A set of ancient stone tools may have been made by a species unrelated to modern humans, a new finding suggests.
Oil company CEOs greenwash at Houston conference while UN calls for action to halve emissions from the industry this decade.
The fossil fuel industry sees a ‘chaotic’ and ‘painful’ future in curbing their production before proven energy alternatives are in place.
Self-testing is a promising method to infer the physics underlying specific quantum experiments using only collected measurements. While this method can be used to examine bipartite pure entangled states, so far it could only be applied to limited kinds of quantum states involving an arbitrary number of systems.
Researchers at Sorbonne University, ICFO-Institute of Photonic Sciences and Quantinuum recently introduced a framework for the quantum network-assisted self-testing of all pure entangled states of an arbitrary number of systems. Their paper, published in Nature Physics, could inform future research efforts aimed at certifying quantum phenomena.
“I was a postdoctoral researcher in Barcelona in 2014 in the group of Antonio Acín when the first author, Ivan Šupić and I began working on self-testing quantum states together,” Matty Hoban, one of the researchers who carried out the study, told Phys.org. “That is, certifying that you have systems in particular quantum states without trusting the devices and treating them as black boxes (called the device-independent setting). Part of this work involved exploring different kinds of scenarios of trust.”
A venerable strategy for approximating a system’s ground states has now been extended to accommodate its excited states.
Density-functional theory (DFT) owes its name and utility to its central insight: that a potential’s influence on a system of interacting electrons can be expressed in terms of the electrons’ density. Existing models restrict DFT to ground states and exclude excited states. But now Tim Gould of Griffith University, Australia, and his collaborators have found a way to overcome the restriction [1].
At the heart of DFT are exchange-correlation models, which simplify the treatment of electrons’ behavior by using certain limiting cases. This simplification allows DFT to simulate ground states of large electronic systems. A generalization of the theory, called ensemble DFT, can cope with excited states, but this theory’s more complex exchange-correlation models make large systems computationally intractable. Gould and his collaborators discovered that when the electron density is sufficiently low, these complications vanish and the models for dealing with excited states revert to being as simple as those used for regular DFT. Then, regular DFT suffices. At the other extreme—when electron density is high—complications are simplified to the point that exact solutions can be obtained.
On July 21, 1969, Neil Armstrong took that first fateful step onto the Moon. The exact moment occurred just as our planet’s standard universal time hit 2.56 am. But what time was it for Neil?
There’s currently no answer to that question, but with plans in place to inhabit the Moon, that may need to change.
At a recent meeting in the Netherlands, members from space organizations around the world agreed that we need to implement a proper lunar time zone – an internationally accepted common lunar reference time that all future missions can use to communicate and navigate with ease.
“Strap In: GPT-4 Unleashes Incredible Possibilities!”. “Get Ready For Next Week: GPT-4 Is Coming With Mind-Blowing Capabilities!” is published by Liquid Ocelot in InkWater Atlas.
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Yahoo Finance Live discusses Bing reaching 100 million daily active users after Microsoft released it’s ChatGPT integrated features.
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This video explains germline mutations vs somatic mutations.
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Different plant species can be compatible with the same species of mycorrhizal fungi1,2 and be connected to one another by a common mycelium3,4. Transfer of carbon3,4,5, nitrogen6,7 and phosphorus8,9 through interconnecting mycelia has been measured frequently in laboratory experiments, but it is not known whether transfer is bidirectional, whether there is a net gain by one plant over its connected partner, or whether transfer affects plant performance in the field10,11. Laboratory studies using isotope tracers show that the magnitude of one-way transfer can be influenced by shading of ‘receiver’ plants3,5, fertilization of ‘donor’ plants with phosphorus12, or use of nitrogen-fixing donor plants and non-nitrogen-fixing receiver plants13,14, indicating that movement may be governed by source–sink relationships.
Blog post: https://openai.com/blog/new-and-improved-embedding-model/
Abstract: We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use. The new model, text-embedding-ada-002, replaces five separate models for text search, text similarity, and code search, and outperforms our previous most capable model, Davinci, at most tasks, while being priced 99.8% lower.
#nlproc #nlp #artificialintelligence #ml #deeplearning
