Abstract: Lempel-Ziv complexity (LZC) is extensively utilized in the identification of bearing faults. The present enhancement in LZC encoding relies on time-domain information. When the magnitude of ...

The US Navy has adjusted accordingly to this changing character of war. In 2024, the Navy moved Information Warfare (IW) out of the Restricted Line officer category and into a newly minted Information ...

AI tooling is easier to adopt than ever, but many startups are layering models, frameworks, and APIs long before they understand their real value. This article examines how premature AI stacks create ...

After a year of frenzied dealmaking and rumors of an upcoming IPO, the financial scrutiny into OpenAI is intensifying. Leaked documents obtained by tech blogger Ed Zitron provide more of a glimpse ...

OpenAI has signed a $38 billion deal with Amazon Web Services, and will immediately start accessing Nvidia's graphics processing units. It's one of OpenAI's biggest moves away from Microsoft, which ...

Airlines list all flight departure and arrival times in the local time of the respective airports. Travelers do not need to calculate time zone differences or daylight saving changes, as airlines ...

Abstract: The signals from human expressions are usually multimodal, including natural language, facial gestures, and acoustic behaviors. A key challenge is how to fuse multimodal time-series signals ...

Decades of research has viewed DNA as a sequence-based instruction manual; yet every cell in the body shares the same genes – so where is the language that writes the memory of cell identities?

TeraWulf (NASDAQ:WULF) shares jumped 20% in Tuesday morning trading after the company said it struck a 25-year AI compute joint venture with Fluidstack to build 168 megawatts of high-performance ...

This is the Obsidian notes for ML & AI learnings purposes based on different sources that one could find with plain language and easy to understand content. The engineering section is being enhanced ...

A new study from MIT suggests the biggest and most computationally intensive AI models may soon offer diminishing returns compared to smaller models. By mapping scaling laws against continued ...