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There’s a lot of angst about software developers “losing their jobs” to AI, being replaced by a more intelligent version of ChatGPT, GitHub’s Copilot, Google’s foundation model Codey, or something similar.

AI startup founder Matt Welsh has been talking and writing about the end of programming. He’s asking whether large language models (LLMs) eliminate programming as we know it, and he’s excited that the answer is “yes”: Eventually, if not in the immediate future.

The researchers were successful in showing the relationship between activin A and bone erosion in cholesteatoma. “Our study showed that targeting activin A is a potential treatment in the management of cholesteatomas,” says senior author Masaru Ishii, MD, PhD, professor.

Currently in clinical settings, the only effective treatment for cholesteatomas is complete surgical removal. However, the discovery of how a cholesteatoma can cause bone erosion in this study offers new hope for developing novel medical treatments as first-line management for cholesteatomas.

“A cholesteatoma can still return or happen again even after its surgical removal, so it is important to know what is actually causing it,” notes lead author Kotaro Shimizu.

SpaceX performed a static fire test of a Super Heavy booster on Sunday to evaluate changes to the vehicle and launchpad following April’s maiden flight.

(CNN) — Astronomers have used the James Webb Space Telescope for a fresh perspective of an iconic celestial favorite called the Ring Nebula.

The new image captures never-before-seen details within the colorful nebula, located in the Lyra constellation about 2,600 light-years from Earth.

The structure of the Ring Nebula can be glimpsed through amateur telescopes and has been observed and studied for years.

Pythagoras first discovered that the vibrations of strings are drastically enhanced at certain frequencies. This discovery forms the basis of our tone system. Such natural vibrations ubiquitously exist in objects regardless of their size scales and are widely utilized to derive their species, constituents, and morphology. For example, molecular vibrations at a terahertz rate have become the most common fingerprints for the identification of chemicals and the structural analysis of large biomolecules.

Recently, natural vibrations of particles at the mesoscopic scale have received growing interest, since this category includes a wide range of functional particles, as well as most biological cells and viruses. However, natural vibrations of these mesoscopic particles have remained hidden from existing technologies.

These particles with sizes ranging from 100 nm to 100 μm are expected to vibrate faintly at megahertz to gigahertz rates. This frequency regime could not be resolved by current Raman and Brillouin spectroscopies, however, due to strong Rayleigh-wing scattering, while the performances of piezoelectric techniques that are widely exploited in macroscopic systems degrade significantly at frequencies beyond a few megahertz.

On any given day, Dallas motorists traveling along I-20 or I-45 are likely to be sharing the road with a self-driving truck that has the equivalent of a learner’s permit.

Why it matters: Dallas is the hub of autonomous truck testing and development, thanks to its vital freight corridors, business-friendly policies and generally favorable weather.

Read more about Airtel introduces Xstream AirFiber for ultimate 5G-powered wireless home Wi-Fi experience on Devdiscourse.

Beijing’s compromise of Tokyo’s classified cyber networks could prevent greater strategic coordination between Japan’s Defense Ministry and the Pentagon.

Through a scattering medium such as ground glass? Traditionally, this would be considered impossible. When light passes through an opaque substance, the information carried within the light becomes “jumbled up”, almost as if undergoes complex encryption.

Recently, a remarkable scientific breakthrough by Professor Choi Wonshik’s team from the IBS Center for Molecular Spectroscopy and Dynamics (IBS CMSD) has unveiled a method to leverage this phenomenon in the fields of optical computing and machine learning.

Machine learning is a subset of artificial intelligence (AI) that deals with the development of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning is used to identify patterns in data, classify data into different categories, or make predictions about future events. It can be categorized into three main types of learning: supervised, unsupervised and reinforcement learning.