SouthWind Inn, Port Isabel, TX

AI & Robotics
We develop and deploy autonomy at scale in vehicles, robots and more. We believe that an approach based on advanced AI for vision and planning, supported by efficient use of inference hardware, is the only way to achieve a general solution for full self-driving, bi-pedal robotics and beyond.

Tesla Optimus
Create a general purpose, bi-pedal, autonomous humanoid robot capable of performing unsafe, repetitive or boring tasks. Achieving that end goal requires building the software stacks that enable balance, navigation, perception and interaction with the physical world. We’re hiring deep learning, computer vision, motion planning, controls, mechanical and general software engineers to solve some of our hardest engineering challenges.

FSD Chip
Build AI inference chips to run our Full Self-Driving software, considering every small architectural and micro-architectural improvement while squeezing maximum silicon performance-per-watt. Perform floor-planning, timing and power analyses on the design. Write robust tests and scoreboards to verify functionality and performance. Implement drivers to program and communicate with the chip, focusing on performance optimization and redundancy. Finally, validate the silicon chip and bring it to mass production in our vehicles.

Dojo Chip
Build AI training chips to power our Dojo system. Implement bleeding-edge technology from the smallest training nodes to the multi-die training tiles. Design and architect for maximum performance, throughput and bandwidth at every granularity. Dictate physical methodology, floor-planning and other physical aspects of the chip. Develop pre-silicon verification and post-silicon validation methods to ensure functional correctness. Write compilers and drivers to optimize power and performance for our neural networks throughout the entire Dojo system. For more information about Dojo’s arithmetic formats and methods, download our latest whitepaper.

Dojo System
Design and build the Dojo system, from the silicon firmware interfaces to the high-level software APIs meant to control it. Solve hard problems with state-of-the-art technology for high-power delivery and cooling, and write control loops and monitoring software that scales. Work with every aspect of system design where the limit is only your imagination, employing the full prowess of our mechanical, thermal and electrical engineering teams to create the next-generation of machine learning compute for use in Tesla datacenters. Collaborate with Tesla fleet learning to deploy training workloads using our massive datasets, and design a public facing API that will bring Dojo to the masses.

Neural Networks
Apply cutting-edge research to train deep neural networks on problems ranging from perception to control. Our per-camera networks analyze raw images to perform semantic segmentation, object detection and monocular depth estimation. Our birds-eye-view networks take video from all cameras to output the road layout, static infrastructure and 3D objects directly in the top-down view. Our networks learn from the most complicated and diverse scenarios in the world, alliteratively sourced from our fleet of millions of vehicles in real time. A full build of Autopilot neural networks involves 48 networks that take 70,000 GPU hours to train 🔥. Together, they output 1,000 distinct tensors (predictions) at each timestep.

Autonomy Algorithms
Develop the core algorithms that drive the vehicle by creating a high-fidelity representation of the world and planning trajectories in that space. In order to train the neural networks to predict such representations, algorithmically create accurate and large-scale ground truth data by combining information from the vehicle’s sensors across space and time. Use state-of-the-art techniques to build a robust planning and decision-making system that operates in complicated real-world situations under uncertainty. Evaluate your algorithms at the scale of the entire Tesla fleet.

Code Foundations
Throughput, latency, correctness and determinism are the main metrics we optimize our code for. Build the Autopilot software foundations up from the lowest levels of the stack, tightly integrating with our custom hardware. Implement super-reliable bootloaders with support for over-the-air updates and bring up customized Linux kernels. Write fast, memory-efficient low-level code to capture high-frequency, high-volume data from our sensors, and to share it with multiple consumer processes— without impacting central memory access latency or starving critical functional code from CPU cycles. Squeeze and pipeline compute across a variety of hardware processing units, distributed across multiple system-on-chips.

Evaluation Infrastructure
Build open- and closed-loop, hardware-in-the-loop evaluation tools and infrastructure at scale, to accelerate the pace of innovation, track performance improvements and prevent regressions. Leverage anonymized characteristic clips from our fleet and integrate them into large suites of test cases. Write code simulating our real-world environment, producing highly realistic graphics and other sensor data that feed our Autopilot software for live debugging or automated testing.

Build the Future of Artificial Intelligence
https://www.tesla.com/en_eu/AI

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NEURALINK WILL CHANGE THE WAY YOU THINK

https://neuralink.com/webgrid/

Play Webgrid–At Neuralink, they use a game called Webgrid to test how precisely you can control a computer.

The goal of the game is to click targets on a grid as fast as possible while minimizing misclicks. Your score, measured in bits per second (BPS), is derived from net correct targets selected per minute (NTPM) and grid size.

Neuralink’s website stores data in your browser to function. If you click Accept All, we will store some additional data to improve the website by learning how visitors use it.

You can change your settings anytime by clicking the button in the main website footer.

The first clinical trial participant achieved a score of 9.51 BPS on a 45×45 grid, controlling his computer with his brain.

What is your score? CLICK HERE: https://neuralink.com/webgrid/

WHAT IS NEURALINK?

NEURALINK places electrodes near neurons in order to detect action potentials. Recording from many neurons allows NEURALINK to decode the information represented by those cells.

In the movement-related areas of the brain, for example, neurons represent intended movements. There are neurons in the brain that carry information about everything we see, feel, touch, or think.

NEURALINK brain-computer interface is fully implantable, cosmetically invisible, and designed to let you control a computer or mobile device anywhere you go.

A Seamless BCI Experience
To restore independence and improve lives, they’ve built a brain-computer interface (BCI) experience that enables fast and reliable computer control and prioritizes ease of use.

https://portal.neuralink.com/login?returnTo=%2F

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THE REGION
Spaniards discovered and mapped the Gulf shores peopled by the coastal Borrado Indians, in the early 1500s. Some two centuries later, ranchers from Mexico settled in what became south Texas. By the 1830s the small settlement of El Fronton de Santa Isabela became headquarters for one of the large ranches established by these settlers.