View attachment 62407
Here's a patent from 2015*.
Oleg Sinyavski ( currently Principal Applied Scientist at Wayve) was one of the inventors of this patent. The other inventor was ...Olivier Coenen, currently Senior Research Scientist at ....BRAINCHIP!!!!
Could someone please call Tony ASAP and ask him to call Olivier to see if he can get on the blower to his old mate Oleg! Best to strike while the iron is
![Fire :fire: 🔥](https://cdn.jsdelivr.net/joypixels/assets/6.6/png/unicode/64/1f525.png)
I say!
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View attachment 62398
*Systems and apparatus for implementing task-specific learning using spiking neuronsSystems and apparatus for implementing task-specific learning using spiking neurons
US9146546B2 · Issued Sep 29, 2015
Generalized learning rules may be implemented. A framework may be used to enable adaptive spiking neuron signal processing system to flexibly combine different learning rules (supervised, unsupervised, reinforcement learning) with different methods (online or batch learning). The generalized...
patents.google.com
And it's not like Wayve couldn't benefit massively from our help IMO. Just look at the list of main challenges that they're facing. Without blowing our trumpet too much, I beleive we are literally the PANACEA for these woes, like Hydrozole is for ringworm, or like a toupee is for a pate (pate = bald head).
View attachment 62408
Can someone please ask Tony if Olivier Coenen has had a chance to talk to Oleg Sinyavsk from Wayve yet?
Riding the Wayve of AV 2.0, Driven by Generative AI
Startup Wayve develops autonomous driving technologies capable of decision-making in dynamic, real-world environments.
May 29, 2024 by
Norm Marks
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Generative AI is propelling AV 2.0, a new era in autonomous vehicle technology characterized by large, unified, end-to-end AI models capable of managing various aspects of the vehicle stack, including perception, planning and control.
London-based startup Wayve is pioneering this new era, developing autonomous driving technologies that can be built on
NVIDIA DRIVE Orin and its successor NVIDIA DRIVE Thor, which uses the
NVIDIA Blackwell GPU architecture designed for
transformer,
large language model (LLM) and
generative AI workloads.
In contrast to AV 1.0’s focus on refining a vehicle’s perception capabilities using multiple deep neural networks, AV 2.0 calls for comprehensive in-vehicle intelligence to drive decision-making in dynamic, real-world environments.
Wayve, a member of the
NVIDIA Inception program for cutting-edge startups, specializes in developing AI foundation models for autonomous driving, equipping vehicles with a “robot brain” that can learn from and interact with their surroundings.
“NVIDIA has been the oxygen of everything that allows us to train AI,” said Alex Kendall, cofounder and CEO of Wayve. “We train on NVIDIA GPUs, and the software ecosystem NVIDIA provides allows us to iterate quickly — this is what enables us to build billion-parameter models trained on petabytes of data.”
Generative AI also plays a key role in Wayve’s development process, enabling
synthetic data generation so AV makers can use a model’s previous experiences to create and simulate novel driving scenarios.
The company is building embodied AI, a set of technologies that integrate advanced AI into vehicles and robots to transform how they respond to and learn from human behavior, enhancing safety.
Wayve recently announced its Series C investment round — with participation from NVIDIA — that will support the development and launch of the first embodied AI products for production vehicles. As Wayve’s core AI model advances, these products will enable manufacturers to efficiently upgrade cars to higher levels of driving automation, from
L2+ assisted driving to L4 automated driving.
As part of its embodied AI development, Wayve launched GAIA-1, a generative AI model for autonomy that creates realistic driving videos using video, text and action inputs. It also launched LINGO-2, a driving model that links vision, language and action inputs to explain and determine driving behavior.
“One of the neat things about generative AI is that it allows you to combine different modes of data seamlessly,” Kendall said. “You can bring in the knowledge of all the texts, the general purpose reasoning and capabilities that we get from LLMs and apply that reasoning to driving — this is one of the more promising approaches that we know of to be able to get to true generalized autonomy and eventually L5 capabilities on the road.”
London-based startup Wayve is pioneering AV.20, a new era in autonomous vehicle technology, developing autonomous driving technologies built on NVIDIA DRIVE.
blogs.nvidia.com