Bing Liu’s film is an unflinching portrait of an undocumented Uyghur immigrant and a traumatised US veteran whose fragile connection is strained by their pasts Chinese-American film-maker Bing Liu ...

Abstract: In this article, the Kalman filter design problem is investigated for linear discrete-time systems under binary encoding schemes. Under such a scheme, the local information is quantized into ...

Abstract: Extracting users’ energy consumption patterns (ECPs) from smart meter data is an important work for retailers. The existing literature usually describe these patterns by clustering the daily ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

The Babylonians used separate combinations of two symbols to represent every single number from 1 to 59. That sounds pretty confusing, doesn’t it? Our decimal system seems simple by comparison, with ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

Artificial Intelligence (AI) is advancing rapidly, with today’s systems able to imitate various human cognitive functions such as speech recognition, music composition, disease diagnosis, and even ...

Binary options let investors predict asset price movements for a fixed payout. Investors know potential gain or loss upfront, simplifying risk management. Example: Predicting a stock price increase ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. AI hype is easy to buy into. But behind the scenes, most enterprise teams are struggling with ...