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Diehard Elon Musk fans have created a 30-foot-long monument dedicated to their hero – and it cost them over half a million pounds ($600,000).

The unique piece sees the richest man in the world’s head attached to a goat’s body while riding a rocket.

It’s the brainchild of cryptocurrency firm Elon GOAT Token ($EGT), who later this month plan to present it to the billionaire at his Tesla workplace in Austin, Texas.

Flying car startup Airspeeder has completed what it’s referring to as the “world’s first electric flying car race” in the South Australian desert.

While the two competing pilots were steering the two full-scale flying cars remotely, it still made for an epic launch of a brand new kind of motorsport, as seen in a promotional video of the event.

“This is just the start, this first race offers only a glimpse of our promise to deliver the most progressive, transformative and exciting motorsport in the world,” Airspeeder founder Matt Pearson said in a press release.

Recent progress in generative models has paved the way to a manifold of tasks that some years ago were only imaginable. With the help of large-scale image-text datasets, generative models can learn powerful representations exploited in fields such as text-to-image or image-to-text translation.

The recent release of Stable Diffusion and the DALL-E API led to great excitement around text-to-image generative models capable of generating complex and stunning novel images from an input descriptive text, similar to performing a search on the internet.

With the rising interest in the reverse task, i.e., image-to-text translation, several studies tried to generate captions from input images. These methods often presume a one-to-one correspondence between pictures and their captions. However, multiple images can be connected to and paired with a long text narrative, such as photos in a news article. Therefore, the need for illustrative correspondences (e.g., “travel” or “vacation”) rather than literal one-to-one captions (e.g., “airplane flying”).

Artificial Intelligence (AI) is rapidly changing the world. Emerging technologies on a daily basis in AI capabilities have lead to a number of innovations including autonomous vehicles, self-driving flights, robotics, etc. Some of the AI technologies feature predictions on future and accurate decision-making. AI is the best friend to technology leaders who want to make the world a better place with unfolding inventions.

Whether humans agree or not, AI developments are slowly impacting all aspects of the society including the economy. However, some technologies might even bring challenges and risks to the working environment. To keep a track on AI development, good leaders head the AI world to ensure trust, reliability, safety and accuracy.

Intelligent behaviour has long been considered a uniquely human attribute. But when computer science and IT networks started evolving, artificial intelligence and people who stood by them were on the spotlight. AI in today’s world is both developing and under control. Without a transformation here, AI will never fully deliver the problems and dilemmas of business only with data and algorithms. Wise leaders do not only create and capture vital economic values, rather build a more sustainable and legitimate organisation. Leaders in AI sectors have eyes to see AI decisions and ears to hear employees perspective.

“Dwell fatigue” is a phenomenon that can occur in titanium alloys when held under stress, such as a jet engine’s fan disc during takeoff. This peculiar failure mode can initiate microscopic cracks that drastically reduce a component’s lifetime.

The most widely used titanium alloy, Ti-6Al-4V, was not believed to exhibit dwell before the 2017 Air France Flight 66 incident, in which an Airbus en route from Paris to Los Angeles suffered fan disc failure over Greenland that forced an emergency landing. The analysis of that incident and several more recent concerns prompted the Federal Aviation Administration and European Union Aviation Safety Agency to coordinate work across the to determine the root causes of dwell fatigue.

According to experts, metals deform predominantly via dislocation slip—the movement of line defects in the underlying crystal lattice. Researchers hold that dwell fatigue can initiate when slip is restricted to narrow bands instead of occurring more homogenously in three dimensions. The presence of nanometer-scale intermetallic Ti3Al precipitates promotes band formation, particularly when processing conditions allow for their long-range ordering.