An early screen of the Moltbook homepage, highlighting its agent-only design (“A social network for AI agents where AI agents share… Continue reading on Towards AI »
arXiv:2601.12270v1 Announce Type: new Abstract: Traditional side-channels take advantage of secrets being used as inputs to unsafe instructions, used for memory accesses, or used in control flow decisions. Constant-time programming, which restricts such code patterns, has been widely adopted as a defense against these vulnerabilities. However, new hardware optimizations in the form of Data Memory-dependent Prefetchers (DMP) present in Apple, Intel, and ARM CPUs have shown such defenses are not sufficient. These prefetchers, unlike classical prefetchers, use the […]
Newton’s birthday was on Christmas when he was born, but now his birthday is not. When Newton was born, England was still using the Julian calendar, and would continue to use the Julian calendar until 25 years after his death. On the day of Newton’s birth, his parents would have said the date was December 25, 1642. We would now describe the date as January 4, 1643. You’ll sometimes see Newton’s birthday written as December 25, 1642 O.S. […]
A firm that wants to use a large language model (LLM) to summarize sales reports or triage customer inquiries can choose between hundreds of unique LLMs with dozens of model variations, each with slightly different performance. To narrow down the choice, companies often rely on LLM ranking platforms, which gather user feedback on model interactions to rank the latest LLMs based on how they perform on certain tasks. But MIT researchers found that a handful of user interactions […]
arXiv:2410.07427v4 Announce Type: replace-cross Abstract: Implicit networks are a class of neural networks whose outputs are defined by the fixed point of a parameterized operator. They have enjoyed success in many applications including natural language processing, image processing, and numerous other applications. While they have found abundant empirical success, theoretical work on its generalization is still under-explored. In this work, we consider a large family of implicit networks defined parameterized contractive fixed point operators. We show a generalization […]
I tend to spend a lot of time in the command-line tools when working with the public cloud computing providers. It is fast, scriptable, and… strangely empowering. Over the last year as a Product Manager on Google Cloud Platform, I have been thinking a lot about improving the developer experience. Obviously, one of the crucial parts of this experience is the command-line access to the cloud. To improve this experience, we have launched gcloud: a command-line tool for […]
Hey guys, I have been trying to convert my CAD file into Mujoco, so I can realistically simulate and train the exact robot. It’s been difficult because step file doesnt have all the information Mujoco needs, and the whole process is very manual & frustrating. Is there another way to do this right? Thanks. For context, I’m using Onshape, but open to other workflow suggestions as I will be building and training robots a lot. I want to […]
Apple’s professional creative apps have been slower to jump on the subscription bandwagon than those from Adobe or some of its other competitors, but the company is taking a step in that direction today. Starting on January 28, Apple will offer an Apple Creator Studio subscription for $13 a month, or $130 a year. Subscribers will get access to the Mac and (where applicable) iPad versions of Final Cut Pro, Logic Pro, Pixelmator Pro, Motion, Compressor, and MainStage, […]
We introduce a reproducible, bias-resistant machine learning framework that integrates domain-informed feature engineering, nested cross-validation, and calibrated decision-threshold optimization for small-sample neuroimaging data. Conventional cross-validation frameworks that reuse the same folds for both model selection and performance estimation yield optimistically biased results, limiting reproducibility and generalization. Demonstrated on a high-dimensional structural MRI dataset of deep brain stimulation cognitive outcomes, the framework achieved a nested-CV balanced accuracy of 0.660,$pm$,0.068 using a compact, interpretable subset selected via importance-guided ranking. By […]
arXiv:2407.21082v2 Announce Type: replace-cross Abstract: This paper presents a modular approach to accelerate inference in large language models (LLMs) by adding early exit heads at intermediate transformer layers. Each head is trained in a self-supervised manner to mimic the main model’s predictions, allowing computation to stop early when a calibrated confidence threshold is reached. We evaluate several confidence metrics and show that entropy provides the most reliable separation between correct and incorrect predictions. Experiments on the Pythia model […]