Venkateswaran Padmanabhan

3 indexed events

Public technical and organizational events indexed by this site.

20252023

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Apr 10, 2025

A TI patent publication describes machine-learning-assisted generation of real-number models

U.S. patent application US20250117560A1, assigned to Texas Instruments, describes obtaining analog-simulation logs, training a neural network, deriving a mathematical transfer function, and producing a SystemVerilog-compatible simulation kernel for real-number modeling. This Event records a published patent disclosure; publication does not establish product implementation, internal deployment, or the scope of any deployed flow.

Dec 21, 2023

TI patent publications disclose machine-learning methods for circuit verification and debug

Two U.S. patent applications assigned to Texas Instruments disclose complementary machine-learning techniques for analog or hybrid analog/digital integrated circuits. US20230409789A1 describes learning from simulated signal values and comparing predicted outputs with actual IC outputs for validation; US20230409790A1 describes inverse models that infer inaccessible internal signals or state-machine states from top-level inputs and outputs for debug. The documents also describe simulation-test selection using coverage metrics. These are patent disclosures, not evidence of product implementation or a deployed verification service.

Apr 6, 2023

TI authors evaluate machine-learning techniques for analog waveform prediction

A Texas Instruments ISQED 2023 paper evaluates a machine-learning behavioral-model method for time-domain waveform prediction using feature extraction, waveform segmentation, and circuit partitioning. In an operational-amplifier proof of concept, the authors report an average output-prediction signal-to-noise ratio of 32 dB. The result is an evaluated proof of concept, not evidence of production deployment.