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Researchers introduced PANM, a plug-and-play memory module that mimics symbolic processing using pointers. PANM improves neural networks’ generalization to longer, unseen sequences and boosts performance in symbolic tasks, QA, and translation by modeling memory access more like a computer does—with physical addresses and pointer arithmetic.

Researchers introduced PANM, a plug-and-play memory module that mimics symbolic processing using pointers. PANM improves neural networks’ generalization to longer, unseen sequences and boosts performance in symbolic tasks, QA, and translation by modeling memory access more like a computer does—with physical addresses and pointer arithmetic.

Researchers introduced PANM, a plug-and-play memory module that mimics symbolic processing using pointers. PANM improves neural networks’ generalization to longer, unseen sequences and boosts performance in symbolic tasks, QA, and translation by modeling memory access more like a computer does—with physical addresses and pointer arithmetic.

Go’s concurrency model revolves around goroutines—lightweight, runtime-managed threads. Synchronization is achieved via Mutexes, WaitGroups, and Condition Variables, ensuring safe execution. The Go scheduler maps goroutines to OS threads for efficiency, while channels and locks prevent race conditions and deadlocks.

EXPLORER outperforms baselines by combining neural exploration and symbolic reasoning, excelling in text-based games with unseen entities.

EXPLORER dynamically generalizes symbolic rules using WordNet hypernyms to improve performance on unseen entities in text-based games.

Gig workers can be considered the backbone of our modern economy. They are often left behind when it comes to financial services. Financial tools are still only catering to the traditionally employed. Open banking offers users much more control over their finances.

EXPLORER uses Inductive Logic Programming and exception learning to iteratively refine symbolic policies for better adaptability in text-based games.

EXPLORER combines neural exploration and symbolic reasoning using Answer Set Programming to enhance decision-making and generalization in text-based games.

EXPLORER combines neural exploration and symbolic reasoning to achieve better generalization, interpretability, and performance in text-based games.

GPT-4V struggles with medical image interpretation, showing poor diagnostic accuracy and posing risks to patient care, highlighting the need for caution.

This article explores how to run Docker containers on Kubernetes without a traditional container runtime (like containerd or Docker) by leveraging WasmEdge, a lightweight WebAssembly (WASM) runtime. It explains the motivation behind replacing container runtimes with WASM, outlines the benefits (e.g., faster startup, better security, lower resource usage), and walks through a hands-on demo of deploying a Dockerized app using WasmEdge on Kubernetes. The...

GPT-4V shows potential in medical image interpretation but lacks diagnostic accuracy, highlighting risks and the need for caution in clinical applications.

Next.js patched a critical security flaw (CVE-2025-29927). OpenAI’s 4o image generation enhances AI-powered visuals. Vue.js 2025 sees TypeScript & Pinia dominance. Plus, key updates in Bun, pnpm, Babel, and Babylon.js.

ChatGPT 4o’s image generation is going viral with the “Ghibli effect.” Google’s Gemini 2.5 Pro leads in reasoning benchmarks. Microsoft’s KBLaM optimizes LLM knowledge retrieval with linear scaling. Tencent’s hybrid Transformer-Mamba model pushes AI boundaries, and Anthropic’s new “think” tool improves Claude’s decision-making.

Gemma 3 is a powerful open-source model designed to operate on a single GPU. It’s multilingual (140+ languages out of the box) and even multimodal, meaning it can understand images combined with text. The largest Gemma 3 model, with 27 billion parameters, ranks among the top open AI models in quality. In this tutorial, I’ll show you how to use it via Hugging Face.

Why Orbs’ Perpetual Hub integration with IVX on Berachain aims to boost leveraged futures trading—exploring its mechanics and DeFi impact.

This appendix explores Nyholt’s method for optimizing multiple hypothesis testing. It enhances efficiency by adjusting for covariance structures, improving type I error rates and power while maintaining confidence intervals and sample size calculations.

2.6 billion people still lack internet access, according to the ITU. Many countries impose strict internet censorship, limiting free speech and access to information. A decentralized internet is suggested as a solution to this problem. This approach aims to remove censorship and control from centralized entities.

This appendix examines the effects of sequential deterioration tests on statistical accuracy. Monte Carlo simulations show minimal impact on error rates and power, ensuring reliable decision-making in experiments.

If you love art, whether as a creator or a viewer, embrace the last hurrah and the joy that Studio Ghibli and its style bring us, because there will NEVER be another great artist in the future. You might disagree, but I will wholeheartedly generate a few images as I process what a historic moment this is for art, knowing things will never be...

We're thrilled to spotlight HackerNoon's Company of the Week: Keymakr, a company that's been making waves since its inception in 2015. Their mission is to provide top-notch image and video annotation services that fuel AI and machine learning projects across various industries.

BingX, a global leading cryptocurrency exchange, is excited to announce the launch of perpetual trading on TradingView. BingX has been named Best Crypto Exchange by TradingView for three consecutive years. Users gain direct access to professional-grade charting tools and in-depth market analysis.