AI’s growing use in investigations raises new legal challenges, from verifying evidence authenticity to constitutional rights ...

Tariq Shajahan and Willem Niesing of NLO analyse dredging-related patent filings in key jurisdictions and highlight ...

Forensic value portfolios using Beneish, Altman, Ohlson, and Montier algorithms have outperformed the S&P 500 since 2017.

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

How a team at UC Berkeley devised a multi-sensor smell system and combined it with machine learning to create a more ...

Using the theory of memes to explore the success of calorie recommendations and the features of culture, cognition, behaviour ...

For many landlords and property managers, this data-driven process has an appealing aura of objectivity, consistency, and ...

Searching for flood victims is a type of wilderness search and rescue that presents unique challenges. The goal for machine ...

Emerging wireless demands are reshaping how next-generation networks are built, from spectrum strategy to intelligent signal ...

The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...

Dr Christian Kunz and Marwan Ezzat of Bär & Karrer argue that as AI tools converge, technical literacy, governance, and data ...

When I ask whether artificial intelligence can “think,” however, I often look upon a sea of blank faces. What is “thinking,” and how is it the same or different from “intelligence”? We might treat the ...