Evolving Hardware Languages In The Age Of AI And LLMs

This is not about replacing Verilog. It’s about evolving the hardware development stack so engineers can operate at the level ...
GitHub

mk_csr_grp1.v

MUX_rg_mcause_write_1__SEL_1, MUX_rg_mcause_write_1__SEL_2, ...
GitHub

mk_csr_grp2.v

assign RDY_ma_core_req = ff_fwd_request_FULL_N ; assign CAN_FIRE_ma_core_req = ff_fwd_request_FULL_N ; assign mav_fwd_req = ff_fwd_request_D_OUT ; assign RDY_mav_fwd ...
IEEE

A Deep Learning Framework for Verilog Autocompletion Towards Design and Verification Automation

Abstract: Innovative Electronic Design Automation (EDA) solutions are crucial for meeting the design requirements of increasingly complex electronic devices. Verilog, a hardware description language, ...
C&EN

Tutorial: Machine-Learning-Based CREASE-2D Analysis of 2D SAXS Profiles to Characterize Anisotropic Nanostructures in Soft Materials

Data Science Program, University of Delaware, Newark, Delaware 19716, United States Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States ...
Hackaday

Schematic Capture

The guys over at hackshed have been busy. [Carl] is making programmable logic design easy with an 8 part CPLD tutorial. (March 2018: Link dead. Try the Wayback Machine.) Programmable logic devices are ...
Semiconductor Engineering

Largest High-Quality Verilog Dataset for LLM Fine-Tuning (Univ. of Florida)

A new technical paper titled “VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation” was published by researchers at the University of Florida.
Hosted on MSN

IIT Bombay's Spoken Tutorial now a global standard for digital learning

India's EdTech sector just made history. The Spoken Tutorial pedagogy developed by IIT Bombay has officially been recognised as a global IEEE standard -- a first for the country. Titled IEEE P2955, ...
Microsoft

Python+Machine Learning tutorial – Data munging for predictive modeling with pandas and scikit-learn

Building predictive models first requires shaping the data into the right format to meet the mathematical assumptions of machine learning algorithms. In this session we will introduce the pandas data ...