Tesla, Inc.

Involves the development of novel materials and porous structures for the electrodes of supercapacitors and other electrochemical energy storage devices, aiming for high charge density, improved performance, and flexibility.

Slurry compositions and coating processes for battery electrodes, including binder/active-material slurries, surface coating layers, and electrode-to-foil adhesion for cathode and anode.

Novel hardware designs and processing pipelines tailored for specific computational tasks, such as graphics rendering, neural network operations, or matrix transformations, often involving custom circuits, memory arrays, or data flow mechanisms.

Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.

Innovations in the materials, manufacturing, and assembly of vehicle body components to enhance rigidity, crashworthiness, and functional integration.

Focuses on the structural integrity, housing, mounting, and physical integration of battery cells into robust and protected packs within electric vehicles, including manufacturing considerations.

Processes and apparatus for disassembling spent batteries and recovering valuable materials (e.g., metals, electrolytes, plastics) through mechanical, chemical, or electrochemical methods for reuse or sustainable disposal.

Technologies that enable automated or mobile device-controlled access to a vehicle, including keyless entry, remote functions, and power-assisted steps or pedals designed to facilitate easier ingress and egress.

Safety features built into or around vehicle seats to protect occupants during various accident scenarios, including airbags, pre-crash positioning, and blast attenuation.

Technologies for efficiently delivering power to electric vehicles, encompassing fast charging, wireless charging, and smart grid integration, alongside vehicle-side control and management of the charging process.

Techniques and hardware for autonomous systems to gather and interpret data about their surroundings, including obstacle detection, object recognition, and depth estimation, to inform control decisions.

Systems designed to manage the temperature of multiple components in electric or hybrid vehicles, such as batteries, electric motors, power electronics, and the passenger cabin, often using shared or interconnected cooling/heating circuits.

Process and equipment for producing solid-state battery cells, including solid electrolyte synthesis (sulfide/oxide/polymer), thin-film deposition, lamination, sintering, dry-electrode fabrication, and stacking under controlled atmosphere.

Algorithms and systems for generating, optimizing, and executing trajectories for autonomous vehicles or robots to move through an environment, often involving obstacle avoidance, route validation, and goal reaching.

Active anode materials and manufacturing techniques for rechargeable lithium-ion batteries, including silicon-carbon composites, graphite, lithium-metal anodes, and electrode coating processes that improve capacity, cycle life, and rate capability.

Integrated solutions for dissipating heat generated by high-density semiconductor devices within the package, including embedded cooling structures, cold plates, and optimized fluidic channels.

Techniques for stacking multiple semiconductor dies or active layers vertically to achieve higher density and shorter interconnections, often utilizing through-silicon vias (TSVs) or other vertical conductive paths like through-hole electrodes.

Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.

Techniques and architectures for ensuring the reliability, fault tolerance, and performance validation of autonomous driving systems, including redundant computing platforms and perception system monitoring.

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.

Devices and structural elements within the vehicle cabin or attached to the vehicle body designed to organize, secure, or support various articles, equipment, or even pets, often featuring customizable compartments or robust attachment mechanisms.

Software, algorithms, and associated hardware for monitoring, controlling, and optimizing battery performance, safety, and lifespan, including charge/discharge cycles, thermal regulation, and system integration.

Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.

Integration and control of electronic components within the vehicle, including power distribution, thermal management for integrated circuits, and advanced user interfaces such as voice assistants, often involving specialized housings or trim.

Methods and components for optimizing the performance, efficiency, and control of electric motors, inverters, and power converters within electric vehicle and hybrid vehicle drivetrains.

Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

Novel electrical connection methods within or between package components, including through-glass vias (TGVs), backside contacts, and optimized redistribution layers for improved signal and power integrity.

Explores the composition and integration of solid or gel-based electrolyte materials within various capacitor types, such as solid electrolytic capacitors and supercapacitors, to enhance performance, stability, and safety.

Control systems for managing vehicle braking and maintaining a stationary state, including brake pedal actuation sensing, automatic brake hold functions, and coordination with parking brakes.

Algorithms and systems for planning and executing complex vehicle maneuvers, often involving cooperation with other vehicles or infrastructure, to optimize traffic flow, avoid collisions, or navigate challenging scenarios. This includes lane changes, cut-ins, and traffic congestion.

Systems and methods for enhancing the safety of vulnerable road users (pedestrians, cyclists) by improving their detection, prediction, and precise localization relative to the vehicle, often leveraging communication technologies and specialized markers.

Electronic, hydraulic, or steer-by-wire systems that precisely control vehicle direction, often incorporating feedback loops, compensation, and adaptation for various driving conditions or vehicle types.

Technologies for safely and efficiently connecting, stabilizing, and maneuvering trailers, including hitch mechanisms, load sensing, and trailer-specific steering or stabilization.

Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Integrated systems for managing parking facilities, guiding vehicles to available spots, and providing notifications, often leveraging sensors, communication, and remote control.

Methods and systems for managing the interaction, communication, and collaborative tasks among multiple autonomous entities, or between autonomous entities and a central control system or users.

Packaging technologies where bare dies are embedded within a mold compound or substrate cavity, and then interconnected using redistribution layers (RDLs) for fan-out or compact integration, often avoiding through-silicon vias in the chips themselves.

Techniques and hardware architectures designed to efficiently generate and display complex 3D graphics, particularly for interactive applications like virtual reality, focusing on speed and visual quality.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Systems that monitor a vehicle operator's physiological state, attentiveness, or behavior using in-cabin sensors and machine learning to enhance safety or personalize vehicle functions.