Latest in AI and developer tools

Today's trail

updated 1m ago

Pulse · forbes.com

forbes.com · Nov 3

How CISOs Can Set Guardrails On AI Agents Without Killing Adoption

Guardrails and adoption are not in opposition. The companies that figure out the balance now will set the pace on AI agents in two years.

Pulse · pulse2.com

pulse2.com · Nov 3

Querio Raises $5 Million To Build Git-Native Analytics Platform For AI

Querio has raised $5 million to expand its git-native analytics platform, which is designed to give companies a single, owned source of business logic that can be used consistently across AI tools, dashboards, notebooks, and other analytics workflows. Investors in the round include BMW i Ventures, LAUNCH, Haatch Ventures, Araya, Forum Ventures, Secways, and angel investors from OpenAI, Slack, Robinhood, and Google.

Pulse

Top picks this weekarXiv

arXiv

Nov 2

Pixel: A Co-Designed Full-Stack Robot System for Learning General-Purpose Mobile Manipulation

General-purpose mobile manipulation requires a combination of capable robot hardware, scalable demonstration collection, expressive whole-body control, and effective policy learning. Yet these components are often developed independently, creating mismatches that limit the capabilities of the complete system. We present Pixel, a co-designed full-stack system for learning general-purpose mobile manipulation. Pixel combines a low-cost wheeled humanoid with human-aligned kinematics and compliant grippers, multiple teleoperation and robot-free human data-collection interfaces, a unified whole-body controller, and a common policy learning pipeline across human and robot demonstrations. A hierarchical learning stack further enables language-conditioned visuomotor control and long-horizon task execution. We evaluate the system across hardware, data collection, and policy learning, and demonstrate mobile-manipulation behaviors requiring dexterity, active perception, navigation, and whole-body coordination. We hope that Pixel provides an integrated and extensible foundation for studying how robot hardware, data, control, and learning can be designed together for robot learning. More…

Top picks

All arXiv Hugging Face GitHub Hacker News

Latest Top this week

arXiv

Sep 21

Adaptive Cortically Constrained EEG-Vision Alignment for Zero-Shot Brain-to-Image Retrieval

Zero-shot brain-to-image retrieval requires robust alignment between noisy EEG responses and visual representations. Existing EEG-vision alignment methods often operate in sensor space and apply fixed visual supervision to all responses, ignoring both spatial mixing in scalp…

arXiv

Sep 21

You Can Tell Who's Asking: What the Web's Questions Are Made Of, and Where They Come From

Questions scraped from the web are used across academia and industry as a proxy for what people want to know. Across QA training data, retrieval benchmarks, and content strategy, questions on a page are assumed to reflect human intent. We test this assumption at scale by…

arXiv

Sep 21

Reinforcement Learning under State and Outcome Uncertainty: A Foundational Distributional Perspective

In many real-world planning tasks, agents must tackle uncertainty about the environment's state and variability in the outcomes of any chosen policy. We address both forms of uncertainty as a first step toward safer algorithms in partially observable settings. Specifically, we…

arXiv

Sep 21

When More Evidence Hurts: Publication-Bias Drift and Principled Stopping for Biomedical Causal Search

Automated biomedical evidence synthesis depends on retrieving published studies, but the biomedical literature is systematically skewed toward positive findings. Deeper retrieval can therefore make a system \emph{more} likely to falsely infer benefit when the true effect is…

This week in Multimodal

This week

Get the morning digest

Today's trail

Pulse

Top picks

Today's trail

This week in Multimodal

Most active this week

Rising tools