From shoes to GPUs; super agents; TSMC, ASML results; new chiplets and test facilities; Stanford AI index; photonics deals; compute architecture hall of fame; teens for chips; AI security; automotive edge data architecture; mid $20k e-truck; magnesium battery progress.
Cadence expanded its portfolio of ChipStack AI agents with a head agent designed to orchestrate all aspects of semiconductor and system design, along with agents specialized for custom and analog, and for digital implementation and signoff. Cadence is also collaborating with Nvidia to combine agentic AI, physics-based simulation, and digital twins for semiconductor and physical AI engineering, and with Google to integrate Super Agent with Gemini on Google Cloud.

Fig.1: Cadence CEO Anirudh Devgan and Jensen Huang discussing AI’s impact at CadenceLive this week.

Fig.2: Accelerating AI capability. Source: Stanford 2026 AI Index Report [Ref. 1]
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Semiconductor Engineering published the Manufacturing, Packaging and Materials newsletter this week:
Plus:
Onto Innovation‘s recently released Dragonfly G5 inspection platform is now qualified for 2.5D AI packaging applications.
Intel launched its 18A process node-built Core Series 3 mobile processors for small businesses and edge use cases.
Athena introduced a new agentic AI tool, FabOrchestrator, for smart manufacturing in the fab and other environments.
In a recent tech talk, D2S‘ Aki Fujimura talks about how far the industry has come in terms of computational resources and multi-beam mask writing to facilitate the move to curvilinear masks and design.
Nvidia released a family of open AI models for quantum processor calibration and quantum error-correction decoding.
Meta shared details of its second-gen Meta Training and Inference Accelerator (MTIA) chip designed for large-scale infrastructure. Meta will also partner with Broadcom to co-develop multiple generations of the MTIA and deploy over 1GW of capacity using Broadcom’s XPU platform and Ethernet technologies.
Faraday Technology announced IP that integrates SST eFlash controller and BiST with analog and high-speed interface PHY IPs for UMC‘s 28nm platform.
NASA selected Synopsys and Electro Magnetic Applications to research Artemis spacesuit triboelectrification, electrical charging, and electrostatic discharge resulting from exposure to the lunar environment.
Teenagers can now suit up in a 16,500 sf. full cleanroom environment in a Phoenix school district, preparing students for jobs in the fab, packaging facilities as well as robotics training.
SEMI is extending its SEMIquest hands-on immersion semiconductor experience at the Arizona Science Center through May 31.
The Oregon government awarded over $8.5M in grants to eight recipients to bolster the state’s semiconductor talent pipeline, covering activities such as building a mock fab room, dual credit opportunities in high schools, and internships.
Mitsubishi Chemical, PsiQuantum, and the U. of Tokyo joined forces on training and education for Japan’s quantum workforce.
UT Dallas was awarded a $700k grant from a Texas state fund, targeted for a semiconductor training cleanroom project.
DARPA launched the Heterogeneous Architectures for Quantum program to design architectures that combine different qubit types, each selected for what it does best, into a single system. In addition to software frameworks and circuit compilers, the effort aims to develop interconnects that enable communication between different types of qubits.
UCLA-led researchers discovered that metallic theta-phase tantalum nitride conducted heat nearly 3x better than copper or silver.
3D electron diffraction provides a more comprehensive nanoscale picture of how organic solar-cell materials are structured within a TEM, helping FAU researchers better connect molecular arrangement to device performance.
Computer architects may find this Hall of Fame report useful, showing a ranking of top research papers across the top conferences and links to their publications. Onur Mutlu from ETH Zurich took the top spot.
A recent Global Electronics Association report warns that the FCC’s March 2026 proposal to classify consumer routers made abroad as covered equipment (meaning a security risk) could strain the US router market by hiking costs, tightening supply, and delaying adoption of newer Wi-Fi technology. Meanwhile, Netgear routers were granted conditional approval and are exempt from the router ban.
NIST describes new techniques for improving system security and resilience in bus-connected hardware, including data fusion techniques and “repurposing component firmware as a network of forensic units.”
University of Florida security researchers presented challenges and opportunities in emulation-based SoC security verification and validation.
AI security
The Automotive Edge Computing Consortium rolled out a data-first architecture, utilizing a distributed, tiered model that processes and moves data across multiple layers. “By combining diverse communication methods — including cellular, Wi-Fi, and inter-vehicle data transfer — with distributed computing across vehicles, edge infrastructure, and cloud platforms, the data-first architecture offers a practical path forward for managing automotive data at scale,” stated Ryokichi Onishi, AECC board chairperson, in the consortium’s news release.
Imec examined Arm’s role in the Automotive Chiplet Program, and also added a new chip partner, Silicon Box.
Infineon retained its leadership position as the top automotive semiconductor supplier, with a 2025 overall market share of ~13% and a MCU share of 36%. Also, the company’s rad-hard solutions were part of NASA’s Artemis II mission in space.
Bosch and Qualcomm are expanding their partnership to include ADAS and emerging centralized vehicle architectures.
Samsung Electro-Mechanics rolled out the ultra-high-voltage MLCCs for xEV high-voltage powertrains for BEVs and PHEVs.
EVs, batteries
State Of The Market For Edge Silicon: What makes one AI chip better than another? Steve Roddy, chief marketing officer at Quadric, talks about the need to balance performance and efficiency with flexibility for different applications, what makes one chip better than another, and how to determine the best combination of processing elements.
Upcoming webinars are here, including:
Find upcoming chip industry events here, including:
| EVENTS | Date | Location |
|---|---|---|
| IEEE Custom Integrated Circuits Conference | Apr 19 – 22 | Seattle, WA |
| Design, Automation and Test in Europe Conference | Apr 20 – 22 | Verona, Italy |
| ISIG Executive Summit USA | Apr 20 – 21 | Silicon Valley |
| 1st Advanced Packaging International | Apr 20 – 22 | Brussels, Belgium |
| TSMC Technology Symposium | Apr 22 | Santa Clara |
| 2026 MRS Spring Meeting & Exhibit | Apr 26 – May 1 | Honolulu, Hawaii |
| IEEE VLSI Test Symposium (VTS) | Apr 27 – 29 | Napa, CA |
| Siemens User2User North America | Apr 28 | Santa Clara, CA |
| SEMIEXPO Heartland 2026 | Apr 29 – 30 | Detroit, Michigan |
| Display Week | May 3 – 8 | Los Angeles |
| IEEE International Symposium on Hardware Oriented Security and Trust (HOST) | May 4 – 7 | Washington D.C. |
| SEMICON Southeast Asia 2026 | May 5 – 7 | Kuala Lumpur, Malaysia |
| CadenceCONNECT: Tech Days Europe 2026 | May 6 | Munich |
| IEEE International Memory Workshop | May 10 – 13 | Leuven, Belgium |
| ASMC: Advanced Semiconductor Manufacturing Conference | May 11 – 14 | Albany, New York |
| Embedded Vision Summit | May 11 – 13 | Santa Clara, CA |
| Siemens User2User Europe | May 12 | Munich, Germany |
| CadenceCONNECT: Tech Days Europe 2026 | May 12 | Edinburgh |
| VOICE 2026 Developer Conference | May 18 -20 | Scottsdale, Arizona |
| Surface Preparation and Cleaning Conference (SPCC) | May 18 – 20 | Chandler, AZ |
| Electronic Components and Technology Conference (ECTC) | May 26 – 29 | Orlando, Florida |
| Hardwear.io Security Trainings and Conference USA 2026 | May 26 – 30 | Santa Clara, CA |
| Find all events here. |
[Ref. 1] Stanford AI Index References:
*Sha Sajadieh, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Lapo Santarlasci, Juan Pava, Nestor Maslej, Russ Altman, Erik Brynjolfsson, Carla Brodley, Jack Clark, Virginia Dignum, Vipin Kumar, James Landay, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Elham Tabassi, Russell Wald, Toby Walsh, Dan Weld. “The AI Index 2026 Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2026.
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