Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

Abstract: With the development of convolutional neural networks, the scale of activation data has increased dramatically, posing significant challenges to model storage and computation. The insight ...

Abstract: Advanced deep-learning methodologies have led to notable improvements in hyperspectral image compression. While most existing deep learning approaches primarily concentrate on reducing ...

The 1982 Chevrolet Camaro Z/28 arrived at a moment when American performance cars were under pressure from every direction, ...

Insperity trades at a depressed valuation after a 70% drawdown, despite having a net-cash balance sheet and historically ...

Intel stock surges 90%, see how Nvidia partnership, vPro upgrades, and ASP growth could offset INTC's margin pressures.

The difference between Ford's 6.8 and 7.3 Godzilla V8 engines comes from a shorter stroke in the former and a lower ...

Overview:  Hybrid USB/XLR mics like Shure MV7+ offer the best versatility for creators scaling from beginner setups to ...

A. From 2013 to 2019, my co-founders and I worked at a company called Team Indus. I was developing guidance, navigation, and ...

Dodge discontinued the iconic Super Bee in 1971, a model year that saw only a tad over 5,000 examples roll off the assembly ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Upscayl uses AI technology to scale images to a larger format. The open source tool adds sharpness and brings details to ...