AiRentoSoft is a cloud-based car rental software that uses AI to automate and manage rental businesses. It includes modules for website booking engine, fleet management, customer billing, and payment processing. AI features include 24/7 call agent, license and insurance scanning/verification, and damage detection. The platform integrates with Expedia, offers three apps (business, AI inspection, renter), and supports multi-branch management, e-signatures, automated reminders, and more. Trusted in 50+ countries with 15+ years of industry experience.

CTRL+WATCH is a human-edited, AI-assisted retro magazine that reviews YouTube channels. Issue #017, 'The Machine Issue,' focuses on the wave of AI-generated content and asks who checks its quality and what the magazine owes its readers when reviewing such content. Features include channel ratings (out of 100, no mercy), creator head-to-head battles ('Boss Fight'), and fictional interviews with legends who never saw YouTube ('Time Capsule').

The article explores the generational divide in AI perception: younger generations are skeptical, while older professionals embrace it. Beyond job displacement fears, the author cites cultural conditioning from science fiction and the nature of LLMs as averaging tools. Personal anecdotes illustrate how expectations and task types influence AI utility.

The article explores the concept of curation in AI art. The author argues that while AI art does not involve traditional creativity, curating specific images and sounds via AI can express hard-to-articulate intuitions and emotions. Comparing AI art to finding interesting rocks or making a playlist, the author emphasizes curation as a valuable creative activity in its own right, and discusses how AI expands the possibilities of curation in culture.

Takeda has entered a strategic collaboration with Hong Kong-based Insilico Medicine to use AI in early-stage drug discovery across the Japanese pharmaceutical company’s therapeutic areas. The companies did not disclose which therapeutic areas or disease targets will be covered under the collaboration. The agreement gives Takeda access to Insilico’s Pharma.AI platform, which supports biological target identification, molecular design, and clinical trial prediction.

Mozilla AI announces transcribe.cpp, a C/C++ speech-to-text inference library built on ggml, supporting multiple model families with GPU acceleration. Developed by CJ Pais, it aims to unify STT model deployment and is the first project from the Builders in Residence program.

AI superforecasters are making extraordinary returns on prediction markets, turning $35 into $2 million. Current AIs are nearly on par with top human forecasters, with parity expected in about six months. AI advantages include speed and automation, especially in finance.

Giotto.ai offers a portable AI model and operating system for sovereign, performant, and integrated AI deployment. It can run in the cloud, on private infrastructure, or on certified hardware. The Giotto 1 model achieves top scores on single-GPU benchmarks. The company is based in Lausanne, Switzerland.

NVIDIA Cloud Functions (NVCF) is an open-source platform for deploying, managing, and running GPU-accelerated workloads at scale. It supports long-running functions and asynchronous tasks, leveraging Kubernetes for orchestration, and provides a unified control plane, load-balanced routing, multi-cluster autoscaling, and more. This article covers NVCF's architecture, workload types, core capabilities, and how to build with Bazel.

Camox is an open-source page builder framework that lets developers quickly build quality websites using tools like Claude Code while retaining the best CMS features: visual editing, drafts, and more.

TiRex-2 is a pretrained time series foundation model for zero-shot multivariate forecasting with past and future-known covariates. It operates in a streaming fashion without task-specific training, and offers decontaminated versions for fair evaluation.

Frameworks like Lean Six Sigma and BPM are being infused with AI to drive process optimization. The market for AI-powered process optimization is projected to exceed $113 billion, with 88% of business leaders planning to increase investments. However, companies with established process disciplines are better positioned to realize AI's full potential.

Eodly reads Slack, Telegram, Discord, GitHub, and Linear to deliver a sourced evening digest to founders: who shipped, who's quiet, who's slipping, and any status that doesn't match reality. It's a chief of staff, not surveillance.

AI Setup is a skill for Claude Code and compatible AI agents that bootstraps a fully personalized Obsidian vault with a single command. Through a three-stage process (bootstrap, interactive brain dump, document ingestion), it generates structured context files so the AI understands the user, business, products, team, and workflows without starting from scratch each conversation. Designed with Markdown-first, AI-first principles, it works with Claude Code, Claude Desktop, Obsidian, and more.

Ford has rehired over 300 veteran quality inspectors after AI-driven quality checks underperformed compared to experienced human engineers. The company acknowledges the limitations of AI without proper training from experts, and notes a return to the top of an industry quality study.

WebBrain is a free, MIT-licensed AI browser agent for Chrome and Firefox. It reads pages, extracts data, and automates multi-step tasks through Ask and Act modes. Run it on local models like llama.cpp or Ollama for privacy, or connect any cloud API.

The AI Engineer World’s Fair ended with a debate about loops, a report on the state of AI engineering, and closing keynotes focused on what to build next. The debate highlighted tensions between optimism and caution over autonomous coding loops. A survey found 95% use agents but 59% fear long-term liabilities. Keynotes encouraged building AI-native companies.

The author is not against LLMs but worries that AI-generated websites lack soul, making handcrafted sites more valuable than ever.

Deep Agents is an open-source agent harness by LangChain, designed for long-horizon, multi-step tasks. It includes built-in features such as sub-agents, filesystem access, context management, shell access, persistent memory, and human-in-the-loop approval. Model-agnostic and built on LangGraph, it is production-ready with LangSmith integration.

AI visibility tools claim to measure brand presence in AI assistants but suffer from deep methodological flaws: frontend scraping captures synthetic sessions, API calls differ from consumer apps, prompt sets bias results, geography changes everything, and model drift invalidates trend lines. An honest dashboard would show distributions and methodology, not false precision.

This paper presents novel approaches for fixed and moving obstacle avoidance for unmanned surface vehicles (USVs) using a combination of global and local path planners. The global planner integrates Grassfire, a modified Grassfire, and a new variant of Probabilistic Roadmap. The local planner employs high-level decision logic based on the obstacle's motion direction relative to the USV's path, systematically routing the vehicle behind the obstacle. Simulations validate the method against the D* algorithm.

A novel layered planning and control framework using multi-rate nonlinear model predictive control (MR-NMPC) enables quadrupedal robots to perform wall-assisted bipedal locomotion in constrained environments. The high-level MR-NMPC simultaneously plans discrete contact points and continuous CoM/orientation trajectories, while a low-level whole-body controller tracks references. Simulations on Unitree A1 show a 2.9x success rate improvement over heuristic-based MPC. Accepted to IEEE/RSJ IROS 2026.

This study proposes a reconfigurable rocker-bogie mechanism that achieves efficient turning with few actuators while maintaining high step-climbing capability. A prototype demonstrated zero-radius turning speeds over five times faster than conventional designs, with only 17% of the average wheel torque, and successfully climbed a 40 cm step.

This paper introduces the SE(2) Navigation Mesh (SE(2) NavMesh), a polygonal representation that encodes yaw-dependent traversability for ground robots in complex multi-level environments. It uses footprint masks for traversability evaluation, builds a graph over yaw-specific layers with explicit translational and rotational connectivity, and proposes an A*-String Pulling-A* (ASA) path planning strategy. Simulations show over 50% more traversable area captured than classic NavMeshes, and real-world experiments on a physical robot validate real-time online generation and successful navigation.

BIFROST is a new method for sim2real transfer in robotics that learns invariant features from raw observations using a cross-domain bisimulation objective, enabling zero-shot policy transfer from simulation to reality. It outperforms existing approaches in tasks with both visual and dynamics domain gaps.

A lightweight human-in-the-loop simulation framework for autonomous driving, tightly integrated with the CommonRoad platform, enabling real-time interaction between human drivers and autonomous vehicles.

This paper proposes a neuro-symbolic safety guidance mechanism for flow matching based Vision-Language-Action (VLA) models, enabling predictive collision avoidance. It formulates safety enforcement as a minimum-norm constrained optimization problem that corrects safety violations during the denoising process. On the SafeLIBERO benchmark, it achieves 82.8% collision avoidance and 81.6% task success, improvements of 6.3% and 19.8% over single-step methods, with largest gains on long-horizon tasks.

This paper systematically surveys ROS 2 middleware and introduces a conceptual framework examining its architectural limits through three dimensions: Space, Time, and State. It highlights trade-offs under constrained wireless conditions and outlines a research roadmap for robust middleware.

This paper proposes an adaptive group-accompaniment method for social robots based on Vision-Language Models (VLMs). It leverages VLM semantic reasoning to infer companion positions, maintain social distances, and understand group dynamics, combined with a Model Predictive Path Integral (MPPI) controller for stability. Experiments show a 15% improvement in success rate and a 25% reduction in collision rate, with user study perceiving behaviors as natural and socially appropriate.

This paper proposes WaveLander, a hierarchical reinforcement learning framework for autonomous UAV landing on wave-disturbed marine platforms. It decouples vertical landing decision-making from low-level flight stabilization, using an RL policy to output a vertical velocity reference while a conventional controller handles attitude and lateral tracking. Simulations show robust performance and generalization to unseen disturbances.