The Next Era of Gene Editing Will Be Disease Agnostic
At the WIRED Health summit, pioneer David Liu said his lab is on the verge of revealing a new gene-editing technique that could target multiple unrelated diseases.
At the WIRED Health summit, pioneer David Liu said his lab is on the verge of revealing a new gene-editing technique that could target multiple unrelated diseases.
The White House’s new Make America Healthy Again strategy makes some asks of the EPA—but critics say the agency is too industry-friendly to make a difference.
Hugging Face has unveiled FinePDFs, the largest publicly available corpus built entirely from PDFs. The dataset spans 475 million documents in 1,733 languages, totaling roughly 3 trillion tokens. At 3.65 terabytes in size, FinePDFs introduces a new dimension to open…
Neil Poulton succeeded in elevating the design of external drives two decades ago with the introduction of LaCie’s Rugged line, which features a bright orange bumper to protect data from drops. Today, Seagate announced an updated version of the LaCie…
Alongside its new iPhone 17 lineup, Apple casually launched a world’s first last week inside the very dull sounding “Apple 40W Dynamic Power Adapter with 60W Max.” It’s the first charger to support the USB PD 3.2 AVS protocol, giving…
Meta has released MobileLLM-R1, a family of lightweight edge reasoning models now available on Hugging Face. The release includes models ranging from 140M to 950M parameters, with a focus on efficient mathematical, coding, and scientific reasoning at sub-billion scale. Unlike…
The Epistemic Gap: Why Standard XAI Fails in Legal Reasoning The core problem is that AI explanations and legal justifications operate on different epistemic planes. AI provides technical traces of decision-making, while law demands structured, precedent-driven justification. Standard XAI techniques…
In this tutorial, we walk through Hugging Face Trackio step by step, exploring how we can track experiments locally, cleanly, and intuitively. We start by installing Trackio in Google Colab, preparing a dataset, and setting up multiple training runs with…
arXiv:2408.16115v5 Announce Type: replace Abstract: We propose a novel Stochastic Differential Equation (SDE) framework to address the problem of learning uncertainty-aware representations for graph-structured data. While Graph Neural Ordinary Differential Equations (GNODEs) have shown promise in learning node representations, they…
arXiv:2502.09507v3 Announce Type: replace Abstract: The remarkable generalization performance of contrastive vision-language models like CLIP is often attributed to the diversity of their training distributions. However, key questions remain unanswered: Can CLIP generalize to an entirely unseen domain when trained…