Editor’s Note: The National Highway Traffic Safety Administration (NHTSA), an agency of the Department of Transportation (DoT), released last November its advance notice of proposed rulemaking (ANPRM) for autonomous vehicles. We asked Egil Juliussen, a veteran automotive industry analyst and EE Times’ resident columnist (Egil’s Eye”), to break it down for us. In the following article, he spells out how NHTSA defines autonomous vehicles, what the agency has included in its safety framework,” and what questions NHTSA wants the AV industry to answer to improve its ANPRM.

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Piher Sensing Systems, an Amphenol company

Ongoing advances focus on scaling quantum interconnects that are a critical element of the long-term quantum practicality for any company that is working in quantum research. With Horse Ridge II, Intel wants to make quantum computers less complex and more practical with scalable interconnects. Intel pointed out that as the number of qubits increases, not dealing with the complexities of connecting them is like owning a sports car and being constantly stuck in traffic. Intel expects that Horse Ridge II will be able to offer higher fidelity and lower power consumption, bringing us closer to developing a scalable quantum computer.

The higher the resolution, the better the inferenceInference is directly related to information load, said Anand. So, when a machine has been trained with more information, the higher the likelihood that you can infer it correctly.”

Phil Koopman, co-founder of Edge Case Research and professor at Carnegie Mellon University, explained in a recent EE Times interview that life would be easier if everything in the world around us were automated. But in reality (where we’ll all be living for a long time to come) is much messier. Human drivers will have to deal with automated features here and there, their use often restricted to designated operational design domains (ODDs).

Galileo is the European Global Navigation Satellite System (GNSS), developed to provide position, navigation, and weather information to users around the world. Unlike other GNSS systems, Galileo is managed by a civil body, the European Space Agency (ESA), and has been designed in response to the needs of different user communities.

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The higher the resolution, the better the inferenceInference is directly related to information load, said Anand. So, when a machine has been trained with more information, the higher the likelihood that you can infer it correctly.”

Phil Koopman, co-founder of Edge Case Research and professor at Carnegie Mellon University, explained in a recent EE Times interview that life would be easier if everything in the world around us were automated. But in reality (where we’ll all be living for a long time to come) is much messier. Human drivers will have to deal with automated features here and there, their use often restricted to designated operational design domains (ODDs).

Galileo is the European Global Navigation Satellite System (GNSS), developed to provide position, navigation, and weather information to users around the world. Unlike other GNSS systems, Galileo is managed by a civil body, the European Space Agency (ESA), and has been designed in response to the needs of different user communities.

Critical applications need to know how much confidence they can place on their data that are acquired by receivers. The protection level describes the maximum position error and quantifies the reliability of the system. This level is influenced by all sources of error that commonly affect GNSS solutions.

But just as 3D NAND stacking will eventually hit limits, so will the gapfill techniques and ALD technology, added Puhakka. It has its own roadmap and limitations.”

LG execs never mentioned Covid directly, however. They did make frequent allusions to how our lives have changed: we’re all spending far more time at home, and we’re placing increased value on health and wellness.” Credit the company with not bludgeoning its audience with overt references to the pandemic when rolling out one product after another that clearly referred to the pandemic.

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Phil Koopman, co-founder of Edge Case Research and professor at Carnegie Mellon University, explained in a recent EE Times interview that life would be easier if everything in the world around us were automated. But in reality (where we’ll all be living for a long time to come) is much messier. Human drivers will have to deal with automated features here and there, their use often restricted to designated operational design domains (ODDs).

Galileo is the European Global Navigation Satellite System (GNSS), developed to provide position, navigation, and weather information to users around the world. Unlike other GNSS systems, Galileo is managed by a civil body, the European Space Agency (ESA), and has been designed in response to the needs of different user communities.

Critical applications need to know how much confidence they can place on their data that are acquired by receivers. The protection level describes the maximum position error and quantifies the reliability of the system. This level is influenced by all sources of error that commonly affect GNSS solutions.

But just as 3D NAND stacking will eventually hit limits, so will the gapfill techniques and ALD technology, added Puhakka. It has its own roadmap and limitations.”

Galileo is the European Global Navigation Satellite System (GNSS), developed to provide position, navigation, and weather information to users around the world. Unlike other GNSS systems, Galileo is managed by a civil body, the European Space Agency (ESA), and has been designed in response to the needs of different user communities.

Critical applications need to know how much confidence they can place on their data that are acquired by receivers. The protection level describes the maximum position error and quantifies the reliability of the system. This level is influenced by all sources of error that commonly affect GNSS solutions.

But just as 3D NAND stacking will eventually hit limits, so will the gapfill techniques and ALD technology, added Puhakka. It has its own roadmap and limitations.”

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Critical applications need to know how much confidence they can place on their data that are acquired by receivers. The protection level describes the maximum position error and quantifies the reliability of the system. This level is influenced by all sources of error that commonly affect GNSS solutions.

But just as 3D NAND stacking will eventually hit limits, so will the gapfill techniques and ALD technology, added Puhakka. It has its own roadmap and limitations.”

But just as 3D NAND stacking will eventually hit limits, so will the gapfill techniques and ALD technology, added Puhakka. It has its own roadmap and limitations.”

LG execs never mentioned Covid directly, however. They did make frequent allusions to how our lives have changed: we’re all spending far more time at home, and we’re placing increased value on health and wellness.” Credit the company with not bludgeoning its audience with overt references to the pandemic when rolling out one product after another that clearly referred to the pandemic.

Ongoing advances focus on scaling quantum interconnects that are a critical element of the long-term quantum practicality for any company that is working in quantum research. With Horse Ridge II, Intel wants to make quantum computers less complex and more practical with scalable interconnects. Intel pointed out that as the number of qubits increases, not dealing with the complexities of connecting them is like owning a sports car and being constantly stuck in traffic. Intel expects that Horse Ridge II will be able to offer higher fidelity and lower power consumption, bringing us closer to developing a scalable quantum computer.

A failure to find this man/machine common ground could be, said Shashua, a catastrophe.”