Abstract: Machine learning algorithms are implemented in predictive logistics management to optimize the supply chain for vehicle sales. These algorithms are capable of predicting future demand, ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

1 School of Information Engineering, Anhui University of Chinese Medicine, Hefei, China 2 School of Pharmaceutical Economics and Management, Anhui University of Chinese Medicine, Hefei, China ...

Exciting days are ahead for Apple (NASDAQ: AAPL), as the company gears up for a new $100 billion investment in U.S. manufacturing in an attempt to ramp up domestic production and sidestep potential ...

After a couple of volatile weeks, Bitcoin (BTC) experienced a modest rebound on Monday, July 28. However, with major U.S. crypto policy reports due July 30, the flagship digital asset could still ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Abstract: In order to understand audit risk prediction and management, a research on audit risk prediction and management based on machine learning algorithms has been proposed. This paper analyzes ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...