Abstract: A complementary current-steering digital-to-analog converter (DAC) including a p-type DAC as well as an n-type DAC is shown. The p-type DAC has p-type current sources, and the n-type DAC has n-type current sources. The p-type and n-type current sources are coupled to a first input terminal or a second input terminal of a transimpedance amplifier (TIA) according to the digital input of the complementary current-steering DAC. In response to the digital input changing from a first value to a second value that is greater than the first value, one or more n-type current sources connected to the second input terminal of the TIA are switched so that they are connected to the first input terminal of the TIA.

Abstract: A circuit with a pseudo class-AB structure is shown. The circuit has an output stage, a first capacitor, and a first impedance component. The output stage has a first PMOS (p-type Metal-Oxide-Semiconductor Field-Effect Transistor) and a first NMOS (n-type MOSFET). The first connection node between the drain terminal of the first PMOS and the drain terminal of the first NMOS is coupled to the first output terminal of the circuit. The first capacitor is coupled between the gate terminal of the first PMOS and the gate terminal of the first NMOS. The first impedance component is coupled in parallel with the first capacitor between the gate terminal of the first PMOS and the gate terminal of the first NMOS.

Abstract: Certain aspects of the present disclosure provide techniques for providing automated intelligence in a support session. In one example, a method includes generating a set of tokens based on a text-based query posted by a support agent to a live chat thread; generating a set of vectors based on the set of tokens; extracting a set of features based on the set of tokens; generating a query vector based on the set of vectors and the set of features; determining a predicted intent of the text-based query based on the query vector, wherein the predicted intent is one of a plurality of predefined intents; determining a predicted answer to the text-based query based on: the query vector; and the predicted intent; and providing the predicted answer to the text-based query in the live chat thread.