Peter Thomas Keaveney caught up with Cavan business O’Reilly plant hire to find out how their Farmi Forest CH38 tractor ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Choosing the right generative AI architecture is crucial for professional problem-solving applications. Generalist models ...

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

Seattle City Light underwent a shift to data-driven utility vegetation management to manage risks and improve reliability.

Researchers have developed the first sort-in-memory hardware system capable of tackling complex, nonlinear sorting tasks ...

Let's say you're reading a story, or playing a game of chess. You may not have noticed, but each step of the way, your mind ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

KAIST (President Kwang Hyung Lee) announced on the 20th that a research team led by Professor Sungjin Ahn in the School of Computing has developed a new technology that significantly improves the ...

Pakistan’s National Database and Registration Authority (NADRA) has implemented a new mobile-based family tree verification system in 2024, designed to combat identity fraud and unauthorized database ...

In today's AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...