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I explore the reduction of thermodynamics to statistical mechanics by treating the former as a control theory: a theory of which transitions between states can be induced on a system (assumed to obey some known underlying dynamics) by means of operations from a fixed list. I recover the results of standard thermodynamics in this framework on the assumption that the available operations do not include measurements which affect subsequent choices of operations. I then relax this assumption and use the framework to consider the vexed questions of Maxwell’s demon and Landauer’s principle. Throughout I assume rather than prove the basic irreversibility features of statistical mechanics, taking care to distinguish them from the conceptually distinct assumptions of thermodynamics proper.

Annual UWO Philosophy of Physics Conference.
Thermodynamics as a Resource Theory: Foundational and Philosophical Implications.
June 20–22, 2018
http://philphysics.uwo.ca.
David Wallace, University of Southern California.

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A well-known mineral is once again the center of attention thanks to applications in electronics: the Vienna University of Technology shows that mica still possesses some surprises.

At first glance, mica appears to be quite ordinary: it is a prevalent mineral found in materials like granite and has undergone extensive examination from geological, chemical, and technical standpoints.

At first, it may seem that there’s nothing groundbreaking that can be uncovered about such a commonplace material. However, a team from the Vienna University of Technology has recently published a study in Nature Communications.

Feb. 20 (UPI) — Researchers at Dusseldorf University said Monday a fifth person has been declared free of HIV after a blood stem cell transplant during that patient’s treatment for leukemia. The revelation, disclosed in a study published Monday in the scientific journal Nature Medicine, said the patient, a 53-year-old man from Dusseldorf, Germany, tested positive for HIV in 2008 and developed leukemia three years later.

Since OpenAI has not open-sourced the code for ChatGPT, replicating the chatbot is a herculean task, and even the big-tech are struggling. But, AI startup Colossal-AI has found a way to build your own ChatGPT with less computing resources.

Towards this goal, the company has leveraged a PyTorch-based implementation that covers all three stages from pre-training, reward model training, and reinforcement learning. They offer a demo version of the training process that requires only 1.62 GB of GPU memory and can be done on a single consumer-grade GPU, with 10.3x growth on one GPU model capacity.

Check out the GitHub repository here.

A research team led by Dr. Yong-hun Kim and Dr. Jeong-Dae Kwon has successfully developed the world’s first neuromorphic semiconductor device with high-density and high-reliability by developing a thin film of lithium-ion battery materials. They achieved this by producing ultra-thin lithium ions, a key material of lithium-ion batteries that have been in the spotlight recently, and combining it with two-dimensional nano-materials. The research team is from the Surface & Nano Materials Division at the Korea Institute of Materials Science (KIMS).

A neuromorphic device has synapses and neurons similar to the , which processes and memorizes information. The synaptic device receives signals from neurons and modulates the synaptic weight (connection strength) in various ways to simultaneously process and store information. In particular, the linearity and symmetry of synaptic weights enables various pattern recognition with low power.

Traditional methods for controlling synaptic weights use charge traps between interfaces of heterogeneous materials or oxygen ions. In this case, however, it is difficult to control the movement of ions in the desired direction according to the external electric field. The researchers solved this problem with an artificial intelligence semiconductor device with high density by developing a thin film process while maintaining the mobility of lithium ions according to the external electric field. The thin film—with a thickness of several tens of nanometers—enables fine pattern processing while controlling the thickness of the wafer scale.

Metastasis occurs when cancer cells break free from a primary tumor and spread throughout the body, requiring them to sever connections with neighboring cells and migrate to other tissues. Signaling molecules released by the cancer cells drive both processes and thereby increase the malignancy of tumors.

A team of researchers led by Professor Robert Grosse and Dr. Carsten Schwan from the University of Freiburg discovered that the release of prometastatic factors, which drive the malignancy of tumors, is influenced by the cells’ skeleton. The findings were published in the journal Advanced Science.

What do you think?


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