If the hyperscalers are masters of anything, it is driving scale up and driving costs down so that a new type of information technology can be cheap enough so it can be widely deployed. The ...

Acer is making a strong push into the AI inference market through strategic collaborations with MediaTek and Nvidia. On the eve of the Berlin IFA, Acer held its "next@acer" global product launch event ...

Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...

After President Trump fired the head of the Bureau of Labor Statistics, economists and statisticians across the board were horrified. Because the firing raises the spectre of potential manipulation – ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

Katie has a PhD in maths, specializing in the intersection of dynamical systems and number theory. She reports on topics from maths and history to society and animals. Katie has a PhD in maths, ...

In the early 1920s, a trio of scientists sat down for a break at Rothamsted agricultural research station in Hertfordshire, UK. One of them, a statistician by the name of Ronald Fisher, poured a cup ...

Many theories and tools abound to aid leaders in decision-making. This is because we often find ourselves caught between two perceived poles: following gut instincts or adopting a data-driven approach ...

Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Frequentist and Bayesian ...

Repeated measurements of the same countries, people, or groups over time are vital to many fields of political science. These measurements, sometimes called time-series cross-sectional (TSCS) data, ...