Author: Carter

**The New Frontier of Enterprise IoT: Beyond Borders and Connectivity** By Marc Kavinsky, Lead Editor at IoT Business News. The landscape of enterprise IoT is undergoing a profound transformation. For years, the model was simple: deploy connected devices within a single nation, connect them to a local network, and manage them under one regulatory framework. However, as supply chains globalize and industrial operations expand, this domestic-centric approach is rapidly becoming obsolete. New research from IoT connectivity provider Pelion, in partnership with ABI Research and surveying 676 IoT decision-makers, paints a clear picture of this shift. The study forecasts that internationally…

**The Human Bottleneck: Why Middle Management is the Next Layer to Automate** Modern corporations are fundamentally constrained by their human coordination layer. Unlike software, humans are high-latency decision-makers—prone to distraction, bias, and the need for exhaustive alignment through meetings, decks, and process. This coordination latency isn’t just inefficiency; it’s the primary throttle on organizational agility. While software has historically lacked the judgment to bypass this layer, the rise of autonomous, tool-using agents changes the equation. These agents can sit atop the existing organizational stack, handling execution and decision loops without the latency of human bureaucracy—transforming middle management from a personnel…

## Understanding Cost Explosions in Multi-Agent Systems: Beyond Routing and Retries The rise of agentic architectures—systems where specialized agents collaborate through frameworks like LangGraph—promises better modularity and clearer separation of concerns. However, our experience with a LangGraph-based supervisor-and-worker pattern revealed a challenging truth: introducing orchestration can dramatically increase costs in ways that aren’t immediately obvious. What looked like a clean architectural win on paper masked a subtle but significant spike in token usage, highlighting a critical gap in how we were evaluating and designing these systems. The increase wasn’t marginal; it was approximately a threefold jump for tasks that hadn’t…

**Chinese-Speaking Threat Actors Deploy Advanced Backdoors in Central Asian Cyber Espionage Campaign** Kaspersky researchers have uncovered a sophisticated cyber espionage campaign targeting government organizations across Central Asia and the Middle East. Since January 2025, a Chinese-speaking threat actor has been deploying two new obfuscated backdoors—OctLurk and SilkLurk—alongside a traffic proxying tool called LurkProxy to compromise systems in Afghanistan, Kyrgyzstan, Tajikistan, Uzbekistan, Kazakhstan, and the Syrian Arab Republic. The attacks have specifically targeted sectors including healthcare, research, government offices, foreign ministries, law enforcement, logistics, urban planning, and educational institutions. Notably, the activity has not yet been linked to any known advanced…

**Bond Yields and the Iran Conflict: What It Means for Markets and Crypto** The global financial landscape has been experiencing significant shifts, particularly in the bond markets, since the escalation of conflict in the Middle East. What began as a geopolitical event has evolved into a multi-month trend impacting everything from Treasury yields to cryptocurrency valuations. Here’s a breakdown of the key developments: ### The Current State of Bond Markets Since the beginning of the Iran war, U.S. bond yields have been on a steady upward trajectory. This trend is largely attributed to inflation expectations driven by soaring energy prices.…

## Article: MoQ Relay Provisioning on Cloudflare — Isolation, Control, and Live Delivery Cloudflare has launched a new API and dashboard capabilities for provisioning isolated Media over QUIC (MoQ) relays. This builds on last year’s global MoQ relay preview—where every Cloudflare server acted as an open MoQ relay—by adding the isolation and access controls needed for production workloads. The new MoQ provisioning API lets you create an isolated relay for your application and issue separate credentials for publishers and subscribers. Relays are available across Cloudflare’s network within seconds, with no servers to deploy, size, or load balance. ### What is…

Lance Whitney/ZDNETFollow ZDNET: Add us as a preferred source on Google.ZDNET’s key takeawaysMicrosoft has pushed out a new Windows 11 app called OneDrive Photos.The app lets you access, view, and edit your OneDrive photos.The app groups photos of the same people via facial recognition.Earlier this week, I noticed a new app called OneDrive Photos pop up in the Start menu on my Windows 11 PC. Being the curious type, I opened the app to snoop around and see what it could do. As its name indicates, it lets you view and even edit any photos you’ve stored in OneDrive, either…

print(“\n[10] Plots”) k = min(4, S) idxs = np.linspace(0, S – 1, k).astype(int) fig, axes = plt.subplots(3, k, figsize=(3.1 * k, 7.2)) axes = np.atleast_2d(axes) for c, i in enumerate(idxs): axes[0, c].imshow(rgb[i].transpose(1, 2, 0)); axes[0, c].set_title(f”frame {i}”, fontsize=9) d = depth[i].squeeze(-1) axes[1, c].imshow(d, cmap=”turbo”, vmin=np.percentile(d, 2), vmax=np.percentile(d, 98)) axes[2, c].imshow(depth_conf[i] > THR, cmap=”gray”) for r, lbl in enumerate([“RGB”, “depth”, f”conf > {THR:.2f}”]): axes[r, 0].set_ylabel(lbl, fontsize=10) for a in axes.ravel(): a.set_xticks([]); a.set_yticks([]) plt.tight_layout(); plt.savefig(f”{OUT}/depth_strip.png”, dpi=110); plt.show() plt.figure(figsize=(11, 3)) plt.subplot(1, 2, 1) plt.hist(depth_conf[::max(1, S // 15)].ravel(), bins=120, color=”#4477aa”) plt.axvline(THR, color=”crimson”, ls=”–“, label=f”threshold {THR:.2f}”) plt.yscale(“log”); plt.xlabel(“depth confidence”); plt.ylabel(“pixels (log)”) plt.legend(); plt.title(“Confidence distribution”) plt.subplot(1,…

**Deepen Your Understanding of Large Language Models with These 5 Books** The generative AI ecosystem moves fast, but the mathematics and architectures powering it are well-documented. The shift from classical natural language processing (NLP) to generative AI has changed what data professionals actually need to know. A few years ago, understanding recurrent neural networks or standard classification models was enough for most roles. Today, the scale and complexity of transformer architectures demand a more rigorous, systems-level approach to machine learning. If you want to move beyond prompting an API and actually understand how to train, fine-tune, and deploy foundation models,…

**KUKA Deploys Automation Management Platform at Toledo Facility, Aims to Help Manufacturers Modernize** KUKA AG has announced the successful deployment of its Automation Management Platform (AMP) at the KUKA Toledo Production Operations (KTPO) in Ohio. The move represents a significant step in bringing AI from pilot projects to full-scale, real-world manufacturing environments. **The New Era of Industrial Automation** AMP is designed to be an open orchestration platform that combines the strengths of traditional industrial automation with AI-driven decision-making. According to Marc Fleischmann, Chief Software and AI Officer at KUKA Group, this integration marks a new era for manufacturing. “Traditional automation…