Synaptic plasticity underlies learning by modifying specific synaptic inputs to reshape neural activity and behavior. However, the rules governing which synapses will undergo different forms of plasticity in vivo during learning and whether these rules…
A weakening of Earth’s magnetic field known as the Laschamps event would have increased the threat of solar radiation, perhaps requiring ancient humans to invent protective measures
Researchers have developed a new way to speed up quantum measurements, a vital building block for the next generation of quantum technologies.
Accurate and fast quantum measurements will be crucial for quantum technologies, but quantum systems are fragile and susceptible to disturbance which can cause errors. Previous work in this area presented a fundamental challenge—scientists were only able to increase the accuracy of measurements in quantum systems by sacrificing speed.
A team of quantum experts, led by the University of Bristol, have struck upon a novel way to overcome this problem, published in a Physical Review Letters journal paper.
Posted in nuclear energy | Leave a Comment on “France Can’t Do It Alone”: U.S. Delivers 60-Foot Superconducting Magnet Beast Crucial to the $22 Billion ITER Nuclear Fusion Dream
IN A NUTSHELL 🔧 The United States has delivered a colossal superconducting magnet to France’s ITER project, advancing nuclear fusion technology. 🤝 Collaboration among eight American companies was essential to construct the solenoid’s support structure for the reactor. 🔄 Four out of six solenoid modules have been installed, with completion expected by the year’s end.
Scientists discovered a new Hall effect driven by spin currents in noncollinear antiferromagnets, offering a path to more efficient and resilient spintronic devices.
A research team led by Colorado State University graduate student Luke Wernert and Associate Professor Hua Chen has identified a previously unknown type of Hall effect that could lead to more energy-efficient electronic devices.
Their study, published in Physical Review Letters.
A POSTECH team engineered a novel alloy stable from cryogenic to 1,112°F, overcoming limitations of traditional metals.
Scientists in China have created the most complex 2D microprocessor yet, featuring nearly 6,000 transistors. The devices are made from molybdenum disulfide, a material just three atoms thick. #semiconductors
PoX is a new class of ultra‑fast, ultra‑green memories that meet the swelling appetite of large‑language‑model accelerators.
This paper introduces an adaptive multi-agent framework to enhance collaborative reasoning in large language models (LLMs). The authors address the challenge of effectively scaling collaboration and reasoning in multi-agent systems (MAS), which is an open question despite recent advances in test-time scaling (TTS) for single-agent performance.
The core methodology revolves around three key contributions:
1. **Dataset Construction:** The authors create a high-quality dataset, M500, comprising 500 multi-agent collaborative reasoning traces. This dataset is generated automatically using an open-source MAS framework (AgentVerse) and a strong reasoning model (DeepSeek-R1). To ensure quality, questions are selected based on difficulty, diversity, and interdisciplinarity. The generation process involves multiple agents with different roles collaborating to solve challenging problems. Data filtering steps are applied to ensure consensus among agents, adherence to specified formats (e.g., using tags like “ and ‘boxed{}‘), and correctness of the final answer. The filtering criteria are based on Consensus Reached, Format Compliance, and Correctness. The data generation is described in Algorithm 1 in the Appendix.
