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Category: robotics/AI
AI surrogate accelerates nonlinear optics simulations by orders of magnitude
Simulating the nonlinear optical physics that underlies ultrafast laser systems is computationally demanding—a practical bottleneck in settings that require rapid feedback. A study by researchers at Stanford University, University of California, Los Angeles (UCLA), and SLAC National Accelerator Laboratory introduces a deep learning surrogate that delivers orders-of-magnitude acceleration over conventional simulation methods, while maintaining high fidelity across a challenging range of pulse shapes.
The work centers on second-order nonlinear optics (χ² processes), in which light waves exchange energy inside specially engineered crystals to generate new frequencies and tailored pulse shapes. In particle accelerator facilities, these processes play a key role. At SLAC’s upgraded Linac Coherent Light Source (LCLS-II), infrared laser pulses are first to green light and then to ultraviolet (UV). The UV pulse strikes a cathode to liberate an electron bunch that is subsequently accelerated and modulated to produce intense X-ray pulses. The temporal shape of the UV pulse directly influences the properties of that electron bunch—and ultimately the quality of the X-rays available for science.
A surrogate model for the nonlinear χ² frequency conversion step at the heart of this process is reported in Advanced Photonics.
Open-source ‘digital twin’ enables end-to-end testing of applications over wireless
Researchers at the University of California San Diego have developed an open-source “digital twin” of a wireless network, giving graduate students, startups and other innovators a free, easy-to-use way to test new technologies and get fast, realistic feedback. The platform could help accelerate the pace of wireless innovation.
“We are building a software replica of everything that happens when you use your phone, from the wireless signals traveling through the environment to the cellular network and apps that deliver data and services like video and Instagram,” said Dinesh Bharadia, associate professor in the Department of Electrical and Computer Engineering at the UC San Diego Jacobs School of Engineering, an affiliate of the UC San Diego Qualcomm Institute and senior author of the paper.
“This will help industry and academia build new protocols and algorithms faster using software and AI, with less need for real-world experiments.”
Popular PlayStation emulator clamps down on AI submissions: ‘Leave behind something useful to humanity when you’re gone, instead of peddling slop’
In response to questions (and more than a little AI evangelist bellyaching), the devs pointed out that it is not the use of AI code in PRs that is the issue for them, but that it is undisclosed. “We won’t ban if disclosed, except for abuse cases, e.g. throwing a lot of random slop at us to see what passes reviews. Hint: programmers that can understand the problem, the solution, and the implementation can write the same code without AI, and tend to use LLMs to automate repetitive code refactoring instead. It is not the case with the AI slop PRs we have seen.”
The final result is a new set of hard-and-fast rules about AI code right there on RPCS3’s GitHub repo: “Use of AI tools for research and reverse engineering purposes is permitted. However, contributors are expected to fully own and understand all code they submit. Any communication with the team—including code, code comments, and GitHub comments—must come from the human contributor, not an AI agent acting autonomously.”
Back on X, the team signed off with a final message: “As for all the AI bros seething on our socials, we’re simply blocking you. Learn how to debug, code, and leave behind something useful to humanity when you’re gone, instead of peddling slop.”
New documentary asks if we are doomed by AI
“The AI Doc: Or How I Became an Apocaloptimist” is a new documentary exploring the future of Artificial Intelligence and its impact on humanity. NBC News’ Gadi Schwartz spoke with co-founder of the Center for Humane Technology, Tristan Harris, about the documentary and how to navigate overwhelming dread with tech optimism.
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Stanford CS336: Language Modeling from Scratch
This course is designed to provide students with a comprehensive understanding of language models by walking them through the entire process of developing their own.
Drawing inspiration from operating systems courses that create an entire operating system from scratch, we will lead students through every aspect of language model creation, including data collection and cleansing for pre-training, transformer model construction, model training, and evaluation before deployment.
For more information about Stanford’s online Artificial Intelligence programs, visit: https://stanford.io/ai.
Learn course details: https://online.stanford.edu/courses/cs336-language-modeling-scratch.
Visit the course website: https://cs336.stanford.edu/
