3M Chairman and CEO Bill Brown outlined the latest progress in the company's expanded beam optics (EBO) technology during its third-quarter earnings call, highlighting a contract manufacturing agreement with Taiwan's Largan Precision and the technology's potential US$2 billion market opportunity. The disclosure was made on the earnings call; the source does not state the specific terms or implementation timeline of the agreement.
Altera announced an extension of its Agilex FPGA product line to defense systems. Defense-grade Agilex FPGAs and SoC FPGAs operate reliably across a temperature range of -55°C to +125°C, with leaded-ball and ruggedized packaging options designed to withstand temperature cycling, vibration, and shock in mission-critical aerospace and defense applications. The defense-grade devices will span Altera's entire Agilex portfolio, from cost-optimized Agilex 3 FPGAs to mid-range Agilex 5 and high-performance Agilex 7 and Agilex 9 Direct RF-Series FPGAs. The article also notes that Altera's HyperFlex architecture uses Hyper-Retiming and Hyper-Pipelining to enable higher clock frequencies and greater processing throughput, and that fabrication in the United States provides a domestic source of wafer production supporting supply-chain resilience for aerospace and defense programs with long service-life requirements. Initial shipments of defense-grade Agilex FPGAs are scheduled for Q1 2027 (planned status, not yet shipped). The source does not state the cause.
Synaptics introduced the Astra SR200 series of xMCUs, which run multimodal AI workloads entirely on-device, combining heterogeneous, AI-native compute and acceleration with integrated high-bandwidth custom DRAM scalable to hundreds of Mbytes. The devices are powered by Synaptics' Torq AI engine with Google Research's transformer-capable Coral NPU and deliver up to 400 GOPS of AI inference. The series comprises three pin-compatible product lines: the SR210 reaches 200 GOPS for always-on voice and sensing; the SR230 adds vision, display, and optional audio at 300 GOPS; and the SR250 provides 400 GOPS with dual vision and display paths for demanding edge applications. The devices also feature Arm Cortex-M85 and Cortex-M52 cores, integrated vision and audio capabilities, and hardware-rooted security, with a tiered architecture pairing up to 8 Mbytes of SRAM with extensible, high-bandwidth custom DRAM that Synaptics says runs workloads at one-third the power of typical system DRAM.
Microchip's radiation-tolerant GaN point-of-load converter POL-05-20S-T delivers up to 20 A of continuous current to power FPGAs, MCUs and other digital loads in space. It uses a synchronous buck topology with current-mode control, an input voltage range of 4.75 V to 13.2 V, and an adjustable output of 0.7 V to 5 V. Its electrical parameters are specified before and after irradiation up to 50 krad(Si), and its single-event effects (SEE) have been characterized up to a linear energy transfer (LET) of 43 MeV·cm²/mg; it operates at full load over −55°C to +100°C. Housed in a 1.51×1.51×0.45-in. surface-mount package, it is now available in production quantities. The source does not state the cause (not an event-driven report).
GaN point-of-load converterGaN power HEMTsMicrochipEDN
BrainChip's Sequora processor IP core runs generative AI and large language models (LLMs) directly on battery-powered edge devices, such as earbuds and sensor nodes. It pairs with the company's Akida neural processor IP to handle complementary AI workloads: Akida processes streaming sensor data including vibration, audio, radar, raw RF IQ data, and biological signals, while Sequora runs generative and sequential AI tasks, from on-device LLM inference to voice-to-voice interaction and AI agents. Sequora is optimized for state-space models (SSMs), which maintain a fixed-size state to represent input history, keeping memory requirements constant regardless of sequence length, an architecture suited to generative AI workloads on resource-constrained edge devices. It uses a unified multiply-accumulate (MAC) array for both signal processing and neural-network computation, eliminating the need for a separate DSP preprocessing stage, and its instruction-set architecture (ISA) allows new algorithms to be deployed through software updates. Sequora is available now as licensable semiconductor IP, delivered as process-portable, fully synthesizable RTL; the package includes verification IP, synthesis scripts, and an SDK with a compiler, C++ runtime library, and model zoo.
Sequora processor IP coreAkida neural processor IPBrainChipEDN
NVIDIA announced plans with a group of supply chain partners to expand global manufacturing capacity to meet growing demand for its accelerated computing and full-stack AI factory platform. The partners include Amkor Technology, IBIDEN, King Yuan Electronics (KYEC), Samsung Electro-Mechanics, Siliconware Precision Industries (SPIL) and Unimicron Technology Corporation, with expansion of critical manufacturing capabilities across substrates, advanced packaging, testing and optical engines, covering both new and existing suppliers, to strengthen the resiliency and redundancy of NVIDIA's global supply chain. This is an announced expansion plan only; the source does not indicate the capacity changes have been implemented.
substratesadvanced packagingtestingNVIDIA, Amkor Technology and 7 totalTechPowerUpCapacity Change
Sunic System said on Oct. 21 that it recently signed a contract to supply OLED-on-silicon (OLEDoS) deposition equipment to an overseas customer, an additional order; the company did not disclose the customer's identity or the contract value. OLEDoS is a technology that forms organic light-emitting diodes on silicon wafers, and its high pixel density makes it suitable for extended reality (XR) devices and smart glasses, requiring more precise deposition processes than conventional OLEDs. The source notes that as AI-enabled wearable devices become more widespread, demand for high-resolution, low-power displays is increasing, and major display manufacturers are expected to expand investment in OLEDoS production facilities.
DIGITIMES observes that as AI servers and high-speed networking equipment continuously pursue higher data transmission rates, printed circuit boards (PCBs) are being upgraded through higher layer counts and lower-loss materials. In this transition, via structures have become critical bottlenecks affecting signal integrity: when high-frequency signals route between layers in a multilayer board, residual barrel copper can impair transmission, generating robust demand for high-precision backdrilling equipment. The source provides no specific figures, dates, or equipment vendor names.
printed circuit boards (PCBs)high-precision backdrilling equipmentDigiTimes Asia
Topoint Technology said it is positioning its precision PCB drilling business for rising demand from AI servers, high-performance computing, and high-speed transmission applications. At TPCA Show 2026, the company presented tools and processing technologies for advanced materials, including ABF substrates, quartz cloth, and PTFE, while outlining its capacity expansion in Taiwan and China. The expansion is a plan; the source gives no scale or schedule for the expansion.
STMicroelectronics announced it has expanded its space-grade semiconductor portfolio with the RHFLVDS42, a QML-V-qualified quad low-voltage differential signaling (LVDS) receiver for high-speed data links in aerospace and space systems. The device offers data rates up to 600 Mbps, operates from a supply voltage of 2.3V to 3.6V, complies with TIA/EIA-644 and relevant JEDEC requirements, and has an input common-mode voltage range from -4V to +5V with an absolute maximum voltage rating of 4.8V. For radiation performance, according to STMicroelectronics, it provides SEL-free operation at a LET of 122.6 MeV·cm²/mg and SET- and SEU-free performance at 61.3 MeV·cm²/mg, qualifies under the RHA QML-V framework for total ionizing doses up to 300 krad (Si), and provides 8kV ESD immunity. The device is manufactured at ST's Rennes facility in France using 130nm CMOS technology, which the company says it has used in space-related applications for more than a decade, carries an EAR99 export classification, supports an operating temperature range of -55°C to +125°C, comes in a grounded-lid hermetic Flat-16 package, and a bare-die option is also available.
This is a technical review article (not a market event) describing simulation-driven thermal modeling for SiC and GaN power converters. It states that wide-bandgap (WBG) devices switch faster, offer higher breakdown voltages, and conduct with lower on-resistance per unit area, but heat is concentrated in a very small area, with local heat fluxes that can easily reach several kilowatts per square centimeter; unmanaged heat can cause thermal runaway, gate oxide degradation, solder joint cracking, and catastrophic device failure. A recent review in the MDPI journal Electronics highlighted that WBG performance is mainly constrained by the position of heat generation within the device and the effectiveness of heat dissipation from the package, rather than just the electrical characteristics of the semiconductor itself. The article notes 4H-SiC has thermal conductivity at room temperature about 3× that of silicon (about 490 W/m·K versus 150 W/m·K), but its thermal conductivity decreases significantly and nonlinearly under operation; lateral GaN HEMTs concentrate heat in a microscopic region near the gate edge, can develop local hot spots, and require high spatial resolution in the gate-drain region for thermal modeling. The described simulation toolchain has three levels: device/package-level 3D FEA/CFD simulation (e.g., Ansys Icepak, Siemens Simcenter Flotherm), reduced-order models (Cauer/Foster RC network ROMs, including Siemens' Embeddable BCI-ROM technology that allows sharing an accurate packaged-device thermal model while protecting OEMs' IP), and system-level electrothermal co-simulation. The article cites Onsemi, working with Ansys, developing a multifidelity thermal modeling process to validate SiC MOSFET power modules used in industrial applications, and describes machine-learning-based fast junction temperature estimation. The source contains no price, capacity, supply-demand, or market-change information.
Tongtai Machine & Tool said it had order visibility for its printed circuit board (PCB) drilling equipment through the end of 2027 as AI infrastructure demand increased pressure on high-end board production. The Taiwan-based machine tool maker presented its latest solutions at the Taiwan Printed Circuit Association Show 2026, highlighting CCD high-precision drilling machines and an unmanned drilling-station system for AI server boards and IC substrates.
Genius Electronic Optical (GSEO) has entered into a strategic partnership with 3M to develop, manufacture and expand production capacity for 3M's Expanded Beam Optical (EBO) solutions. As part of the deal, 3M will invest NT$4.8 billion (US$147.1 million) through a private placement and is expected to complete the transaction in the fourth quarter of 2026. The source does not state the cause.
Murata Manufacturing Co., Ltd. announced the development of the world's smallest 008004-inch size (0.25mm × 0.125mm) NTC thermistor, the NCU01 series (the 'world's smallest' claim is based on Murata research as of October 19, 2026). Compared with Murata's previous smallest 01005-inch size (0.4mm × 0.2mm) product, the new series reduces mounting area by approximately 60% while achieving equivalent temperature-sensing performance, with resistance tolerance of ±1% and B-constant tolerance of ±1%. Murata plans to begin sample shipments in October 2026 and mass production during 2027, with the lineup to be expanded progressively, beginning with 100kΩ and 10kΩ resistance values. Primary applications include temperature monitoring on circuit boards in smartphones and wearable devices, as well as in IC packages and system-in-package (SiP) modules. This is a planned product development announcement; sample shipments and mass production have not yet been realized.
According to a DIGITIMES Insight report, generative AI is pushing chip power consumption and heat flux to unprecedented levels, driving AI packaging thermal management requirements from several hundred watts to the kilowatt (kW) scale. Heat sink specialist Jentech Precision points out that package lids are evolving beyond conventional solid-state heat conduction toward phase-change heat spreading and microchannel liquid cooling, with TIM-less architectures representing the next horizon. The source does not state a timeline or specific implementation plan.
AI chip packaging thermal managementpackage lidsheat sinksJentech PrecisionDigiTimes Asia
TDK InvenSense is developing low-cost magnetic sensor technology for humanoid robot joints. TDK Vice President Jung Do-hyung said at THE ELEC's 'Semiconductors Powering Humanoids' conference, held at COEX in Seoul on Oct. 16, that the company is working with robotics manufacturers to develop humanoid joint measurement solutions using magnetic sensors. The solution uses a simple configuration of one magnet and one sensor to measure joint angles and could potentially replace encoders in certain joints, including fingers, using TMR sensors and Hall sensors: TMR sensors measure changes in electrical resistance caused by magnetic fields and offer higher measurement accuracy than Hall sensors, which measure voltages generated in response to magnetic fields; Hall sensors can also detect three-dimensional positions in ball-shaped joints. The stated background is that sensor costs increase as the number of joints grows, with fingers presenting particular challenges as multiple joints are concentrated in confined spaces. Jung said that for applications requiring only angle measurement, accuracy is likely lower than encoders, but the sensors are smaller, consume less power and are considerably cheaper; the company is also developing magnetic encoders for joints requiring precise position control and is applying magnetic sensor technology previously used in smartphones and automobiles to robotic joints.
Taiwan's display industry, once a global LCD manufacturing powerhouse, has weathered financial crises, antitrust penalties and fierce competition from state-backed Chinese rivals. After three decades of boom-and-bust cycles, its leading manufacturers are seeking a new future beyond screens, leveraging their expertise in precision manufacturing to enter automotive electronics, advanced semiconductor packaging and AI-related technologies. The source does not name specific manufacturers or provide a timeline.
Lens Technology is pursuing a proposed US$25 million acquisition of a controlling stake in PMG International to enter the AI server cooling market, gaining access to server rack manufacturing and liquid-cooling technologies. The transaction remains proposed and has not been effected; the source does not state the cause. This move would further diversify the company beyond its existing consumer electronics and automotive components businesses.
server rack manufacturingliquid-cooling technologiesLens Technology, PMG InternationalDigiTimes AsiaPartnership/M&A
According to a technical analysis from the SPIE Digital Library, conventional extreme-ultraviolet (EUV) lithography uses a 13.5-nanometer wavelength projected through reflective optics with a custom photomask per layer, and can print extremely small features at high throughput, but every new design requires an expensive mask set. Maskless EUV lithography proposes storing patterns not on a physical mask but using a programmable array or another rapidly addressable optical element to write digital patterns directly onto the wafer, avoiding the serial point-by-point speed bottleneck of electron-beam lithography, shortening iteration cycles and lowering the fixed cost of small-volume production. The article states the approach is not a simple replacement for EUV scanners or e-beam tools: EUV radiation is strongly absorbed by most materials, so the system must operate in vacuum with specialized reflective optics; a programmable pattern generator must maintain nanometer-scale placement accuracy under EUV exposure, control heat and contamination, and avoid adding defects; photoresist stochastic variation at very small dimensions and real-time delivery of vast pattern files are further challenges. First successful applications would likely be selective—rapid prototyping, low-volume advanced devices, research, mask repair, or particular critical layers—rather than a wholesale takeover of high-volume lithography. This is background technical analysis; no specific manufacturers, volumes, prices or orders are cited.
Kulicke & Soffa reported fiscal Q3 2026 net revenue of $330.4 million, up 123% year-over-year, with gross margin of 47.8% and non-GAAP EPS of $1.20, beating expectations. The company guided to roughly $375 million for Q4 fiscal 2026 ending October 3, 2026, citing strengthening demand across semiconductor, memory, automotive, and industrial markets.