Dr. Alex Yakovlev is a prominent figure in computer system design, known for his pioneering work in low-power asynchronous circuit design and automation. A professor at Newcastle University and co-founder of Literal Labs, Yakovlev's influence extends across academia and industry, particularly in areas like logic-based AI. Literal Labs, under Yakovlev's direction, focuses on developing energy-efficient AI models using innovative techniques derived from the Tsetlin machine, standing out for their speed and low energy consumption compared to traditional neural networks. Here, we explore ten fascinating insights into Dr. Yakovlev's professional journey and the groundbreaking work of Literal Labs.
Dr. Alex Yakovlev's academic journey began in St. Petersburg, where he conducted PhD research under Victor Varshavsky, a notable figure whose mentor inspired the Tsetlin Machine concept. Over the years, Yakovlev has published more than 700 research papers and authored eight books, establishing himself as a leading expert in asynchronous systems and their applications in AI hardware.
Since 2000, Dr. Yakovlev has led the Microsystems Group at Newcastle University and founded the Asynchronous Systems Lab. This facility has been instrumental in advancing the design and development of asynchronous circuits, attracting more than 70 PhD students who have contributed to numerous breakthroughs in the field.
Literal Labs, co-founded by Yakovlev, is pioneering AI models inspired by the Tsetlin Machine, an approach based on propositional logic. This methodology offers substantial advantages in terms of efficiency and speed, outperforming traditional neural networks in energy consumption and computation.
Literal Labs has demonstrated its technology's capabilities through MLPerf Anomaly detection benchmarks, showcasing models that are 54 times faster in inferencing and consume 52 times less energy than neural networks, making them highly suitable for limited-resource environments.
Literal Labs was born from Newcastle University's emphasis on technology research, marking the first significant investment by Northern Gritstone related to the institution. This spin-out underscores the university's role in fostering innovative solutions with real-world applications.
In 2025, Literal Labs successfully raised £4.6M in pre-seed funding, backed by Northern Gritstone and Mercuri, among others. This financial boost is intended to expand the engineering team and accelerate the delivery of the company's first commercial product, planned for later this year.
The CEO role at Literal Labs is held by Noel Hurley, a former ARM executive known for leading product marketing and CPU divisions. His industry experience complements the deep technical expertise brought by Yakovlev and other founders, positioning Literal Labs as a leader in AI innovation.
Literal Labs targets sectors such as healthcare and edge AI, focusing on applications where energy efficiency and AI explainability are critical. The company's logic-based approaches are particularly advantageous in regulatory and energy-sensitive markets.
Dr. Yakovlev's and Literal Labs' work in developing more sustainable AI models aligns with global efforts to reduce the carbon footprint of digital technologies. By prioritizing efficiency, their work contributes to more responsible AI practices worldwide.
As Literal Labs positions itself to launch its first commercial product, its innovative approaches promise to redefine how AI is deployed in power-constrained settings. This potential for scalability and practical impact highlights Yakovlev's commitment to translating research into impactful technology.
Dr. Alex Yakovlev's career is marked by groundbreaking contributions to AI and circuit design, reflecting a dedication to pushing the boundaries of technology in both academia and industry. His leadership at Literal Labs heralds a new era of logic-based AI that is not only more efficient but also more sustainable. As AI adoption accelerates, the work of Yakovlev and his collaborators stands as a testament to the transformative power of innovative thinking and interdisciplinary collaboration.