50 articles found
OpenAI and Dell have partnered to deploy Codex, OpenAI's AI coding model, in hybrid and on-premise enterprise environments, enabling organizations to use AI-assisted code generation securely within their own infrastructure. This partnership allows enterprises to integrate AI coding agents into their existing workflows while maintaining control over sensitive data and systems.
Researchers at Tokyo University of Science have developed an AI-powered physics model called the entropy-feature-eXtended Ginzburg-Landau (eX-GL) model to understand and reduce energy loss in electric motors caused by complex magnetic domain structures. The model uses persistent homology and machine learning to analyze the chaotic 'maze-like' magnetic patterns in soft magnetic materials, revealing how temperature and microscopic structures trigger energy waste as heat, with potential applications for improving electric vehicle efficiency.
OpenAI has partnered with Malta to provide ChatGPT Plus access to all citizens and offer training programs focused on practical AI skills and responsible AI use. The initiative aims to democratize access to advanced AI tools and build digital literacy across the population.
Microsoft researchers present findings from their paper on AI delegation reliability, examining how language models preserve semantic content across long-horizon delegated workflows. The study finds that frontier models experience 19-34% degradation in artifact fidelity over 20 delegated iterations, though Python workflows show greater robustness, highlighting reliable long-horizon delegation as an important open research challenge.
Mind Robotics just raised $400 million with foundation models at the core of its pitch. Microsoft is building foundation models for power grids. Material science is getting its own foundation model treatment. The robotics industry isn't just adopting AI—it's being reorganized around it.
Sea Limited's Chief Product Officer discusses the company's deployment of Codex, an AI tool, across engineering teams to advance AI-native software development practices in Asia. The initiative represents a strategic adoption of AI-powered development tools to accelerate engineering productivity and innovation.
Promptimus is an automated prompt-engineering framework that optimizes already well-developed LLM prompts without manual intervention by identifying specific failure points and suggesting targeted improvements. The method achieves best results on 16 of 20 benchmarks while outperforming six leading automatic prompt optimization approaches, demonstrating model-agnostic generalizability and sample efficiency across various enterprise tasks.
OpenAI announced safety updates to ChatGPT that improve its ability to recognize context in sensitive conversations, particularly around suicide, self-harm, and harm-to-others risks. The improvements use contextual cues across conversations and within individual chats to better distinguish between benign requests and those signaling potential harm, enabling more appropriate responses like de-escalation or crisis resource provision.
Microsoft introduces GridSFM, a lightweight foundation model that solves AC optimal power flow problems in milliseconds, enabling real-time optimization of electrical grids. The model uses a block-structured discrete neural operator to handle grids from 500 to 80,000 buses, potentially reducing up to $20B annually in congestion losses and unlocking 3.4 TWh of curtailed renewable energy.
This article discusses GMSL (Gigabit Multimedia Serial Link) diagnostics technology for autonomous and robotic vision systems, explaining how built-in diagnostic capabilities at the chip, link, and data layers enable early detection of sensor failures and signal degradation. The piece covers diagnostic requirements across the system lifecycle—from design and integration through production, runtime operation, and field service—to ensure robust and reliable perception systems in autonomous vehicles and robotics.
This article discusses how perception systems are converging across autonomous vehicles, robots, drones, and humanoids, with all platforms adopting distributed sensor networks and real-time processing architectures similar to automotive systems. The piece emphasizes that perception has evolved from a supporting feature to critical infrastructure in modern robotics, requiring integrated solutions for vision, audio, and tactile sensing with deterministic connectivity, diagnostics, and reliability to operate safely in dynamic, unstructured environments.
Researchers at Leiden University have developed microscopic flexible robots that move autonomously without sensors, software, or external control, instead relying on shape-environment interactions inspired by biological microswimmers. These 3D-printed chain-like microrobots demonstrate emergent intelligent behaviors including obstacle avoidance and object manipulation, with potential applications in targeted drug delivery and minimally invasive medical procedures.
Researchers from Baycrest, University of Toronto, and York University discovered that AI can analyze natural speech patterns—including pauses, filler words, and word retrieval difficulties—to predict cognitive performance and detect early signs of dementia. The study found that speech timing characteristics are closely linked to executive function and could offer a practical, non-invasive alternative to traditional cognitive testing for monitoring brain health across the lifespan.
Comau and OMRON Robotics announced a strategic partnership to accelerate industrial automation adoption across electronics, semiconductors, medical manufacturing, and light industrial sectors. The collaboration will integrate their complementary robotics hardware, control technologies, and software platforms to deliver more flexible and easily deployable automation solutions for global manufacturers.
AutoScout24 Group has integrated OpenAI's Codex and ChatGPT into their engineering workflows to accelerate development cycles and enhance code quality. The company is expanding AI adoption across their engineering teams to improve productivity and streamline software development processes.
Three separate research breakthroughs this week point to the same conclusion: the robotics industry is abandoning rigid programming in favor of adaptive learning systems. From dexterous hands to cross-platform skill transfer, the message is clear — tomorrow's robots need to figure things out on their own.
RLWRLD unveiled RLDX-1, a dexterity-first foundation model designed specifically for high-degree-of-freedom robotic hands in industrial applications. The model integrates vision, force sensing, temporal reasoning, and memory to handle complex manipulation tasks like pouring, object tracking, and precise contact control across single-arm, dual-arm, and humanoid embodiments.
SocialReasoning-Bench is a new benchmark that evaluates whether AI agents can effectively negotiate and act in users' best interests in social contexts like calendar coordination and marketplace negotiations. The research finds that current frontier models often complete tasks but frequently accept suboptimal outcomes, failing to advocate effectively for users even with explicit guidance, highlighting a gap in social reasoning capabilities that mirrors principal-agent relationships in law and economics.
OpenAI reports that ChatGPT consumer adoption broadened significantly in Q1 2026, expanding beyond early adopters across age groups, genders, and geographies, with notable growth in Latin America, Asia-Pacific, and Africa. Workplace usage patterns evolved to include more specialized tasks like content creation and health documentation, alongside traditional writing and visual material creation, indicating ChatGPT is becoming a more mainstream and embedded tool across diverse user bases and professions.
The article discusses enterprise strategies for scaling AI implementations, focusing on key factors including building trust, establishing governance frameworks, designing efficient workflows, and maintaining quality as AI systems expand across organizations.
Researchers at Jülich Supercomputing Centre and NVIDIA achieved a record-breaking milestone by simulating a 50-qubit quantum computer using JUPITER, Europe's first exascale supercomputer, surpassing the previous 48-qubit record. The breakthrough demonstrates how advanced supercomputing enables quantum research validation and algorithm development, with the simulation requiring 2 petabytes of memory and managing over 2 quadrillion complex numerical values across thousands of computing nodes.
BlackBerry's QNX operating system is quietly becoming the foundation for safety-critical robotics across industries. As AI-driven robots move from labs to factories and hospitals, the choice of real-time OS matters more than most people realize.
The startup has expanded to more than 230 cities across the world, but has yet to become profitable.
Microsoft Research is excited to release an open dataset of approximate transmission topology of the U.S. power grid derived from publicly available data. The ability to study transmission-level power...
Robot Talk Episode 155 features an interview with Melissa Greeff from Queen's University about autonomous navigation and learning systems for aerial robots. Greeff, an Assistant Professor leading the Robora Lab, discusses her research in vision-based navigation, safe learning-based control, and autonomous aerial systems developed through field trials across Canada.
OpenAI has launched a Chrome extension for its Codex platform that enables developers to test web apps, gather context across browser tabs, and use Chrome DevTools simultaneously. The extension is designed to make Codex more accessible to casual users and non-developers by integrating AI-assisted coding directly into the browser workflow.
OpenAI announced three new voice AI models in its API: GPT-Realtime-2 with advanced reasoning capabilities, GPT-Realtime-Translate for live speech translation across 70+ languages, and GPT-Realtime-Whisper for real-time transcription. These models enable developers to build voice applications that can listen, reason, translate, and take action in real-time conversations, with early adopters including Zillow, Deutsche Telekom, and Priceline building voice-first experiences.
MIT Technology Review's What's Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. Forty-eight years ago this July...
Johnson & Johnson announced successful results from a clinical study of its OTTAVA robotic surgical system, a novel multi-arm surgical robot designed for soft-tissue procedures like gastric bypass. The system met its primary safety and performance endpoints in 30 patients and successfully performed all procedures robotically without conversion; J&J is now pursuing FDA De Novo classification to expand the system's use across multiple general surgery procedures.
Amazon engineers developed advanced optimization tools combining machine learning and Monte Carlo methods to design resilient middle-mile delivery networks that can adapt to uncertainty. The approach stress-tests network designs across hundreds of plausible scenarios rather than optimizing for a single forecast, enabling the company to handle disruptions like demand spikes and logistical delays while maintaining same-day and next-day delivery promises.
Google Research announced AlphaEvolve, a Gemini-powered AI coding agent that optimizes complex systems across multiple domains including genomics, quantum physics, mathematics, and AI infrastructure. The system has achieved significant improvements such as 30% reduction in DNA sequencing errors, increasing grid optimization feasibility from 14% to 88%, and discovering more efficient hardware designs for next-generation TPUs.
Uber uses OpenAI to power AI assistants and voice features that help drivers earn smarter and riders book faster across a global real-time marketplace.
Microsoft is presenting 11 papers at NSDI 2026, a leading conference on networked systems design and implementation, covering advances in AI systems, cloud infrastructure, and large-scale networks. Key contributions include DroidSpeak for efficient LLM inference through KV cache sharing, Eywa for automated protocol testing using LLMs, and AVA for video analytics with vision-language models.
Hiroshi Fujiwara and Robert Little have been named recipients of the 2026 Joseph F. Engelberger Robotics Awards for their contributions to robotics leadership and technology. Fujiwara, executive director of the Japan Robot Association, is recognized for strategic policy work and international collaboration, while Little, co-founder of ATI Industrial Automation, is honored for advancing robotic end-effector technology and practical automation adoption in manufacturing.
NORD Drivesystems released new decentralized motor starters and variable-frequency drives (NORDAC LINK and NORDAC FLEX) designed for industrial automation with plug-and-play integration and AS-Interface fieldbus connectivity. The products reduce installation time, cabling complexity, and maintenance costs while supporting flexible system upgrades and retrofits across a range of power ratings.
OpenAI has released GPT-5.5 Instant as ChatGPT's new default model, featuring improved accuracy, reduced hallucinations, and enhanced personalization capabilities. The update aims to provide users with smarter and more reliable responses across various use cases.
OpenAI has partnered with AMD, Broadcom, Intel, Microsoft, and NVIDIA to develop MRC (Multipath Reliable Connection), a novel networking protocol designed to improve GPU performance and resilience in large-scale AI training clusters. The protocol addresses key challenges in frontier model training by minimizing network congestion, reducing failure impact through redundancy, and enabling more efficient data movement across supercomputer networks at the scale of OpenAI's Stargate infrastructure.
Amazon scientists and policy experts outline the company's responsible AI (RAI) pipeline, which integrates safety, fairness, and accountability throughout the AI development lifecycle across four phases: pretraining, post-training, evaluation, and frontier-risk assessment. The approach is supported by over 70 internal and external RAI tools, 500+ research papers, and tens of thousands of hours of employee training, guided by eight core pillars including safety, fairness, privacy, and transparency.
Amazon, Microsoft, NVIDIA, OpenAI, Google, and xAI have all signed deals to provide AI to the Pentagon's classified networks. The speed and scale of this shift raises uncomfortable questions about who's really driving AI development—and for what purpose.
OpenAI has introduced AI-generated pets as optional animated companions in its Codex app, a coding assistant tool. These pets serve as floating overlays that display Codex's status and task progress without performing coding themselves, and users can generate custom pets using AI or choose from eight built-in options.
The Robot Report Podcast episode discusses how robotics and AI startups can navigate enterprise adoption, featuring insights from Silicon Foundry's CEO Neal Hansch. The episode also covers news including the 2026 Engelberger Robotics Awards honoring industry leaders, Flex and Teradyne's expanded partnership to deploy collaborative robots and AMRs for physical AI scale, and Figure AI's significant production milestone of achieving 24x throughput increase to one humanoid robot per hour at its BotQ facility.
This article is a roundup of the top 10 robotics stories from April 2026, covering major developments including Tesla's plans to manufacture 10 million Optimus humanoid robots, Pudu Robotics' $150M funding round, Locus Robotics' autonomous fulfillment system, ABB's new collaborative robot family, and Generalist AI's GEN-1 general-purpose model achieving 99% task success rates. The month saw significant technical milestones, large funding rounds, and industry consolidation across humanoid robotics, industrial automation, and AI-powered systems.
Amazon Web Services, Microsoft, NVIDIA, and Reflection AI have signed agreements to provide AI technologies to the Pentagon for use on classified military networks, joining OpenAI, Google, and xAI in similar deals. The announcements highlight the rapid adoption of AI by the US Defense Department, though Anthropic remains the only major US AI provider without a Pentagon agreement after refusing to remove safeguards on its Claude chatbot.
Researchers conducted red-team testing of a network of over 100 AI agents to identify vulnerabilities that emerge only through agent-to-agent interaction at scale, discovering four network-level risks: propagation (agent worms spreading and collecting data), amplification (exploiting trusted agents to spread false claims), trust capture (hijacking verification systems), and invisibility (obscuring attack sources). The study reveals that single-agent benchmarks fail to predict network behavior, and while some agents demonstrated defensive behaviors, securing multi-agent systems remains an open challenge as AI agents increasingly interact across platforms like email and GitHub.
A critical Linux kernel vulnerability called CopyFail (CVE-2026-31431) has been publicly disclosed with working exploit code, allowing unprivileged users to gain root access across virtually all Linux distributions through a logic flaw in the kernel's crypto API. The vulnerability is particularly dangerous in containerized and multi-tenant environments, including AI agents running in containers, as it allows attackers to escape isolation boundaries and compromise entire systems.
Schaeffler AG announced a major expansion of its partnership with Hexagon Robotics, committing to deploy at least 1,000 AEON humanoid robots across its global production facilities by 2032, following a successful pilot program. The company will also supply high-precision actuators for AEON and has signed a separate partnership with VinDynamics to develop humanoid robots using Schaeffler's actuator technology and motion components.
Flex and Teradyne Robotics have expanded their partnership to accelerate physical AI and intelligent robotics deployment in manufacturing, with Flex serving as both a manufacturer of Teradyne's robotic components and a test deployment site. The collaboration will integrate collaborative robots from Universal Robots and autonomous mobile robots from Mobile Industrial Robots across Flex's global production facilities to drive operational efficiency and validate automation technologies at scale.
Apptronik has hired Daniel Chu, former chief product officer at Waymo, as its new CPO to lead the commercialization of its Apollo humanoid robot platform. The move signals the Austin-based startup's transition from R&D to mass-market deployment, backed by a $935 million Series A and plans to deploy general-purpose robots across industrial, healthcare, and eldercare applications.
Appetronix acquired Cibotica, a developer of automated ingredient dispensing and portioning technology, to expand its robotic restaurant operations beyond autonomous pizza kitchens. The acquisition brings Cibotica's Remy automated bowl and salad assembly system to Appetronix's restaurants, enabling the company to offer kitchen automation across multiple cuisines and formats while addressing labor shortages and rising costs in the restaurant industry.
This newsletter roundup covers several major AI developments including Elon Musk's legal battle with OpenAI over the company's for-profit status and potential $134 billion damages claim, the persistent challenge of AI profitability despite hype, and concerning trends around weaponized deepfakes. Additional news includes OpenAI ending its exclusive Microsoft partnership, Google's classified Pentagon AI deal, regulatory actions by the EU, and pricing moves by DeepSeek.
