:::info Astounding Stories of Super-Science March, 1932, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. The Affair of the Brains – Chapter VIII:Dr. Ku Shows His Claws Astounding Stories of Super-Science March 1932: The Affair of the Brains – Chapter VIII Dr. Ku Shows His Claws By Anthony Gilmore ::: The scientist brushed back his thinning white hair with a trembling hand. He knew that voice. He walked […]

Ver mais

arXiv:2601.21010v1 Announce Type: new Abstract: In this paper, we consider power consumption reduction in extremely large antenna arrays (ELAAs) for integrated sensing and communication (ISAC) applications. Although ELAAs are critical for achieving high-resolution near-field sensing, fully activating all antenna elements in conventional digital architectures leads to prohibitive power demands. To address this, we propose an energy-efficient subarray activation framework that selects an optimal subset of subarrays to minimize the total power consumption, subject to quality-of-service (QoS) constraints for […]

Ver mais

Hey everyone, I’m trying to get better at PyTorch, but I keep running into the same problem — I learn something, don’t use it for a while, and then forget most of it. Every time I come back, it feels like I’m starting from scratch again. For those of you working as ML Engineers (or using PyTorch regularly): How did you really learn PyTorch? Did you go through full documentation, courses, or just learn by building projects? What […]

Ver mais

Despite recent advances in machine learning and explainable AI, a gap remains in personalized preventive healthcare: predictions, interventions, and recommendations should be both understandable and verifiable for all stakeholders in the healthcare sector. We present a demonstration of how prototype-based learning can address these needs. Our proposed framework, ProtoPal, features both front- and back-end modes; it achieves superior quantitative performance while also providing an intuitive presentation of interventions and their simulated outcomes.

Ver mais

So here is free tool for creating highlights based on Scenes using OpenCV. Motion peaks and scene changes. Objects (YOLO) Actions (Intel Action Recognition) Audio peaks. – Also creates .srt subtitles based on Transcript if somebody wants to try it out for their use cases / understand how to adjust model. https://github.com/Aseiel/VideoHighlighter First version of tool was idea of my son 7 years old son (“creating subtitles based on what people are saying”). Now it kinda evolved to […]

Ver mais

arXiv:2601.05268v1 Announce Type: new Abstract: We describe a PubMed scale retrieval framework that separates semantic interpretation from metric geometry. A large language model expands a natural language query into concise biomedical phrases; retrieval then operates in a fixed, mean free, approximately isotropic embedding space. Each document and query vector is formed as a weighted mean of token embeddings, projected onto the complement of nuisance axes and compressed by a Johnson Lindenstrauss transform. No parameters are trained. The system […]

Ver mais

arXiv:2601.15331v1 Announce Type: new Abstract: The deployment of large language models (LLMs) has raised security concerns due to their susceptibility to producing harmful or policy-violating outputs when exposed to adversarial prompts. While alignment and guardrails mitigate common misuse, they remain vulnerable to automated jailbreaking methods such as GCG, PEZ, and GBDA, which generate adversarial suffixes via training and gradient-based search. Although effective, these methods particularly GCG are computationally expensive, limiting their practicality for organisations with constrained resources. This […]

Ver mais

arXiv:2602.17858v1 Announce Type: new Abstract: We initiate the study of multi-attribute group fairness in $k$-nearest neighbor ($k$-NN) search over vector databases. Unlike prior work that optimizes efficiency or query filtering, fairness imposes count constraints to ensure proportional representation across groups defined by protected attributes. When fairness spans multiple attributes, these constraints must be satisfied simultaneously, making the problem computationally hard. To address this, we propose a computational framework that produces high-quality approximate nearest neighbors with good trade-offs between […]

Ver mais

In the Part 2 tutorial, I would like to continue the topic on stock price prediction and to endow the recurrent neural network that I have built in Part 1 with the capability of responding to multiple stocks. In order to distinguish the patterns associated with different price sequences, I use the stock symbol embedding vectors as part of the input.

Ver mais

arXiv:2602.09055v1 Announce Type: new Abstract: This paper considers the scattering of a time-harmonic acoustic plane wave by an elastic body with an unbounded periodic surface. The original problem can be confined to the analysis of the fields in one periodic cell. With the help of the perfectly matched layer (PML) technique, we can truncate the unbounded physical domain into a bounded computational domain. By respectively constructing the equivalent transparent boundary conditions of acoustic and elastic waves simultaneously, the […]

Ver mais