Lifeboat Foundation

The list of unique architectures in the city keeps growing.

The city has showcased its ability to take on architectural challenges by completing the Palm Jumeirah and keeps unveiling tiny projects along the way, such as the world’s largest Ferris Wheel. So, it is not exactly a moonshot when Dubai thinks of building a Moon styled resort as well.

Continue reading “7+ Amazing Facts About Dubai’s Palm Islands” »

They’re among the most interesting astronomical bodies but also one of the most misunderstood. In this video, Fermilab’s Don Lincoln debunks some common misconceptions about black holes and also explains some important truths.

If successful it would revolutionize battlefield surveillance, night vision, and terrestrial & space imaging plus many commercial applications: https://www.darpa.mil/news-events/2022-09-02

Using the Very Large Telescope and the radio telescope ALMA in Chile, a team of astronomers including researchers from the Niels Bohr Institute has discovered a swarm of galaxies orbiting the surroundings of a hyper-luminous and vigorously star-forming galaxy in the early universe. The observation provides important clues to how exceptionally bright galaxies grow, and to how they evolve into energetic quasars, beaming light across most of the observable universe.

THE artificial intelligence revolution has only just begun, but there have already been numerous unsettling developments.

AI programs can be used to act on humans’ worst instincts or achieve humans’ more wicked goals, like creating weapons or terrifying its creators with a lack of morality.

Artificial intelligence is a catch-all phrase for a computer program designed to simulate, mimic or copy human thinking processes.

A team of researchers at University College London, working with a colleague from Nylers Ltd. and another from XPCI Technology Ltd., has developed a new way to X-ray luggage to detect small amounts of explosives. In their paper published in the journal Nature Communications, the group describes modifying a traditional X-ray device and applying a deep-learning application to better detect explosive materials in luggage.

Prior research has shown that when X-rays strike materials, they produce tiny bends that vary depending on the type of material. They sought to take advantage of these bends to create a precision X-ray machine.

The researchers first added a small change to an existing X-ray machine—a box containing masks, which are sheets of metal with tiny holes in them. The masks serve to split the X-ray beam into multiple smaller beams. The researchers then used the device to scan a variety of objects containing embedded explosive materials and fed the results to a deep-learning AI application. The idea was to teach the machine what the tiny bends in such materials looked like. Once the machine was trained, they used it to scan other objects with embedded explosives to see if it could identify them. The researchers found their machine to be 100% accurate under lab settings.