AI chip design is now more connected to the system needs. The computer setup, memory structure, fast connections, ...

But RF engineers have run into a different problem. As RF switches shrink, unwanted effects such as parasitic capacitance and contact resistance begin to dominate, and at advanced process nodes those ...

GlobalFoundries (Nasdaq: GFS) (GF) and RAAAM Memory Technologies, a pioneer in advanced on-chip memory solutions, today announced a strategic collaboration to develop and qualify Gain-Cell RAM (GCRAM) ...

Today at its annual GF Technology Summit (GTS) in North America, GlobalFoundries (Nasdaq: GFS) (GF) announced process design kit (PDK) availability for its UX platform family, two new feature-rich ...

Strengthening regional supply chains to enhance Taiwan’s leadership in semiconductor innovation ...

Over the past five years, patent filings sitting directly at the intersection of AI and semiconductor increased by 114%, outpacing the broader combined sector’s 78% growth, according to Anaqua’s study ...

CoAsia SEMI will develop two Internet of Things (IoT) chips for LG Electronics' artificial intelligence (AI) home products. The project runs from July through December 2030, with development costs ...

Choi Jang-seok, executive vice president and head of product planning for Samsung Electronics' Memory Business, presented the company's "CUBE" strategy during a keynote at the Memory Executive Summit ...

ChipAgents, the category leader for Agentic AI platforms in the semiconductor design industry, announced that Andes Technology, a leading supplier of RISC-V processor IP and a Founding Premier member ...

Index Terms, AMBA CHI, AXI4, network-on-chip, directory-based snoop filter, I/O coherency, proxy cache, IOMMU, PCIe 6.x, CXL 3.x, Flex Bus, UCIe, mixed-fabric SoC, heterogeneous SoC.

Safety-Native: MIPS Aegis™ is developer platform for mission-critical physical AI systems that need low-latency and agentic processing.

However, benchmarking ML-DSA comes with a major catch. Unlike the classical primitives it replaces, ML-DSA uses a technique called ‘rejection-sampling’, which in turn leads to timing variability. As a ...