Author: Carter

Head to Silicon Valley this May for the premier Physical AI Conference that’s defining the future of robotics, autonomous machines, and real-world AI implementation. The event gathers the engineers, developers, and AI trailblazers who are transforming raw intelligence into physical action.Mark your calendar: Physical AI Expo North America runs May 18–19, 2026 at the San Jose McEnery Convention Center. Over two packed days, global AI innovators, robotics pioneers, enterprise technologists, and next-generation infrastructure providers will converge to explore AI’s evolving role in the physical world.AI has quickly evolved far beyond chatbots and digital software — it’s now powering robotics, industrial…

  # Introduction  Data science evolves at a rapid pace. If you’re entering the field in 2026, the sheer volume of knowledge can feel overwhelming. From learning Python to grasping cloud platforms and staying current with cutting-edge machine learning techniques, the learning curve is steep. However, an emerging development is set to revolutionize the landscape—not by increasing your workload, but by amplifying your capabilities. This game-changer is the emergence of AI agents. Set aside the sensational headlines about machines replacing humans. By 2026, AI agents are poised to become ideal collaborators for data scientists. They won’t take your place; instead, they’ll…

Monaco, May 12, 2026 — After the outstanding success of its 2025 event, WAIB Summit Monaco is thrilled to confirm its return on June 9–10, 2026. The gathering will take place at the prestigious One Monte-Carlo, right in the center of Monaco’s famous Casino Square.Widely regarded as one of the world’s most elite summits focused on Web3, Artificial Intelligence, and Digital Assets, WAIB Summit Monaco 2026 will once again welcome over 2,000 international guests. Attendees will include visionary founders, family offices, institutional investors, venture capitalists, regulators, policymakers, global brands, and thought leaders who are driving the future of technology and…

Microsoft has introduced a new AI-powered system for uncovering software vulnerabilities, which found 16 previously unknown security flaws in Windows—four of them critical remote code execution weaknesses. Security experts believe this could represent a significant turning point in how vulnerabilities are detected and fixed. The system, called MDASH, was created by Microsoft’s Autonomous Code Security team in collaboration with the Windows Attack Research and Protection group. Microsoft announced in a blog post that the platform will be available in private preview for enterprise customers starting next month. All of the vulnerabilities were fixed as part of Microsoft’s May 12 Patch…

Posted on May 13, 2026 by Erick Bourgeois, Director & Head of Kubernetes Platform Engineering, RBC Capital Markets CNCF projects highlighted in this post As we shared in our earlier post on FluxCD, RBC Capital Markets has been on a deliberate journey to modernize our Kubernetes platform. GitOps with FluxCD gave us a solid deployment foundation. But as our platform grew, today we operate over 50 clusters spanning on-premises VMware environments and multiple clouds, we hit a set of problems that no single off-the-shelf tool was designed to solve together: How do you manage the lifecycle of the clusters themselves?…

By Marc Kavinsky, Lead Editor at IoT Business News.Netmore Group has partnered with Green Frog Asset Management and Sensational Systems to deliver a fully managed smart gas metering solution tailored to industrial and commercial utility users across the UK. The joint effort brings together LoRaWAN connectivity, device management, and advanced analytics—all aimed at giving businesses clearer insight into their energy consumption, expenses, and carbon footprint.Unlike many IoT deployments, smart gas metering presents unique challenges. Meters are frequently installed across wide-ranging locations—inside utility closets, on industrial premises, or in other hard-to-reach spots where physical access is difficult and signal conditions can…

Autonomous and robotic systems depend on high-bandwidth, low-latency sensor data to understand and move through their surroundings. They make real-time decisions by combining inputs from various sensors such as cameras, radars, lidars, microphones, and ultrasonic sensors. Most of this data travels from distributed edge sensors to centralized computing platforms via high-speed serial links, which also handle bidirectional control and error signaling. As perception systems become more advanced, the bandwidth, number, and complexity of these serial links are growing quickly. This expansion introduces a broader range of potential failure modes. To prevent an increase in system faults, downtime, and recalls, diagnostics…

During an AI deployment, our client’s compliance officer posed a question we weren’t prepared to answer. “How can you be sure your agent isn’t fabricating patient symptoms?” We had unit tests in place. We had integration tests ready. We had a model that performed exceptionally well on our demo dataset. What was missing, however, was an evaluation system capable of measuring hallucination rates, context faithfulness, and tool-selection accuracy in a live production environment. That oversight almost derailed the entire project. Six weeks later, we implemented a 12-metric evaluation framework that monitored every agent response, every tool call, and every retrieval…

It might seem unbelievable that a snail could be lethal, yet certain highly venomous sea snails—known as cone snails—can indeed be deadly to humans. Their venom consists of a mix of tiny proteins called conotoxins, some of which can disrupt nerve signaling by blocking ion channels. Currently, there is no antivenom available. There are hundreds of thousands of known conotoxin structures, and many pose no threat to humans—some are even medically beneficial: one has already been developed into an approved treatment for chronic pain. However, research on particularly dangerous conotoxins is tightly controlled in certain countries. So when Chinese researchers…

Cloud computing has given businesses remarkable flexibility, but it has also made software far harder to understand. Today, applications can run inside containers, serverless functions, APIs, managed databases, message queues, edge services, and across multiple cloud providers. When something breaks, slows down, or becomes expensive, teams need a reliable way to see what is happening across the entire system. This is exactly why OpenTelemetry is gaining so much importance.For example, open source observability tools are no longer a nice-to-have for modern engineering teams. They are becoming the shared language that cloud systems use to explain what they are doing.Why cloud…