AI Tools & Frameworks Directory

arXiv:2512.17969v1 Announce Type: new Abstract: Convolutional neural operator is a CNN-based architecture recently proposed to enforce structure-preserving continuous-discrete equivalence and enable the genuine, alias-free learning of solution operators of PDEs. This neural operator was demonstrate...

arXiv:2512.17970v1 Announce Type: new Abstract: Weight-only quantization is widely used to mitigate the memory-bound nature of LLM inference. Codebook-based methods extend this trend by achieving strong accuracy in the extremely low-bit regime (e.g., 2-bit). However, current kernels rely on dequant...

arXiv:2512.17983v1 Announce Type: new Abstract: Human Activity Recognition is a foundational task in pervasive computing. While recent advances in self-supervised learning and transformer-based architectures have significantly improved HAR performance, adapting large pretrained models to new domain...

Understanding text embeddings through simple models and Excel The post The Machine Learning “Advent Calendar” Day 22: Embeddings in Excel appeared first on Towards Data Science.

OpenAI says prompt injections will always be a risk for AI browsers with agentic capabilities, like Atlas. But the firm is beefing up its cybersecurity with an 'LLM-based automated attacker.'

Alphabet is set to pay $4.75 billion in cash, plus debt, for the data center and clean energy developer.

For the last couple of years, a lot of the conversation around AI has revolved around a single, deceptively simple question: Which model is the best? But the next question was always, the best for what?  The best for reasoning? Writing? Coding? Or maybe it’s the best for images, audio, or video? Tha...

Visualizing the "AI Orchestrator" concept of 2025. This image depicts the synergy between human creativity and autonomous AI agents. It highlights key 2025 trends including agentic workflows, multimodal interfaces, and sustainable AI energy consumption in a futuristic, biophilic office setting.

The AI data center build-out, as it currently stands, is dependent on two things: Nvidia chips and borrowed money. Perhaps it was inevitable that people would begin using Nvidia chips to borrow money. As the craze has gone on, I have begun to worry about the weaknesses of the AI data center boom; lo...

This is a list of top LLM and VLMs that are fast, smart, and small enough to run locally on devices as small as a Raspberry Pi or even a smart fridge.

How to make LLMs reason with verifiable, step-by-step logic (Part 1) The post Understanding Vibe Proving appeared first on Towards Data Science.

An LLM that's 41× more efficient and 9× faster than today's standard models The post What Happens When You Build an LLM Using Only 1s and 0s appeared first on Towards Data Science.

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact equations that still capture real behavior. The method works across physics, engineering, climate science...

arXiv:2512.16929v1 Announce Type: new Abstract: Affordable upper-limb prostheses often lack intuitive control systems, limiting functionality and accessibility for amputees in low-resource settings. This project presents a low-cost, dual-mode neuro-muscular control system integrating electroencepha...

arXiv:2512.16960v1 Announce Type: new Abstract: Quantum-inspired machine learning (QiML) leverages mathematical frameworks from quantum theory to enhance classical algorithms, with particular emphasis on inner product structures in high-dimensional feature spaces. Among the prominent approaches, th...

arXiv:2512.16963v1 Announce Type: new Abstract: Current Large Language Models (LLMs) face three major challenges: context length limitations, high inference costs, and catastrophic forgetting during continual learning. While Mixture-of-Experts (MoE) architectures mitigate some of these conflicts, t...

arXiv:2512.16967v1 Announce Type: new Abstract: Short-term prediction (nowcasting) of low-visibility and precipitation events is critical for aviation safety and operational efficiency. Current operational approaches rely on computationally intensive numerical weather prediction guidance and human-...

More than one million customers around the world now use OpenAI to empower their teams and unlock new opportunities. This post highlights how companies like PayPal, Virgin Atlantic, BBVA, Cisco, Moderna, and Canva are transforming the way work gets done with AI.

OpenAI is strengthening ChatGPT Atlas against prompt injection attacks using automated red teaming trained with reinforcement learning. This proactive discover-and-patch loop helps identify novel exploits early and harden the browser agent’s defenses as AI becomes more agentic.

Personal AI agents are becoming more capable and more accessible, but not everyone will use them the same way. This article explains what these agents are, how they might fit into everyday life, and what to consider before adopting them.

João Freitas is GM and VP of engineering for AI and automation at PagerDutyAs AI use continues to evolve in large organizations, leaders are increasingly seeking the next development that will yield major ROI. The latest wave of this ongoing trend is the adoption of AI agents. However, as with any n...

A unicorn is a privately held startup valued at over $1 billion, signaling rapid growth, strong investor confidence, and significant market impact.

Waymo suspended its SF robotaxi service on Saturday evening after a massive blackout appeared to leave many of its vehicles stalled on city streets.

MCP is a key enabler into turning your LLM into an agent by providing it with tools to retrieve real-time information or perform actions. In this deep dive we cover how MCP works, when to use it, and what to watch out for. The post Tools for Your LLM: a Deep Dive into MCP appeared first on Towards D...