markdown !Meta logohttps://torrentfreak.com/images/meta-logo-1-600x383.png In the race to build the most capable LLM models, several tech companies sourced copy...
What is ai123.help? ai123.helphttps://ai123.help/ is a comprehensive, free AI tools directory that helps you discover, compare, and choose the right AI tools f...
Curious what else we're building? Explore our APIs and start creating. Curious what else we're building? Explore our APIs and start creating....
“I remember, therefore I am” Most AI assistants have some form of memory, but it’s limited—a handful of notes, a capped context window, a single user. The mome...
“When you get a demo and something works 90 % of the time, that’s just the first nine.” — Andrej Karpathy The “March of Nines” frames a common production reali...
Adaptive Large Neighborhood Search (ALNS) is a prominent metaheuristic and a widely adopted approach for production and logistics optimization. However, it has ...
I’m ready to retire. In my younger days, I remember a few pivotal moments for me as a young nerd. Active Server Pages. COM components. VB6. I know these are lau...
Every company deploying AI agents right now is making the same mistake: building powerful, autonomous systems while leaving them completely unaccountable. No ve...
Harness engineering As models get smarter and more capable, the “harnesses” around them must also evolve. This “harness engineering” is an extension of context...
Enterprise‑Scale Memory Bottleneck in Large Language Models Large‑document or long‑horizon AI applications quickly run into a memory bottleneck. As the context...
Introduction I started working in quantum computing seven years ago, right after completing my master’s degree. Back then, the field was buzzing with excitemen...
Co‑director Daniel Roher. | Image: Focus Features We are in the thick of a massive push to incorporate generative AI into almost every aspect of our lives, but...
Background An anonymous reader quotes a report from Bloomberg, written by Katrina Manson: The U.S. strikes on Iran ordered by President Donald Trump mark the a...
Multimodal Large Language Models (MLLM) classification performance depends critically on evaluation protocol and ground truth quality. Studies comparing MLLMs w...
While recent multimodal large language models (MLLMs) have made impressive strides, they predominantly employ a conventional autoregressive architecture as thei...
The integration of Large Language Models (LLMs) into autonomous driving has attracted growing interest for their strong reasoning and semantic understanding abi...
Obstacle avoidance in unmanned aerial vehicles (UAVs), as a fundamental capability, has gained increasing attention with the growing focus on spatial intelligen...
Incremental Few-Shot (IFS) segmentation aims to learn new categories over time from only a few annotations. Although widely studied in 2D, it remains underexplo...
Surgeons don't just see -- they interpret. When an expert observes a surgical scene, they understand not only what instrument is being used, but why it was chos...
Vision Language Model (VLM) development has largely relied on scaling model size, which hinders deployment on compute-constrained mobile and edge devices such a...
Machine-learning interatomic potentials (MLIPs) have advanced rapidly, with many top models relying on strong physics-based inductive biases. However, as models...
Deep reinforcement learning agents are often misaligned, as they over-exploit early reward signals. Recently, several symbolic approaches have addressed these c...
Egocentric video understanding is inherently complex due to the dynamic 4D nature of the environment, where camera motion and object displacements necessitate a...
Understanding how neural networks transform inputs into outputs is crucial for interpreting and manipulating their behavior. Most existing approaches analyze in...
Hierarchical time-series forecasting is essential for demand prediction across various industries. While machine learning models have obtained significant accur...
This paper describes the KCLarity team's participation in CLARITY, a shared task at SemEval 2026 on classifying ambiguity and evasion techniques in political di...
We present LiveSense - a cross-platform that transforms a commercial off-the-shelf (COTS) Wi-Fi Network Interface Card (NIC) on a laptop into a centimeter-level...
Next-generation autonomous vehicles (AVs) rely on large volumes of multisource and multimodal (M^2) data to support real-time decision-making. In practice, data...
We introduce SurgFormer, a multiresolution gated transformer for data driven soft tissue simulation on volumetric meshes. High fidelity biomechanical solvers ar...
Conversational generative AI is rapidly entering healthcare, where general-purpose models must integrate heterogeneous patient signals and support diverse inter...
Negation is a fundamental linguistic operator, yet it remains inadequately modeled in diffusion-based generative systems. In this work, we present a formal trea...
We were promised AI regulation and a race to the top. Now, we’re arguing about killer robots....
Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prenatal detection remains challenging due to the scarcity of exp...
Claude’s daily active users are on the rise on mobile devices, as are its new app installs, following the company’s fallout with the Pentagonhttps://techcrunch....
While diffusion models have revolutionized visual content generation, their rapid adoption has underscored the critical need to investigate vulnerabilities, e.g...
Concept learning is a form of supervised machine learning that operates on knowledge bases in description logics. State-of-the-art concept learners often rely o...
Automatic speech recognition (ASR) has benefited from advances in pretrained speech and language models, yet most systems remain constrained to monolingual sett...
Recent advances in multimodal Retrieval-Augmented Generation (RAG) enable Large Language Models (LLMs) to analyze enterprise spreadsheet workbooks containing mi...
Activation steering methods enable inference-time control of large language model (LLM) behavior without retraining, but current approaches face a fundamental t...
We introduce NOBLE (Nonlinear lOw-rank Branch for Linear Enhancement), an architectural augmentation that adds nonlinear low-rank branches to transformer linear...
Explainable Artificial Intelligence (XAI) seeks to enhance the transparency and accountability of machine learning systems, yet most methods follow a one-size-f...
!https://9to5google.com/wp-content/uploads/sites/4/2024/07/anthrophic-claude-android-1.jpg?quality=82&strip=all&w=1600 Claude’s Rapid Growth Anthropic reports t...
OpenAI dropped GPT‑5.4 this week, announcing that ChatGPT power users should notice improvements right away. The launch follows the recent release of GPT‑5.3 In...
Research in AI using Large-Language Models (LLMs) is rapidly evolving, and the comparison of their performance with human reasoning has become a key concern. Pr...
Large language models (LLMs) have recently reshaped Automated Essay Scoring (AES), yet prior studies typically examine individual techniques in isolation, limit...
As large language models (LLMs) advance in linguistic competence, their reasoning abilities are gaining increasing attention. In humans, reasoning often perform...
The surge in reinforcement learning (RL) applications gave rise to diverse supporting technology, such as RL frameworks. However, the architectural patterns of ...
Read more about [Github发现] Project AIRI：打造专属赛博女友！陪聊陪玩的开源 AI 虚拟伴侣项目...
