Scientists are conducting experiments in search of evidence of a possible critical point in the Quantum Chromodynamics phase diagram. Quantum chromodynamics describes how the strong force binds quarks and antiquarks together to form protons, neutrons, and other particles known as hadrons.
Researchers at Ludwig-Maximilians-Universität, Max-Planck-Institut für Quantenoptik, Munich Center for Quantum Science and Technology (MCQST) and the University of Massachusetts recently carried out a study investigating the equilibrium fluctuations in large quantum systems. Their paper, published in Nature Physics, outlines the results of large-scale quantum simulations performed using a quantum gas microscope, an experimental tool used to image and manipulate individual atoms in ultracold atomic gases.
The discovery of two entangled quarks at the large Hadron Collider is the highest-energy observation of entanglement ever made.
The large language models that have increasingly taken over the tech world are not “cheap” in many ways. The most prominent LLMs, such as GPT-4, took some $100 million to build in the form of legal costs of accessing training data, computational power costs for what could be billions or trillions of parameters, the energy and water needed to fuel computation, and the many coders developing the training algorithms that must run cycle after cycle so the machine will “learn.”
But, if a researcher needs to do a specialized task that a machine could do more efficiently and they don’t have access to a large institution that offers access to generative AI tools, what other options are available? Say, a parent wants to prep their child for a difficult test and needs to show many examples of how to solve complicated math problems.
Building their own LLM is an onerous prospect for costs mentioned above, and making direct use of the big models like GPT-4 and Llama 3.1 might not immediately be suited for the complex reasoning in logic and math their task requires.
New research suggests that black holes may actually be “frozen stars,” bizarre quantum objects that lack a singularity and an event horizon, potentially solving some of the biggest paradoxes in black hole physics.
Humans have been trying to cheat death for thousands of years. Myths about elixirs promising immortality span various cultures, as do real concoctions that often did more harm than good. One of the most misguided attempts at creating a potion for immortality involved the first emperor of China and mercury pills. In his obsession with finding a formula that would grant him eternal life, Qin Shi Huang downed mercury and other toxic substances nearly two millennia ago, believing his alchemists had hit upon the perfect magical tonic. Unsurprisingly, he died prematurely at age 49.
Archeologists have discovered another 2,000-year-old “elixir for immortality” that sheds light on the true cost of chasing down eternal life.
While excavating the tomb of a Western Han noble family in China’s Henan province in 2018, researchers unearthed a bronze pot. At first, the team thought the liquid inside was wine, but more recently determined that it was an alchemist’s formulation: a yellow liquid containing potassium nitrate and alunite. These two ingredients are cited in ancient Taoist texts as ingredients for immortality. Potassium nitrate is an inorganic salt used today as a natural source of nitrate, and is a useful ingredient in food preservatives, fertilizer, and fireworks. Alunite is a mineral that forms in volcanic or sedimentary environments when sulfur-rich minerals oxidize. It has historically been used to make alum, which is important for water purification, tanning, and dyeing.
Episode · The Joy of Why · Nothing escapes a black hole… or does it? In the 1970s, Stephen Hawking described a subtle process by which black holes can “evaporate,” with some particles evading gravitational oblivion. This phenomenon, now dubbed “Hawking radiation,” seems inherently at odds with general relativity, but it gets weirder still: If particles can escape, do they preserve some information about the matter that was obliterated? Leonard Susskind, a physicist at Stanford University, found himself at odds with Hawking when it came to answering this question. In this episode, co-host Janna Levin speaks with Susskind about the “black hole war” that ensued and the powerful scientific lessons that have radiated from one of the most famous paradoxes in physics.
“I estimate that 80% of 80% of all jobs, maybe more, can be done by an AI,” famed investor and entrepreneur Vinod Khosla has warned. “Be it primary care doctors, psychiatrists, sales people, oncologists, farm workers or assembly line workers, structural engineers, chip designers, you name it.”
Say hello to a universal income and a 3-day week.
Last week, team scientists and the internet alike were amazed when Perseverance spotted a black-and-white striped rock unlike any seen on Mars before. Is this a sign of exciting discoveries to come?
In quantum computing, “magic” refers to a special quality of quantum states that is essential for enabling powerful, fault-tolerant quantum computations.
Coherent noise affecting a random error correcting code is now shown to produce aion between phases that accumulate and destroy magic.
