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Mind Blowing Breakthroughs in AI Discover the Future of Narrow, General and Specific AI

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Unlock the secrets of artificial intelligence in this comprehensive video. Explore the different categories of AI, such as narrow or general AI, and discover the differences between them. Delve into specific types of AI, including natural language processing, computer vision, and machine learning. Learn about the practical applications of these technologies and discover how they’re shaping the future. This is a must-see video for anyone interested in understanding the complexities of AI and how it’s transforming our world. Don’t miss out, watch now!

Antibiotic Breakthrough: The Power of a Plant-Derived Toxin

A powerful plant-derived toxin with a unique way of killing harmful bacteria has been identified as one of the most promising new antibiotics in decades.

Albicidin, a new antibiotic, is produced by the plant pathogen Xanthomonas albilineans, responsible for causing sugar cane’s destructive leaf scald disease. The toxin is believed to aid the pathogen’s spread by attacking the plant. Albicidin has been shown to be highly effective against harmful bacteria, including drug-resistant superbugs such as E. coli and S. aureus.

Despite its antibiotic potential and low toxicity in pre-clinical experiments, pharmaceutical development of albicidin has been hampered because scientists did not know precisely how it interacted with its target, the bacterial enzyme DNA.

Unlocking the Mystery of the Stellar Initial Mass Function: A New Breakthrough Discovery

The fate of galaxies is determined by the initial mass distribution at the birth of a new population of stars in the diverse and vast Universe. This relationship is referred to as the Initial Mass Function (IMF

In the field of astronomy, initial mass function (IMF) is an empirical function that details the distribution of stellar masses in a newly formed population of stars.

World-first ‘super’ magnet sparks nuclear fusion breakthrough

A UK firm has announced a world-first set of “super” magnets that can be used for testing nuclear fusion power plants.

Tokamak Energy said the Demo4 magnet has a magnetic field strength that is nearly a million times stronger than the Earth’s magnetic field, making it capable of confining and controlling the extremely hot plasma created during the fusion process.

Nuclear fusion has been hailed as the “holy grail” of clean energy, with scientists working on the technology since the 1950s.

Astronomers discovered breakthrough ring system in our Solar System

The discovery is putting into question everything astronomers believed about ring systems.

Astronomers from the University of Sheffield discovered a new ring system around a dwarf planet on the edge of the Solar System, according to a press release. The discovery calls into question current theories about how ring systems are formed since the ring system orbits much further out than is typical for other ring systems.

Around a dwarf planet.

The ring system is located around a dwarf planet named Quaoar, which is approximately half the size of Pluto and orbits the Sun beyond Neptune.


Paris Observatory.

The astronomers spotted the ring system by using HiPERCAM — an extremely sensitive high-speed camera developed by scientists at the University of Sheffield, which is mounted on the world’s largest optical telescope, the 10.4-meter diameter Gran Telescopio Canarias (GTC) on La Palma.

Scientists develop more comprehensive and realistic earthquake probability model

Northwestern University researchers have made a significant breakthrough in the field of seismology, developing a new earthquake probability model that will help scientists better predict when the next big earthquake will occur on a fault. The model, which was recently published in the Bulletin of the Seismological Society of America, offers a more comprehensive and realistic approach than current models.

Seismologists have long assumed that big earthquakes on faults are relatively regular and that the next quake will occur after a similar amount of time as between the previous two. However, the earth doesn’t always follow this pattern, and earthquakes can sometimes come sooner or later than expected. This is where the new model comes in, as it considers the specific order and timing of previous earthquakes to forecast the next one.

The model also helps explain why earthquakes sometimes come in clusters – groups with relatively short times between them, separated by longer times without earthquakes. The research team, consisting of seismologists and statisticians, was led by Stein, a faculty associate of Northwestern’s Institute for Policy Research (IPR) and co-authored by Professor Bruce D. Spencer and recent Ph.D. graduates James S. Neely and Leah Salditch.

Scientists develop first fabric to automatically cool or insulate depending on conditions

Despite decades of innovation in fabrics with high-tech thermal properties that keep marathon runners cool or alpine hikers warm, there has never been a material that changes its insulating properties in response to the environment. Until now.

University of Maryland researchers have created a that can automatically regulate the amount of heat that passes through it. When conditions are warm and moist, such as those near a sweating body, the fabric allows (heat) to pass through. When conditions become cooler and drier, the fabric reduces the heat that escapes. The development was reported in the February 8, 2019 issue of the journal Science.

The researchers created the fabric from specially engineered yarn coated with a conductive metal. Under hot, , the strands of yarn compact and activate the coating, which changes the way the fabric interacts with infrared . They refer to the action as “gating” of infrared radiation, which acts as a tunable blind to transmit or block heat.

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