilly Media - Ideas

Embedded Machine Learning for Hard Hat Detection is an interesting real-world application of AI on the edge. Wearing hard hats is essential to work site safety; this project developed a model for detecting whether workers were wearing hard hats that could easily be deployed without network connectivity. AI and Data.

Trends 122
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Digital Twins: Components, Use Cases, and Implementation Tips

Altexsoft

A digital twin system contains hardware and software components with middleware for data management in between. Hardware components. The hardware part also includes actuators, converting digital signals into mechanical movements, network devices like routers, edge servers, and IoT gateways, etc. Software components.

IoT 64