Tesla, Inc. patent applications on 2025-06-26
Patent Applications by Tesla, Inc. on June 26th, 2025
Tesla, Inc.: 2 patent applications
Tesla, Inc. has applied for patents in the areas of B60G7/001 (VEHICLE SUSPENSION ARRANGEMENTS (air-cushion vehicles ; {cycle suspensions }), 1), G06F17/16 (Matrix or vector computation {, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization (matrix transposition )}, 1)
With keywords such as: compliant, mechanism, suspension, vehicle, body, provided, monitoring, position, include, coupling in patent application abstracts.
Top Inventors:
- Douglas Nordman of San Francisco CA US (1 patents)
- Peter Hawkins of Cupertino CA US (1 patents)
- Julian Pitt of Palo Alto CA US (1 patents)
- Peter Sassone of Austin TX US (1 patents)
- Peter Joseph Bannon of Woodside CA US (1 patents)
Patent Applications by Tesla, Inc.
20250206092. COMPLIANT MECHANISM SUSPENSION HEIGHT SENSOR (Tesla, .)
Abstract: a compliant mechanism is provided for monitoring the position of a suspension of a vehicle. the compliant mechanism can include a body for coupling to both an angle sensor and the suspension of the vehicle. the body can have at least two first portions and at least one second portion. the second portion is coupled to both of the two first portions and is more flexible than the two first portions.
Abstract: systems and methods for enhanced multiply-accumulate units for convolutional neural network processing. an example multiply-accumulate unit includes a multiplier, with the multiplier being configured to receive (1) an input value of a window of input values and (2) a weight value set to negative one. the unit further includes an adder, with the adder being configured to add a result received from the multiplier with a value in an accumulator of the mac unit. the unit further includes a multiplexer, with the multiplexer being configured to select between outputting (1) a result of the adder and (2) the input value; and the accumulator, and with the accumulator being configured to receive output from the multiplexer, and with the accumulator being configured to be enabled or disabled according to the result of the adder based on the mac unit performing a particular convolutional operation.