Alex Yakovlev
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View article: Topological Valley Photonic Waveguides: Scattering Matrix Evaluation for Linear Computing
Topological Valley Photonic Waveguides: Scattering Matrix Evaluation for Linear Computing Open
Topological boundary modes utilizing valley mode waveguides have opened opportunities in, for instance, the design of high transmission waveguides with tolerance to geometrical defects and sharp bends. Applications of these waveguides incl…
View article: Uncertainty Quantification in the Tsetlin Machine
Uncertainty Quantification in the Tsetlin Machine Open
Data modeling using Tsetlin machines (TMs) is all about building logical rules from the data features. The decisions of the model are based on a combination of these logical rules. Hence, the model is fully transparent and it is possible t…
View article: Efficient FPGA Implementation of Time-Domain Popcount for Low-Complexity Machine Learning
Efficient FPGA Implementation of Time-Domain Popcount for Low-Complexity Machine Learning Open
Population count (popcount) is a crucial operation for many low-complexity machine learning (ML) algorithms, including Tsetlin Machine (TM)-a promising new ML method, particularly well-suited for solving classification tasks. The inference…
View article: Prediction of the infecting organism in peritoneal dialysis patients with acute peritonitis using interpretable Tsetlin Machines
Prediction of the infecting organism in peritoneal dialysis patients with acute peritonitis using interpretable Tsetlin Machines Open
Motivation The analysis of complex biomedical datasets is becoming central to understanding disease mechanisms, aiding risk stratification and guiding patient management. However, the utility of computational methods is often constrained b…
View article: Runtime Tunable Tsetlin Machines for Edge Inference on eFPGAs
Runtime Tunable Tsetlin Machines for Edge Inference on eFPGAs Open
Embedded Field-Programmable Gate Arrays (eFPGAs) allow for the design of hardware accelerators of edge Machine Learning (ML) applications at a lower power budget compared with traditional FPGA platforms. However, the limited eFPGA logic an…
View article: ETHEREAL: Energy-efficient and High-throughput Inference using Compressed Tsetlin Machine
ETHEREAL: Energy-efficient and High-throughput Inference using Compressed Tsetlin Machine Open
The Tsetlin Machine (TM) is a novel alternative to deep neural networks (DNNs). Unlike DNNs, which rely on multi-path arithmetic operations, a TM learns propositional logic patterns from data literals using Tsetlin automata. This fundament…
View article: An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification Accelerator
An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification Accelerator Open
We present an all-digital programmable machine learning accelerator chip for image classification, underpinning on the Tsetlin machine (TM) principles. The TM is an emerging machine learning algorithm founded on propositional logic, utiliz…
View article: IMPACT: In-Memory ComPuting Architecture based on Y-FlAsh Technology for Coalesced Tsetlin machine inference
IMPACT: In-Memory ComPuting Architecture based on Y-FlAsh Technology for Coalesced Tsetlin machine inference Open
The increasing demand for processing large volumes of data for machine learning (ML) models has pushed data bandwidth requirements beyond the capability of traditional von Neumann architecture. In-memory computing (IMC) has recently emerge…
View article: Prediction of the infecting organism in peritoneal dialysis patients with acute peritonitis using interpretable Tsetlin Machines
Prediction of the infecting organism in peritoneal dialysis patients with acute peritonitis using interpretable Tsetlin Machines Open
Motivation The analysis of complex biomedical datasets is becoming central to understanding disease mechanisms, aiding risk stratification and guiding patient management. However, the utility of computational methods is often constrained b…
View article: Atlantool: a command line tool to retrieve DNA and RNA sequencing reads from BAM files by the read identifier
Atlantool: a command line tool to retrieve DNA and RNA sequencing reads from BAM files by the read identifier Open
Motivation DNA or RNA sequencing produce a large volume of data that is usually stored in a Binary Alignment Map (BAM) file format. Processing and analysis of this large genomic data require specialized software tools. The majority of proc…
View article: IMPACT:InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference
IMPACT:InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference Open
The increasing demand for processing large volumes of data for machine learning models has pushed data bandwidth requirements beyond the capability of traditional von Neumann architecture. In-memory computing (IMC) has recently emerged as …
View article: Topological Valley Photonic Waveguides: Scattering matrix evaluation for linear computing
Topological Valley Photonic Waveguides: Scattering matrix evaluation for linear computing Open
Topological boundary modes utilizing valley mode waveguides have opened opportunities in, for instance, the design of high transmission waveguides with tolerance to geometrical defects and sharp bends. Applications of these waveguides incl…
View article: In-Memory Learning Automata Architecture using Y-Flash Cell
In-Memory Learning Automata Architecture using Y-Flash Cell Open
The modern implementation of machine learning architectures faces significant challenges due to frequent data transfer between memory and processing units. In-memory computing, primarily through memristor-based analog computing, offers a p…
View article: Perfect splitting in rectangular-waveguide junctions for analog computing
Perfect splitting in rectangular-waveguide junctions for analog computing Open
It has recently been shown how computing operations such as high-speed switching, routing, and solving partial differential equations can be performed by exploiting perfect splitting of electromagnetic waves in networks of waveguides from …
View article: MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications
MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications Open
System-on-Chip Field-Programmable Gate Arrays (SoC-FPGAs) offer significant throughput gains for machine learning (ML) edge inference applications via the design of co-processor accelerator systems. However, the design effort for training …
View article: APPLICATION OF ARTIFICIAL INTELLIGENCE SYSTEMS FOR RECOGNITION AND EVALUATION OF MOTOR SKILLS AND TECHNIQUES IN HOCKEY
APPLICATION OF ARTIFICIAL INTELLIGENCE SYSTEMS FOR RECOGNITION AND EVALUATION OF MOTOR SKILLS AND TECHNIQUES IN HOCKEY Open
A methodology and tools were developed for recognizing and evaluating the quality of performing techniques and skills in hockey using artificial intelligence methods.
View article: Computing with Clocks
Computing with Clocks Open
Clocks are a central part of many computing paradigms, and are mainly used to synchronise the delicate operation of switching, necessary to drive modern computational processes. Unfortunately, this synchronisation process is reaching a nat…
View article: Solving partial differential equations with waveguide-based metatronic networks
Solving partial differential equations with waveguide-based metatronic networks Open
Photonic computing has recently become an interesting paradigm for high-speed calculation of computing processes using light-matter interactions. Here, we propose and study an electromagnetic wave-based structure with the ability to calcul…
View article: Contracting Tsetlin Machine with Absorbing Automata
Contracting Tsetlin Machine with Absorbing Automata Open
In this paper, we introduce a sparse Tsetlin Machine (TM) with absorbing Tsetlin Automata (TA) states. In brief, the TA of each clause literal has both an absorbing Exclude- and an absorbing Include state, making the learning scheme absorb…
View article: Perfect Splitting in Rectangular Waveguide Junctions for Analogue Computing
Perfect Splitting in Rectangular Waveguide Junctions for Analogue Computing Open
It has been recently shown how computing operations such as high-speed switching, routing, and solving partial differential equations can be performed by exploiting perfect splitting of electromagnetic waves in networks of waveguides from …