We've shown you how BMW used distilled water injection to help keep things cool inside the hard-working engine of the M4 GTS.

It was a grim and cloudy day in 1903 when astronomer George Hale made the arduous hike up the San Gabriel Mountains to "Wilson's Peak" to find a location for his proposed observatory. Hale found the ...

The latest 718 Cayman GTS 4.0 is a visual greatest hits of the nameplate. While dimensionally larger than the 987 generation, the 982 iteration’s body lines and pronounced rear hips clearly draw on ...

This video reviews the Porsche 911 GTS from an ownership perspective, highlighting its everyday usability, comfort, and performance. Viewers will see how the 911 GTS balances sports car dynamics with ...

Energy Transfer is one of the largest midstream operators in North America. The business is largely fee-based, which provides reliable cash flows to cover the large 7.5% yield on offer. A key insider ...

Like Monday follows Sunday, a convertible version of Ferrari’s mid-engined supercar always follows hot on the heels of the coupe. For many years that drop-top was called ‘Spider’, since the days of ...

In 2023, Porsche started to refresh the Cayenne lineup, but it waited until 2024 to complete it with the GTS version, which was considered by many the best of both worlds in terms of performance and ...

The investment seeks investment results that correspond (before fees and expenses) generally to the price and yield performance of its underlying index, the Alerian MLP Infrastructure Index. The fund ...

I've spent the past few days binging the latest expansion pack for The Sims 4 (yes, there's yet another new piece of paid DLC – but hear me out here), and it's safe to say my time with it has been ...

To make the world smarter, happier, and richer. Founded in 1993, The Motley Fool is a financial services company dedicated to making the world smarter, happier, and richer. The Motley Fool reaches ...

Abstract: Infrared small target detection (IRSTD) faces various challenges such as long distances, weak features, and small scales. While methodologies based on convolutional neural networks (CNNs) ...

Abstract: Medical image segmentation is a challenging and popular task in the field of medical image processing in recent decades. Most of the current mainstream segmentation networks are based on ...