Cambridge, UK, 17th September 2025: Hiverge, a start-up launched by former Google DeepMind research leaders, has secured $5 million in seed funding for its “algorithm factor,”, aiming to discover algorithms that help organisations improve their operations at scale. Flying Fish Ventures led the round, with Ahren Innovation Capital and Jeff Dean among the other investors. Hiverge aims to provide businesses […]
ACM Global Technology Policy Council Releases Joint Statement on Principles for Responsible Algorithmic Systems by US and Europe Policy Committees
November 5, 2022 by
The Association for Computing Machinery’s global Technology Policy Council (TPC) has released a new Statement on Principles for Responsible Algorithmic Systems authored jointly by its US (USTPC) and Europe Technology Policy Committees (Europe TPC). Recognizing that algorithmic systems are increasingly used by governments and companies to make or recommend decisions that have far-reaching effects on individuals, organizations and society, the ACM Statement lays out nine instrumental principles intended to foster fair, accurate, and beneficial algorithmic decision-making.
NIST Completes 3rd Round of Post-Quantum Cryptography Standardization Process
July 7, 2022 by
Washington, DC — The U.S. National Institute of Standards and Technology (NIST) announced it has completed the third round of the Post-Quantum Cryptography (PQC) standardization process, which selects public-key cryptographic algorithms to protect information through the advent of quantum computers. A total of four candidate algorithms have been selected for standardization, and four additional algorithms […]
DOE Announces $10M for Novel Algorithms for Understanding Energy Systems and Processes
April 19, 2022 by
April 19, 2022 — Today, the U.S. Department of Energy (DOE) announced $10 million for basic research in the design, development, and scalability of randomized algorithms for scientific computing. The funding opportunity announcement, sponsored by the Advanced Scientific Computing Research program within the Department’s Office of Science, can be found here. “Randomized algorithms are accelerating the time to […]
Video Enhancement AI Algorithms – Creating Professional-Grade Video Quality from a Front-Facing Smartphone Camera
December 8, 2021 by
In this contributed article, Andreas Lifvendahl, CEO of Imint, discusses video enhancement AI algorithms – and their role in enabling professional-grade smartphone video content. He shows how the future is bright for video enhancement algorithms, and thus, promising for smartphone camera quality as a whole.
Facebook and the Power of Big Data and Greedy Algorithms
April 23, 2021 by
In this contributed article, Dr. Chirag Shah, associate professor in the Information School at the University of Washington, highlights how experts say Facebook has the power to squash its competition, steer American politics, and even influence users’ free will. Is Facebook violating the ethical constraints of data collection? Is the algorithm taking on a life of its own?
Book Review: Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
September 28, 2020 by
We’re seeing a rising number of new books on the mathematics of data science, machine learning, AI and deep learning, which I view as a very positive trend because of the importance for data scientists to understand the theoretical foundations for these technologies. In the coming months, I plan to review a number of these […]
Compendium of articles published on Numerical Algorithms for HPC Science
February 10, 2020 by
The Royal Society Publishing has recently released a special compendium of articles based on a recent scientific discussion meeting with HPC Industry thought leaders. “This issue contains contributions from those who develop and implement numerical algorithms and software libraries – numerical analysts, computer scientists, and high-performance computing researchers – with those who use them in some of today’s most challenging applications.”
Algorithms: Not Evil, Helpful
July 9, 2019 by
INFORMS member Gah-Yi Ban of the London Business School breaks down what algorithms are and how they are useful in a unique talk at a TEDx event. She compares algorithms to evil beings and says it’s a common misconception. Ban helps people understand the role of algorithms in our present lives and how we can shape their role in our future.
