Rishad Shafik

Welcome to the Microsystems group, Professor #EmreOzer (Senior Director of Process Development at #Pragmatic). Looking forward to working together.

We are looking for a Machine Learning Researcher to join our SONNETs programme team. You will collaborate with top-tier researchers to develop an event-triggered, large-scale, and distributed #ML framework for tackling national-scale challenges.

URL: tinyurl.com/SONNETS-PDRA

This is a great initiative, @gconstantinides.bsky.social. More funding support for training future researchers is a welcome move.

Paper 2: Runtime Tunable Tsetlin Machines for Edge Inference on eFPGAs, led by Tousif Rahman - presents a dynamically reconfigurable Tsetlin machine inference architecture implemented on eFPGAs. Pre-print to be made available soon.

Paper 1: ETHEREAL: Energy-efficient and High-throughput Inference using Compressed Tsetlin Machine, led by Shengyu Duan. It presents an ultra low-complexity compression method for sparse Tsetlin machine inference models. Pre-print to be made available soon.

We are pleased to have two of our papers accepted at Edge AI Research Symposium 2025 (previously known as hashtag#TinyML Research Symposium), Austin, TX, US. Looking forward to attending this specialist symposium.

This book chapter will be part of an Edited Book to be published by Springer USA; there will be a separate announcement for this soon by the editors.

Pre-print: tinyurl.com/tinyMLChapte...

We (Omar Ghazal, Tousif Rahman and I) are really pleased to jointly author this important tutorial book chapter that introduces state-of-the-art and emerging tinyML innovation fronts to date.

TinyML (often also referred to as the Edge Machine Learning Paradigm) is a well known concept that has been evolving fast with innovations from multiple fronts: applications, algorithms, hardware/software co-designs and their implementations.

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences: Vol 383, No 2288

The theme issue features 11 top-quality contributions. If you work on emerging technologies, machine learning accelerators and secure hardware design - the issue is totally worth browsing through and read. The issue is published TODAY. Issue link: tinyurl.com/3be5pr4d

It was a pleasure to jointly guest edit a Royal Society Philosophical Transactions A special theme issue on ‘Emerging technologies for future secure computing platforms’ with Farhad Merchant, Shahar Kvatinsky and Subramanian Iyer.

A few more days until the deadline. Please apply ASAP.

If you have excellent programming skills and aspire to take on new machine learning pipelines applied in large-scale time-series problems, apply or share.

tinyurl.com/sonnetsRA24

Congratulations #OmarAwf for getting 'IMPACT : In-Memory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference' accepted in the RS Phil. Trans. A. It reports the first-ever Y-flash based #TsetlinMachine design on 180-nm tech.

Pre-print: arxiv.org/abs/2412.05327