Ward: Newsss

428

Robots that spare warehouse workers the heavy lifting

Founded by MIT alumni, the Pickle Robot Company has developed machines that can autonomously load and unload trucks inside warehouses and logistic centers.

420

Socratic Students: Teaching Language Models to Learn by Asking Questions

arXiv:2512.13102v2 Announce Type: replace
Abstract: Large Language Models (LLMs) excel at static interactions, where they answer user queries by retrieving knowledge encoded in their parameters. However, in many real-world settings, such as educational tutoring or medical assistance, relevant infor…

342

TRACE: Your Diffusion Model is Secretly an Instance Edge Detector

arXiv:2503.07982v3 Announce Type: replace
Abstract: High-quality instance and panoptic segmentation has traditionally relied on dense instance-level annotations such as masks, boxes, or points, which are costly, inconsistent, and difficult to scale. Unsupervised and weakly-supervised approaches red…

329

DeltaMIL: Gated Memory Integration for Efficient and Discriminative Whole Slide Image Analysis

arXiv:2512.19331v1 Announce Type: new
Abstract: Whole Slide Images (WSIs) are typically analyzed using multiple instance learning (MIL) methods. However, the scale and heterogeneity of WSIs generate highly redundant and dispersed information, making it difficult to identify and integrate discrimina…

332

Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification

arXiv:2508.06831v2 Announce Type: replace
Abstract: Adapting person re-identification (reID) models to new target environments remains a challenging problem that is typically addressed using unsupervised domain adaptation (UDA) methods. Recent works show that when labeled data originates from sever…

320

I tried Amazon's new AI assistant, and I'm never shopping without it again

Did you know Amazon's Rufus AI tool can alert you to price drops and even snag deals for you? That's just one of several game-changing features.

319

How social media encourages the worst of AI boosterism

Demis Hassabis, CEO of Google DeepMind, summed it up in three words: “This is embarrassing.” Hassabis was replying on X to an overexcited post by Sébastien Bubeck, a research scientist at the rival firm OpenAI, announcing that two mathematicians had used OpenAI’s latest large language model, GPT-5…

322

Guided learning lets “untrainable” neural networks realize their potential

CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.

319

Explainable Graph Spectral Clustering For GloVe-like Text Embeddings

arXiv:2508.14075v2 Announce Type: replace
Abstract: In a previous paper, we proposed an introduction to the explainability of Graph Spectral Clustering results for textual documents, given that document similarity is computed as cosine similarity in term vector space.
In this paper, we generalize…

322

Trajectory Planning for UAV-Based Smart Farming Using Imitation-Based Triple Deep Q-Learning

arXiv:2512.18604v1 Announce Type: new
Abstract: Unmanned aerial vehicles (UAVs) have emerged as a promising auxiliary platform for smart agriculture, capable of simultaneously performing weed detection, recognition, and data collection from wireless sensors. However, trajectory planning for UAV-bas…

320

FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis

arXiv:2512.18073v1 Announce Type: new
Abstract: Multimodal LLMs (MLLMs) have gained significant traction in complex data analysis, visual question answering, generation, and reasoning. Recently, they have been used for analyzing the biometric utility of iris and face images. However, their capabili…

321

No Pose at All: Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views

arXiv:2508.01171v2 Announce Type: replace
Abstract: We introduce SPFSplat, an efficient framework for 3D Gaussian splatting from sparse multi-view images, requiring no ground-truth poses during training or inference. It employs a shared feature extraction backbone, enabling simultaneous prediction …

227

Neologism Learning as a Parameter-Efficient Alternative to Fine-Tuning for Model Steering

arXiv:2512.18551v1 Announce Type: new
Abstract: In language modeling, neologisms are new tokens trained to represent a concept not already included in a given model's vocabulary. Neologisms can be used to encourage specific behavior in models, for example by appending prompts with "Give me a neolog…

210

Disney and OpenAI, Totems in an AI World, Google Versus the World

Disney made a deal with OpenAI, which both speaks to the durability of Disney's assets and to OpenAI's competition with Google.

209

Governor Hochul signs New York's AI safety act

New York governor Kathy Hochul signed legislation on Friday aimed at holding large AI developers accountable for the safety of their models. The RAISE Act establishes rules for greater transparency, requiring these companies to publish information about their safety protocols and report any incident…

220

'Architects of AI' named Time Magazine's Person of the Year

Nvidia boss Jensen Huang is among the influential tech figures that adorn one of the two covers.

220

GLM-4.7: Advancing the Coding Capability

Comments

213

How I learned to stop worrying and love AI slop

Lately, everywhere I scroll, I keep seeing the same fish-eyed CCTV view: a grainy wide shot from the corner of a living room, a driveway at night, an empty grocery store. Then something impossible happens. JD Vance shows up at the doorstep in a crazy outfit. A car folds into itself like paper and dr…

213

MatE: Material Extraction from Single-Image via Geometric Prior

arXiv:2512.18312v1 Announce Type: new
Abstract: The creation of high-fidelity, physically-based rendering (PBR) materials remains a bottleneck in many graphics pipelines, typically requiring specialized equipment and expert-driven post-processing. To democratize this process, we present MatE, a nov…

222

SurgiPose: Estimating Surgical Tool Kinematics from Monocular Video for Surgical Robot Learning

arXiv:2512.18068v1 Announce Type: new
Abstract: Imitation learning (IL) has shown immense promise in enabling autonomous dexterous manipulation, including learning surgical tasks. To fully unlock the potential of IL for surgery, access to clinical datasets is needed, which unfortunately lack the ki…