The next leap in robotics won’t come from faster processors or more sophisticated mechanical design. It will come from better data, specifically, from training environments that replicate how the physical world actually behaves. [Read more…] about Why robotics can’t advance without physical AI
Artificial Intelligence
Genesis AI launches simulation platform to accelerate robotics development
Genesis AI has launched Genesis World 1.0, a new robotics simulation platform designed to dramatically reduce the time required to develop, test, and evaluate robotic AI systems.
The company says the platform can compress robotics evaluation cycles from days to minutes by enabling large-scale testing in photorealistic virtual environments rather than relying solely on physical robots.
According to Genesis AI, a robotics foundation model evaluation that would typically require nearly a week of continuous testing on real hardware can be completed in approximately 30 minutes using Genesis World 1.0 running on GPU infrastructure. [Read more…] about Genesis AI launches simulation platform to accelerate robotics development
Physical AI’s looming data rights battle: Interview with Kate Shen of Anaxi Labs
As artificial intelligence continues its rapid expansion into the physical world, much of the industry’s attention has focused on increasingly capable robots, larger AI models, and the vast datasets required to train them.
But a growing number of observers are asking a different question: who owns the data that makes physical AI possible, and who should benefit from it?
Kate Shen, co-founder of Anaxi Labs, is among those pushing the debate into the spotlight. Her company is developing infrastructure for what it describes as a global AI and robotics data supply chain, with a particular emphasis on worker consent, data ownership, compensation, and regulatory compliance. [Read more…] about Physical AI’s looming data rights battle: Interview with Kate Shen of Anaxi Labs
How Blockchain and Emerging Technologies Are Revolutionizing the Jewelry Industry
The jewelry industry is one of the world’s oldest luxury markets, but it’s also one of the least transparent when it comes to production methods and origins of materials.
Without easy access to data and information, buyers had to put their trust in the artisans and brands behind each piece.
Luckily, things have taken a drastic turn toward transparency, with more than 87% of modern consumers demanding verified ethical sourcing for both gems and precious metals. [Read more…] about How Blockchain and Emerging Technologies Are Revolutionizing the Jewelry Industry
Fort Robotics acquires Mapless AI to expand supervised autonomy and physical AI safety platform
Fort Robotics, the trust layer for physical AI, has announced the acquisition of Mapless AI, a Boston- and Pittsburgh-based leader in vehicle teleoperation and autonomy supervision.
The acquisition represents a significant commercial expansion of Fort’s Trust Platform, adding two critical new capabilities: remote human-in-the-loop teleoperation and onboard active safety.
By integrating these technologies, Fort expands its market offering from safety-certified machine control to a comprehensive architecture for supervised autonomy. [Read more…] about Fort Robotics acquires Mapless AI to expand supervised autonomy and physical AI safety platform
Matter Management Software vs. Case Management Software: Key Differences
Legal teams often compare matter management and case management platforms because both organize legal work. The difference is in scope, users, and daily purpose.
Matter management usually supports in-house legal departments that handle contracts, advice requests, compliance questions, corporate records, outside counsel work, and internal approvals.
Case management is more common in law firms, litigation teams, and legal service providers that manage client cases, deadlines, pleadings, evidence, and court-related work. [Read more…] about Matter Management Software vs. Case Management Software: Key Differences
Perspective from Harting: The industrial reality check – why factory winners execute, not just innovate
Rodriques Johnpeter, global industry segment manager, Harting
Manufacturers are operating in a moment where disruption is the norm, not the exception. Supply chain volatility, inflationary pressure and labor constraints all collide with a parallel push to embed automation and AI into plants that were never designed for today’s technologies.
Most facilities – well over two-thirds globally – are still brownfield sites, built around legacy machines, heterogeneous controls and fragile integrations that have been patched together over decades.
These environments leave almost no room for extended downtime or wholesale rip-and-replace projects, which is where many digital transformation strategies quietly break down. [Read more…] about Perspective from Harting: The industrial reality check – why factory winners execute, not just innovate
How AI and Automation Are Reshaping Enterprise Customer Loyalty in 2026
AI and automation are changing how enterprises build and maintain customer loyalty in 2026.
Companies now use predictive analytics, agentic AI, and real-time personalization to retain customers, reduce churn, and increase lifetime value, moving well beyond points-based rewards programs.
In this guide, we’ll break down how these tools are reshaping loyalty across three areas: churn prevention, personalization at scale, and the shift toward invisible, emotionally driven loyalty experiences. [Read more…] about How AI and Automation Are Reshaping Enterprise Customer Loyalty in 2026
Lightwheel reports $100 million in Q1 orders for physical AI robotics infrastructure
Lightwheel says it secured approximately $100 million in orders during the first quarter of 2026, reflecting what the company describes as a broader industry shift from robotics experimentation toward real-world deployment infrastructure.
Lightwheel is a robotics infrastructure company that develops simulation, synthetic data, evaluation, and deployment systems for training and scaling physical AI robots in real-world environments.
The company says the orders span simulation, synthetic data generation, evaluation systems, and deployment-oriented robotics infrastructure designed to support physical AI applications at industrial scale.
According to Lightwheel, the demand is being driven not simply by interest in robotics hardware or AI models, but by the growing need for systems capable of training, validating, and deploying robots reliably in real operating environments. [Read more…] about Lightwheel reports $100 million in Q1 orders for physical AI robotics infrastructure
Opinion: Why industrial AI must be trained on physics, not prompts
By Massimiliano Moruzzi, founder and CEO of Xaba.ai
Walk into any modern manufacturing facility and you’ll see the same tension playing out on the floor: incredibly capable machines, hemmed in by the assumption that everything will go exactly as planned. For decades, that assumption held well enough, but today it’s becoming a liability.
Manufacturers are under mounting pressure to produce faster, absorb more variability, and cut downtime, all while a new wave of AI promises to deliver “intelligence” without the complexity of traditional programming.
The pitch sounds compelling, but most of this AI is built on the same foundation as your company’s chatbot, and you cannot run a factory on prompts. [Read more…] about Opinion: Why industrial AI must be trained on physics, not prompts