Computex shows AI ecosystem; fully autonomous chip design; Intel targets AI racks; IC market rises; Apple’s chiplet era; 4,500 chips per AI server rack; HBM price hikes; quantum IPO, chip and roadmap; SiC guidelines; MXenes; EV outlook; autonomous edge chiplets.
Arm and Nvidia introduced an AI PC platform, RTX Spark, with an Arm-based Grace CPU, Blackwell RTX GPU, and unified memory.
Cadence announced a fully autonomous virtual agentic AI design engineer, enabling customers to run dynamic simulations in automated workflows.
Intellaunched Xeon 6+, its first data-center CPU built on Intel Foundry‘s 18A process. The company also announced several partnerships with Siemens, Hitachi, Foxconn, and others.
Wiwynn, Ayar Labs and others demonstrated advanced CPO innovations.
Micron highlighted its 256GB SOCAMM2 module that delivers 1/3 the power and footprint vs. standard RDIMMs.
Samsung unveiled a mock-up of HBM5 with its new Heat Path Block technology.
Fig. 1: An AI PC concept. Source: Arm
Reports
The WSTS released its latest semiconductor market forecast, significantly raising the industry outlook to +$1.5T in 2026 and $1.9T in 2027.
SIA/Deloitte’spowering AI data center report found that semiconductors account for 95% of an AI data server rack’s value, with a single AI server rack containing over 4,500 packaged chips.
Counterpoint’s teardown says Apple M5 Pro chip marks Apple’s move into a chiplet-style architecture, separating CPU- and GPU-heavy dies in one package to improve scaling, yield, and performance-per-watt. It aligns Apple with a broader industry trend toward advanced packaging and modular chip designs.
Fig. 2: WSTS forecast summary by region and product segment. Source WSTS
Memory
HBM contract prices are expected to rise sharply in 2027 as tight DRAM supply gives memory suppliers greater pricing power.
Global DRAM revenue rose 81% sequentially to $97B in Q126 as contract prices for conventional DRAM increased by roughly 93% to 98%, according to TrendForce. The firm expects conventional DRAM contract prices to rise another 58% to 63% in the second quarter.
SK hynix plans to double its capacity over the next five years, reports Nikkei Asia.
A coalition warned the US government that DRAM/NAND supply is being pulled away from consumer electronics, broadband gear, cars, and medical devices, and is calling for faster expansion of memory-chip production, stronger supply-chain support, adequate supplies for non-AI industries, and fewer barriers to capacity growth.
SpaceX secured tax incentives from Grimes County, Texas, for a proposed semiconductor manufacturing and advanced-computing facility. SpaceX and Tesla plan to invest an initial $55B in the Terafab project, potentially rising to $119B if fully built out, despite opposition from residents.
The European Commission presented Chips Act 2.0, shifting toward a wider plan that also creates demand for EU-made chips, speeds up the permitting process, supports the full supply chain, and ties chip policy to AI/data-center growth. SEMI Europesupports the plan.
Asia
TSMC CEO C.C. Wei said AI-related chip demand remains strong, with the company working to expand capacity and avoid becoming a bottleneck in the semiconductor supply chain, reports Reuters. Wei also said TSMC has purchased high-NA EUV tools for R&D, but does not yet need them for production because the economics remain unfavorable.
JEDEC published two new SiC guidelines aimed at reliability and evaluation in power electronics.
Siemens announced new industrial AI orchestration software to help scale AI from pilots to real-world operations, with people and AI agents working together across shared workflows. The company also added 3D electrical design capabilities to its Capital SW, connecting wiring and physical design.
Keysight expanded the photonics design ecosystem with GF’s PDK, enabling designers to move from PIC design to full electro-optical-electrical system simulation within a single environment.
Bruker launched a novel airborne molecular contaminants (AMC) TOF-MS solution for yield optimization in semiconductor manufacturing.
Marvell launched a 102.4 Tbps switch for AI and cloud data center infrastructure, claiming to deliver up to 25% lower power than other solutions, enabling data centers to deploy larger numbers of accelerators within existing power envelopes.
Adoptions and integrations
Infineon’spower management solutions will now support Nvidia’s MGX AI factory ecosystem, and its quantum-threat protected physical AI security will be integrated in Nvidia’s Jetson Thor platform.
Oracle Cloud is joining the Arm AGI CPU ecosystem.
Keysight and NTT are teaming up on realistic 6G channel modeling and simulation.
Ayar Labs joined the NVLink Fusion ecosystem, making its products optically and electrically compatible with Nvidia‘s co-packaged optics and SerDes.
Research
National Labs
Argonne and other researchers showed that MXenes, a class of 2D materials, can be selectively engineered.
CISA warned of ongoing supply-chain compromises targeting developer environments, GitHub repositories, and CI/CD infrastructure. Other CISA alerts are here.
Hackers reportedly exploited Meta’s AI-powered Instagram support assistant to add attacker-controlled email addresses to victim accounts, enabling password resets and the takeover of high-value Instagram handles before Meta deployed a fix.
Cryptography, PQC
Apple published details of its formal-verification work for its internal corecrypto.
As threats evolve faster, protecting security algorithms from design through manufacturing and across the supply chain is becoming more difficult. To stay ahead of emerging threats — especially post-quantum risks — hardware must be built with cryptographic agility, secure roots of trust, and reliable update mechanisms from the start.
The IEA’s latest EV outlook found that EVs accounted for about 25% of global new-car sales in 2025, with battery deployment reaching a record 1.2TWh.
Infineon released a number of new EV and battery technologies, including a 1,300 V SiC module that operates up to 205°C, new MOSFET technology for motor drives and batteries, and a new family of reinforced isolated gate-driver ICs for BEV traction inverters.
Connected vehicles and RF
Automotive Ethernet and standards such as TSN and MACsec are enabling vehicle network designers to use the latest high-speed protocols for safety-critical elements in the vehicle, which were previously reserved for CAN bus and other older protocols and standards.
Motorola Solutions agreed to acquire D-Fend Solutions for $1.5B, adding RF detection and cyber-takeover technology to identify rogue drones, seize control of their communications link, and safely land or redirect them without jamming nearby signals.
Keysight achieved an automotive Hybrid eCall certification to the EN 18052:2025 standard from DEKRA.
Nvidia is expanding its DRIVE Hyperion robotaxi ecosystem, with deals in Asia, Germany, and Saudi Arabia. The company also launched a 32B-parameter open reasoning model for L4 robotaxi development and AV simulation workflows.
Vehicle technical papers
Model-based DL for Radar Artifact Mitigation (TU/e)
AI is all about data. There is more data to process, store, and move, and more tradeoffs required to do that efficiently and with enough flexibility to handle changes in future workloads. Nandan Nayampally, chief commercial officer at Baya Systems, talks about networks on chip and networks across chip, what the choke points are for data movement, and where and when data coherency makes sense.
Quantum
Roadmaps 2029 to 2032
IBM plans to invest over $10B in quantum computing over the next five years, spanning R&D, CapEx, manufacturing scaling, ecosystem partnerships, and M&A, toward its aim of delivering a large-scale, fault-tolerant quantum computer in 2029.
Microsoftreleased its next-gen topological quantum chip, Majorana 2. The chip includes a new materials stack enabling a 1,000-fold improvement in reliability over the prior generation of qubits, and the company now expects to achieve a scalable quantum computer by 2029.
D-Wave announced a new gate-model roadmap toward fault-tolerant quantum computing, targeting 100 logical qubits capable of successfully performing over 1 million operations by 2032.
Funding
Quantinuumraised $1.68B in an upsized IPO, per Bloomberg (latest price is here). This is by far the largest pure-play quantum computing IPO to date and one of the biggest technology IPOs of 2026.
Quoblyraised €115M to bring silicon-based quantum computers to market.
U. of Osaka researchers stabilized an exotic cobalt-based honeycomb structure with potential for low-cost quantum technologies.
Workforce, Education
IEEE’sSolid-State Circuits Society and Electron Devices Society opened applications for SEED, a semiconductor education and outreach program that will fund selected PhD students, young professionals, and junior faculty to work with underserved regions.
Momentum is building with the new SEMI Foundation-operated NNME workforce nodes. NNME Northeast launched as a 12-state semiconductor workforce node led by NY CREATES and SUNY, and U. of Arizona and UCLA joined the Southwest hubs.
Siemens launched Expedite for Vets, a workforce-development initiative that will provide free access to its industry-recognized engineering microcredential program for up to 5,000 U.S. service members and veterans. The program is designed to create a pipeline into advanced manufacturing, digital engineering, automation, and infrastructure roles through online coursework, mentorship, and a pre-apprenticeship model.
The UK Electronics Skills Foundation expanded its 2026 Semiconductor Talent Award to support 700 UK undergraduates.
IIT Delhi and Cadence launched an AI-enabled innovation lab to train semiconductor talent, support research, and help early-stage startups in India, reports Analytics India Mag.
InP and SiPho join CMOS as critical technologies. Lasers, CPO and OCS will be everywhere (indium phosphide, silicon photonics, co-packaged optics, optical circuit switch).
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