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The discovery of the Higgs boson at CERN’s Large Hadron Collider (LHC) in 2012 marked a significant milestone in particle physics. Since then, the ATLAS and CMS collaborations have been diligently investigating the properties of this unique particle and searching to establish the different ways in which it is produced and decays into other particles.

At the Large Hadron Collider Physics (LHCP) conference this week, ATLAS and CMS report how they teamed up to find the first evidence of the rare process in which the Higgs boson decays into a Z boson, the electrically neutral carrier of the weak force, and a photon, the carrier of the electromagnetic force. This Higgs boson decay could provide indirect evidence of the existence of particles beyond those predicted by the Standard Model of particle physics.

The decay of the Higgs boson into a Z boson and a photon is similar to that of a decay into two photons. In these processes, the Higgs boson does not decay directly into these pairs of particles. Instead, the decays proceed via an intermediate “loop” of “virtual” particles that pop in and out of existence and cannot be directly detected. These virtual particles could include new, as yet undiscovered particles that interact with the Higgs boson.

ChatGPT has been a topic of great discussion in academia, particularly about how to prevent its unauthorized use in classes. However, students can benefit from understanding how to use generative artificial intelligence (AI) as a tool to save time and improve performance on writing assignments.

Craig Hurwitz, an Executive in Residence in the Pratt School of Engineering, asked the graduate students in his “Emerging Trends in Financial Technology (Fintech)” course to generate a first draft of an essay with ChatGPT’s help. His working assumption was that when students enter the workforce they will have access to, and the ability to use, generative AI for productivity purposes. He wanted to experiment with ChatGPT in his course to give students a first-hand look at how to use generative AI.

For the assignment, the class was instructed to read a case study and each student chose a Fintech approach to help solve a particular challenge mentioned in the case. Their written assignment was a 750-word Executive Summary convincing the instructor (playing the role of Venture Capitalist) why he should consider meeting to discuss a potential investment.

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A fluxonium qubit can keep its most useful quantum properties for about 1.48 milliseconds, drastically longer than similar qubits currently favoured by the quantum computing industry.

By Karmela Padavic-Callaghan

Continue reading “‘Fluxonium’ is the longest lasting superconducting qubit ever” »

Vinay is the CEO and Founder of Arya.ai, the AI cloud for safe & responsible AI.

From self-driving cars to virtual assistants, AI is driving us to a high-performing ecosystem, creating promising use cases across industries every day. While organizations are generating substantial value with artificial intelligence (AI), the technology has many potential risks. Although its capabilities are expanding daily, so are the regulations, risks and ethical pitfalls around AI. Let’s discuss AI’s potential risks to individuals and society and industries’ preparedness to mitigate them.

Reliability is critical to ensuring the effective and safe deployment of AI models in real-world applications. While AI models are expected to maintain accuracy, their performance can drift over time due to several factors. Failure to monitor and diagnose AI models can lead to inaccurate predictions and high-stakes issues.

Meet the house that diapers built.

Researchers have designed and erected a house that has shredded, disposable diapers mixed into its concrete and mortar. A single-story home of about 36 square meters can pack nearly 2 cubic meters of used diapers into its floors, columns and walls, the team reports May 18 in Scientific Reports.

Using recycled diapers as composite building materials would not only shrink landfill waste but also could make such homes more affordable, the team says, a particular need in developing countries like Indonesia where the demand for low-cost housing far outstrips the supply.

Language models similar to ChatGPT have started to transform neuroscience.

A potential intermediate-mass black hole may be lurking in Messier 4, the nearest globular star cluster to Earth, new Hubble data reveals.

Firing ultrasound signals into rodent brains puts them in a torpor-like state. Scientists are wondering if it could be used on humans.

Dr. Alice Agogino’s Mars robot technology finds terrestrial applications, revolutionizing disaster response and public safety with Squishy Robotics Inc.

For her NASA-funded spherical skeleton robots intended for interplanetary exploration, Dr. Alice Agogino, a famous scientist and the head of the Berkeley Emergent Space Tensegrities Lab at the University of California, Berkeley, has found terrestrial applications.

The robots developed by Agogino, which were initially meant for data collection on Mars or the Moon, may help first responders in the event of calamities on Earth.