I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I ...
Theoretical physicists develop mathematical models to describe material systems, which they can then use to make predictions about how materials will behave. One of the most important models is the ...
Do you remember the early days of social media? The promise of connection, of democratic empowerment, of barriers crumbling and gates opening? In those heady days, the co-founder of Twitter said that ...
A highly modular simulation framework of Monte-Carlo methods, based on the Ising Model in a 2D spin lattice. Producing results for the macroscopic properties of the system via simulation and ...
Seeking to improve automatic emotion tracking, which detects and monitors emotions over time, a group of researchers in the field of human-computer interaction decided to approach the task by modeling ...
Climate models are some of the most complex pieces of software ever written, able to simulate a vast number of different parts of the overall system, such as the atmosphere or ocean. Many have been ...
The central selling point of qubit-based quantum processors is that they can supposedly solve certain types of tasks much faster than a classical computer. This comes however with the major ...
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Abstract: Ising machines have attracted attention as efficient solvers for combinatorial optimization problems, which are formulated as ground-state (lowest-energy) search problems of the Ising model.
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