Large Language Models and vision-language models have shown remarkable success in the front-end design of Very Large-Scale Integrated Circuits, yet their capabilities for VLSI physical design remain significantly underexplored. The primary cause is the lack of standardized benchmarks for evaluating agentic physical design workflows that require high-dimensional, multi-stage optimization under strict design constraints, coordinated interaction wi... Read more ›
You'd think that given the same bytes of input you'd get the same bytes of output. lol. lmao. No, you don't. It's complicated. Read more ›
Your bank has the data. But to actually use it — check cash position, reconcile transactions, understand burn — you have to export it, paste it somewhere else, and do the work outside your account. Mercury Command closes that loop. It's AI built directly into Mercury that surfaces insights and takes action from your live account data. Ask what you need to know, then act on it instantly — follow up on an outstanding invoice, set a limit on a card, categorize a transaction — all in the same con... Read more ›
Bayesian Neural Networks (BNNs) offer opportunities for greatly enhancing the trustworthiness of conventional neural networks by monitoring the uncertainties in decision-making. A significant drawback for BNN inference at the extreme edge, however, is the imperative need to incorporate Gaussian Random Number Generators (GRNG) within each neuron. State-of-the-art GRNG algorithms heavily depend on multiple arithmetic operations and the use of exte... Read more ›
Embedded devices from wildlife monitoring stations to clinical wearables require local AI inference due to latency, communication, or privacy constraints. Optimizing models for heterogeneous microcontrollers (MCUs) requires simultaneously satisfying hard physical constraints on memory, power, and temperature while preserving accuracy, a multidimensional optimization that is today performed manually by experts. We ask whether an LLM agent can aut... Read more ›
High-Level Synthesis (HLS) enables rapid hardware development by translating C/C++ programs into hardware implementations. Functional consistency verification between golden C specifications and HLS-oriented C implementations is a critical yet labor-intensive task in HLS design flows. While Large Language Models (LLMs) have recently shown promise in automated testbench generation, their stochastic nature often leads to insufficient coverage, inc... Read more ›