New Microprocessor Architecture for Automotive Applications  
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1) The current level of intelligence deployed in a specific IoT Edge, such as a computer within a vehicle, is either minimal or entirely absent. Recognizing this, there is a growing imperative to explore and develop new types of computing processors. The goal is to enhance the intelligence of vehicles, enabling them to fulfill specific tasks more intelligently and effectively. This pursuit aligns with the broader aim of advancing the capabilities of IoT devices, particularly within the automotive industry.

 2). Provide your view or discussion on item 1) which is given in the above

3) The sensing and control systems of a vehicle necessitate a robust computing infrastructure onboard. This ensures that a vehicle becomes a secure environment for both human occupants and transported materials. The diverse requirements for computing in this context are illustrated in the following diagram, encompassing various types of computing technologies to facilitate safety and efficiency in vehicular travel.

 

Provide your view or discussion on the above.

4. Provide your view or discussion on item 3) which is given in the above
5)  The onboard computing infrastructure in vehicles serves to manage multiple tasks simultaneously. The guidelines provided below aid in selecting the appropriate type of computing that best aligns with specific tasks. Your insights and suggestions on this matter, including your recommendations on the choices presented, would greatly contribute to enhancing safety. Here, "mu-p" denotes conventional 16/32 bit microprocessors, and "NN" represents neural networks, including Boltzmann machines.
mu-p
DSP
ARM
CUDA core
Tensor core
FPGA
ppc64le
x86
Vehicle Control
LiDar in Vehcile
Infotainment in Vehcile
Vehicle Safety
Vehicle vision
Vehicle Navigation
Passenger Safety
Sensing in Vehcile
Driver Safety
mmWave Radar in Vehcile
6) A Boltzmann Machine is indeed a generative unsupervised model designed for learning a probability distribution from a given dataset. Once trained, it can then be employed to make inferences about new, previously unseen data. In the context of modeling a Boltzmann Machine, neural networks play a crucial role. They are utilized to effectively capture and represent the complex relationships within the data, enabling the Boltzmann Machine to learn and generate meaningful insights.

Statement  :  Boltzmann Machines are becoming a necessary part of the new instruction set in Autopilot or in ADAS.
7). Provide your view and discussion on the above statement in item 6.)
8) Semiconductor  is used fin Vehicle for the following tasks
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9) Provide your thought process to find a way to use computing infrastructure in vehicles to solve issues in making vehicles safe for humans to travel or transport materials.
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10) In case, if you need  a discussion , share your thought or questions
 Name *
Your Research Problem in ADAS or in Semiconductor
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