Startup Funding: Q1 2026


The new year started off with a bang for private semiconductor companies, with 18 garnering mega funding rounds exceeding $100 million, and two, Rapidus and Cerebras, reaching the $1 billion mark. Predictably, the vast majority of those are either designing chips primarily for AI inference workloads or attempting to overcome bandwidth limitations by improving interconnects from the chip level t... » read more

Why Hardware Monitoring Needs Infrastructure, Not Just Sensors


Chipmakers need comprehensive hardware monitoring, with monitors (Agents) and sensors distributed throughout their devices, to manage the growing complexity and scale of modern SoCs. As designs now incorporate billions of transistors, multiple power and clock domains, and advanced process technologies, traditional characterization, test, and guard-banding approaches no longer provide sufficient... » read more

GPU Rowhammer Attacks Beyond Data Corruption (U. of Toronto)


A new technical paper, "GPUBreach: Privilege Escalation Attacks via GPU Rowhammer," was published by researchers at University of Toronto. Summary "GPUBreach shows that GPU Rowhammer attacks can move beyond data corruption to real privilege escalation. By corrupting GPU page tables, an unprivileged CUDA kernel can gain arbitrary GPU memory read/write, and then chain that capability into CPU... » read more

Silent Data Corruption: A Major Reliability Challenge in Large-Scale LLM Training (TU Berlin)


A new technical paper, "Exploring Silent Data Corruption as a Reliability Challenge in LLM Training," was published by researchers at Technische Universitat Berlin. Abstract "As Large Language Models (LLMs) scale in size and complexity, the consequences of failures during training become increasingly severe. A major challenge arises from Silent Data Corruption (SDC): hardware-induced faults... » read more

An Engineering Roadmap Toward Completely Neural Computers (Meta AI, KAUST)


A new technical paper, "Neural Computers," was published by researchers at Meta AI and KAUST. Abstract "We propose a new frontier: Neural Computers (NCs) -- an emerging machine form that unifies computation, memory, and I/O in a learned runtime state. Unlike conventional computers, which execute explicit programs, agents, which act over external execution environments, and world models, w... » read more

Study of EUV Nanostructures Using AFM With High-Aspect Ratio Tip (Purdue, Intel, Bruker)


A new technical paper, "Characterizing tip-sample interaction dynamics on extreme ultraviolet nanostructures using atomic force microscopy with a high-aspect ratio tip," was released by researchers at Purdue University, Intel Corporation and Bruker Corporation. Abstract "Accurate measurements of the nanometer scale geometry of extreme ultraviolet (EUV) lithography photoresist patterns are... » read more

Photonic Packaging Resistant to Extreme Environments (NIST, Johns Hopkins, U. Of Maryland)


A new technical paper, "Photonic chip packaging for extreme environments" was published by NIST, Johns Hopkins and University of Maryland. Abstract "Integrated photonic sensors have advanced significantly in the past decade for an ever-increasing range of applications, driven by the inherent scalability of integrated photonics combined with the precision of nanofabrication. Robust and rug... » read more

Impact of Surface States And Band Modulations in Ruthenium Interconnects (Incheon, Hanyang, UT Dallas)


A new technical paper, "Role of surface states and band modulations in ultrathin ruthenium interconnects," was published by researchers at Incheon National University, Hanyang University and UT Dallas. Abstract "Mitigating the RC delay from transistor miniaturization is essential for next-generation devices, driving a focus on interconnect electrical performance. Current copper-based inte... » read more

PDN Challenges In DRAM-Based Compute-In-Memory Systems (UT Austin)


A new technical paper, "A comparative study on power delivery aspects of compute-in/near-memory approaches using DRAM," was published by researchers at UT Austin. Abstract "Compute-in-memory (PIM) mitigates the memory wall by performing computation within memory, reducing data movement and improving energy efficiency. DRAM-based PIM is particularly attractive due to its high density, matu... » read more

SSD Emulator For Massively Parallel, GPU-Centric Storage (KAIST)


A new technical paper, "SwarmIO: Towards 100 Million IOPS SSD Emulation for Next-generation GPU-centric Storage Systems," was published by KAIST. Abstract "GPU-initiated I/O has emerged as a key mechanism for achieving high-throughput storage access by leveraging massive GPU thread-level parallelism, while recent industry trends point toward SSDs optimized for ultra-high random-read IOPS.... » read more

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