AI Intelligence Archive

Designing RNA sequences that reliably fold into specific secondary structures is essential for understanding their biological functions but remains a challenging computational problem. We propose CocoRNA, a cooperative multi-agent reinforc…

Speculative decoding typically characterizes speedup by draft tokens accepted per verification round. Lossless verification preserves the target model's output distribution and thus expected completion length, making this metric a meaningf…

Long-term memory enables language-model agents to personalize future interactions, but a finite memory bank cannot preserve every extracted fact. Existing memory gating policies are typically shared across users and therefore fail to accou…

Predicting the compressive strength of fiber-reinforced high-performance concrete subjected to temperature exposure is challenging because to the intricate interdependencies of mixture composition, fiber properties, curing conditions, and …

While deriving text embeddings directly from frozen LLMs has emerged as a promising direction, existing methods focus almost exclusively on English, leaving multilingual settings largely unexplored. In this work, we present the first syste…

llama.cpp v0.7.0，128GB Mac/Spark： llama serve -hf ggml-org/Qwen3.8-Flash-Next-GGUF:IQ4_NL --spec-type draft-mtp --lazy-mode on

Sparse autoencoders (SAEs) explain foundation model representations by decomposing activations into sparse combinations of learned dictionary atoms. However, the learned dictionaries can vary across training runs, limiting the reliability …

Rènyi differential privacy, based on Rènyi divergence, has become a notion of choice for privacy guarantees. However, outside the Gaussian setting, Rènyi divergence can be difficult to compute. In particular, Rènyi differential privacy gua…

Transformer prefill reuses weights across tokens and is dominated by matrix multiplication and activation data movement; single-token decode has limited reuse and is dominated by weight and KV-cache reads. We present FUTRANSFORMER, a CUDA …

Computational drug discovery requires agents to compose scientific operations and adapt to changing evidence and constraints. Here we introduce DrugHarness, an evolvable agent harness coupling composable scientific execution with condition…

Get the starter: sdahal1/repo-search-workshop on GitHub. The reproduction, searches, tests, and...

How I designed, connected, scaled, governed, evaluated, and QLoRA fine-tuned an enterprise SecOps & FinOps agent on Google Cloud.

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...

https://app.pixverse.ai/music-video/visual-riff?utm_source=X&utm_id=Social

Plugin4Shell: Claude Code, Codex, Copilot and Gemini CLI ran git checkout and never checked HEAD. Reproduce it locally and add the one-line fix.

Disclosure: this is an independent hands-on test. Both tools were run on ordinary customer accounts; neither company supplied review access or saw this...

Disclosure: this is an independent hands-on test. Both tools were run on ordinary customer accounts; neither company supplied review access or saw this...

在 openrouter 上体验 MAI-Transcribe-2： https://openrouter.ai/microsoft/mai-transcribe-2

Meta AI training appears explicitly in upcoming commercial terms. Here is who is covered, what the website permission says, and where robots.txt fits.

Background I have a LINE Bot that I use every day, linebot-helper-python. I use it daily...

Day 16 of 30 Days of Search. Tesla put thrusters on a Roadster yesterday. Flying cars are now a...

TL;DR AI agents are already causing incidents: 54% of organizations have experienced an AI agent...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle I used to...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle TL;DR:...

After the Minesweeper and Doom, the third game in the arcade is a brick breaker after Arkanoid. The...

Traffic Creator is one of my companies. Customers use it to send configurable, automated website...

This article is submitted for the **Hacktoberfest Open-Source AI Challenge: Week 2 (Side...

Researchers at Chalmers University of Technology have demonstrated an AI-enabled laboratory system...

I’ve been looking at how AI coding agents are changing the way developers work, and one thing is...

Coding agents are sold per seat and metered by the token. Sub-agents, long contexts and retries hide the cost. Measure one task before you delegate ten.

Large language models (LLMs) are increasingly used to automate AI research, including language-model (LM) development, offering a potential path toward recursive self-improvement. However, turning experimental feedback into a learned abili…

Low-rank adaptation (LoRA) has become the standard method for parameter-efficient fine-tuning of large pretrained models, yet theoretical explanations for why low-rank updates suffice remain incomplete. Most existing analyses rely on the N…

Tool-augmented language-model agents rely on interface text: tool descriptions, argument schemas, and the candidate tool list shown at inference time. These interfaces often change after deployment even when the underlying tool semantics r…

Modern deep learning systems increasingly rely on high-dimensional vector operations, in which large input and parameter vectors are repeatedly stored, transferred, and processed. Although substantial research has focused on reducing neura…

Pretrained models are often reused across downstream tasks, motivating the question of whether this transfer learning procedure can provide a substantial performance improvement, namely, in terms of the scaling law. We address this questio…

The High Resolution Imaging Science Experiment (HiRISE) onboard the Mars Reconnaissance Orbiter (MRO) acquires imagery of Mars at 25--30 cm/pixel, supporting studies of martian geology, climate history, and landing-site characterization. I…

Real-time inference on small devices needs low activation memory without extra latency, which makes operator order the most valuable memory lever: it is free in time. We show that the usual way of deploying a better order, handing it back …

Often, \emph{eg} in healthcare and predictive maintenance, what matters is which of several competing causes will strike first, and with what probability: survival analysis with competing risks. Corresponding deep learning methods are deve…

Enterprise data analysis requires agents to connect analytical requests with knowledge distributed across databases, business documents, and existing example tasks. Without an explicit representation of this knowledge, an agent may produce…

The joint reconstruction of the initial pressure and spatially varying sound speed in photoacoustic tomography from boundary measurements is considered. A regularized data-driven framework is proposed in which the unknown fields are repres…