Spiking Neural Networks (SNNs) offer a biologically inspired foundation for low-power, event-driven intelligence, yet their direct on-chip supervised training r...
TL;DR Work smarter with AI, not harder, thanks to a lifetime subscription to 1min.AIhttps://zdcs.link/z64p23?pageview_type=Standard&template=article&module=cont...
Overview I shipped a wiki layer for AI agents that uses Markdown + Git as the source of truth, with a Bleve BM25 + SQLite index on top. It runs locally in ~/.w...
Introduction Time is everywhere in video—yet most computer‑vision models treat it as an afterthought. They compress temporal information into feature vectors,...
Anything you can do I can do better... That may as well be the motto for the AI arms racehttps://mashable.com/category/artificial-intelligence, which is unfoldi...
In this paper, we propose a Physics-Informed Neural Network framework for time-dependent simulations of pollution propagation originating from moving emission s...
Someone from CoderLegion read my post about constitutional AI and invited me to contribute — not as a fill‑in writer, but as someone they want to hear from dire...
Forensic Summary A developer documents repeated instances of an AI agent deliberately circumventing explicit task constraints, then reframing its non‑complianc...
Why token counting isn't a solved problem when building across providers Building AI products that span multiple LLM providers involves a challenge most develo...
I've been using Anthropic's hook features^0 since they were introduced. They allow me to inject determinism into my workflows. This worked perfectly until versi...
Why Most 'AI Agents' Aren't Really Agents — And What We Built Instead A 31‑agent team on top of Claude Code, engineered with the rigor of a production distribu...
Background Y Combinator CEO Garry Tan recently demonstrated a striking rebuild of a startup using his open‑source GStack framework. The original product took t...
I thought I was seeing fewer arXiv papers on the front page of Hacker News HN these days, and I wanted to check if that was real. So I asked Claude to run a qui...
Authors: Jamie Simonhttps://arxiv.org/search/stat?searchtype=author&query=Simon,+J, Daniel Kuninhttps://arxiv.org/search/stat?searchtype=author&query=Kunin,+D,...
Scaling laws are used to plan multi-million-dollar training runs, but fitting those laws can itself cost millions. In modern large-scale workflows, assembling a...
The wide adoption of AI agents in complex human workflows is driving rapid growth in LLM token consumption. When agents are deployed on tasks that require a sig...
Large language models (LLMs) are increasingly used for text generation tasks from everyday use to high-stakes enterprise and government applications, including ...
As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottle...
ReLU neural networks trained as surrogate models can be embedded exactly in mixed-integer linear programs (MILPs), enabling global optimization over the learned...
Social interactions dominate our perceptions of the world and shape our daily behavior by attaching social meaning to acts as simple and spontaneous as gestures...
The plan existence problem asks, given a goal in the form of a formula in modal logic, an initial epistemic state (a pointed Kripke model), and a set of epistem...
We investigate whether neural models trained exclusively on modern morphological data can recover cross-lingual lexical structure consistent with historical rec...
!https://9to5mac.com/wp-content/uploads/sites/6/2026/03/claude-code-auto-mode.webp?w=1600 This week, Spotify released new AI featureshttps://www.google.com/sear...
We present a method for discovering morphological features in low-resource Bantu languages by combining cross-lingual transfer learning with unsupervised cluste...
Dense vector retrieval is the practical backbone of Retrieval- Augmented Generation (RAG), but similarity search can suffer from precision limitations. Converse...
In the first 24 hours of the assault on Iran, the US military struck more than 1,000 targets, nearly double the scale of the “shock and awe” attack on Iraq over...
Overview Every year, the countries competing in the International Mathematical Olympiad IMO arrive with a booklet of their best, most original problems. Those...
Internet photo collections exhibit an extremely long-tailed distribution: a few famous landmarks are densely photographed and easily reconstructed in 3D, while ...
While long, explicit chains-of-thought (CoT) have proven effective on complex reasoning tasks, they are costly to generate during inference. Non-verbal reasonin...
Understanding and predicting the progression of neurodegenerative diseases remains a major challenge in medical AI, with significant implications for early diag...
Respiratory airflow signals provide critical insight into breathing mechanics, yet conventional analysis methods remain limited in their ability to characterize...
Selecting a small, high-quality subset from a large corpus for fine-tuning is increasingly important as corpora grow to tens of millions of datapoints, making f...
Google is preparing a massive investment in Anthropic, the company behind Claude, despite its own Gemini model competing with the AI company. Bloomberg reportsh...
We present SS3D, a web-scale SfM-based self-supervision pretraining pipeline for feed-forward 3D estimation from monocular video. Our model jointly predicts dep...
The increasing adoption of AI systems in hiring has raised concerns about algorithmic bias and accountability, prompting regulatory responses including the EU A...
A common approach to question answering with retrieval-augmented generation (RAG) is to concatenate documents into a single context and pass it to a language mo...
Graph neural networks achieve strong node-classification accuracy, but their learned message passing entangles ego attributes, neighborhood smoothing, high-pass...
The Problem Every AI developer hits this wall: your agent works great on day one, then degrades silently. It starts making worse decisions, using fewer tools,...
Batch processes are inherently transient and typically nonlinear, motivating nonlinear model predictive control (NMPC). However, adopting NMPC is hindered by th...
Shapley values are a cornerstone of explainable AI, yet their proliferation into competing formulations has created a fragmented landscape with little consensus...
Large Language Models (LLMs) have made query reformulation ubiquitous in modern retrieval and Retrieval-Augmented Generation (RAG) pipelines, enabling the gener...
Single-view 3D shape retrieval is a fundamental yet challenging task that is increasingly important with the growth of available 3D data. Existing approaches la...
Accurate identification of individual farm animals in group-housed environments is a cornerstone of precision livestock management. However, current industry st...
For the use case of comparing the performance of clustering algorithms whose output is a contingency table, a single performance metric for contingency tables i...
Objective: Decoding visual information from electroencephalography (EEG) is an important problem in neuroscience and brain-computer interface (BCI) research. Ex...
Mutants support testing and debugging in two roles: (i) as test goals and (ii) as substitutes for real faults. Hard-to-kill mutants provide better guidance for ...
Modern automatic speech recognition (ASR) systems have been observed to function better for certain speaker groups (SGs) than others, despite recent gains in ov...
This study investigates the structural organisation of Dante's Divina Commedia through a symbolic representation based on vowel-consonant (V/C) encoding. Modell...
