[]We thank you for your interest. BUSS is fully subscribed, and can accept no more registrations. Visit our website (attend.ieee.org/buss) to subscribe to our ListServ Dlist, to hear about future Build-Up Substrate events. We are living in the era of heterogeneous integration driven by fast, efficient and big data computing resources at our fingertips. The mega-monolithic silicon chip is a thing of the past, replaced with 3D heterogeneous integration of chiplets onto a platform made of an organic build-up substrate. Volume manufacturers of build-up substrates are entirely based in Asia, leaving a desert in the US. Volume build-up substrates used by major IDMs are manufactured in Asian countries including Taiwan, Japan and China. However, there are multiple activities starting up in the US, and this is why a gathering of the US players is important. This symposium is geared for all those involved in the supply chain of build-up substrates in the US, as well as users. This Symposium is an opportunity for all build-up substrate players to meet, network and cohesively work with funding agencies who will be invited to this symposium to focus on onshoring build-up substrate production and utilization. Agenda: Sessions: — Substrate Manufacturing and Onshoring — Materials for Substrates — Emerging Substrate Technologies — Panel Equipment and Technologies for Substrates — Inspection and Testing … plus two panels: — Substrate End Users — Onshoring and Startups SEMI World Headquarters, 673 South Milpitas Blvd, Milpitas, California, United States, 95035

This is not the main BUSS registration site. To register, please visithttps://attend.ieee.org/buss/registration/ [] SEMI World Headquarters, 673 South Milpitas Blvd, Milpitas, California, United States, 95035

Visual signal coding involves a great number of complex and computationally intensive decisions, especially in modern standards such as Versatile Video Coding (VVC), AOMedia Video 1 (AV1), and Video-based Point Cloud Compression (V-PCC). As multimedia applications increasingly target energy-constrained devices, reducing the computational and energy demands of coding systems becomes crucial. In this talk, we present how machine learning techniques can be applied to accelerate decision processes and significantly reduce complexity in these advanced coding standards. The talk will present examples in which trained models are implemented into both software codecs and hardware designs, and demonstrate how they can be combined with low-power techniques such as operand isolation, clock gating, and approximate computing. The presented approaches aim to enable efficient multimedia processing even under strict energy limitations. Speaker(s): Guilherme Corrêa Virtual: https://events.vtools.ieee.org/m/483053