The following article is an excerpt (Chapter 3) from the book Hands-On Big Data Modeling by James Lee, Tao Wei, and Suresh Kumar Mukhiya published by our friends over at Packt. The article addresses ...

Building an artificial intelligence (AI) model requires a significant investment of time and effort. The planning, development and fine-tuning stages can be meticulous and resource-intensive. However, ...

AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

The FDA and EMA recognize the potential of AI in ADMET prediction, as long as models are transparent and well-validated. 6, 7 Yet significant challenges persist, particularly around inconsistent data ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. AI has provided a bedrock of change and innovation across industries, but what kind of data ...

In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.

Upstream Bio, Inc. presented data at the European Academy of Allergy & Clinical Immunology Congress highlighting the advantages of verekitug, a treatment targeting the TSLP receptor, over tezepelumab, ...