Author: Admin
VICTORIA — Joanna Kyriazis, director of policy and strategy at Clean Energy Canada, made the following statement in response to the joint declaration between Canada and Germany to collaborate around their auto, battery, and critical minerals sectors. “Canada isn’t just imagining a new vision for its auto sector—it’s taking concrete steps to realize one. Today’s agreement with Germany to expand bilateral industrial cooperation around electric and hydrogen-powered vehicles, including auto and critical mineral supply chains, is yet another moment that will be remembered when Canada looks back at how it reshaped its auto destiny at a critical time. “Like the…
Let’s talk homebuilding. We are a couple of months into the new year, and there is much for homebuilders to consider as the year continues to unfold. For instance, 84% of homebuilders said that elevated mortgage rates were the most significant challenge builders faced in 2025, and 65% anticipate interest rates will remain a problem in 2026. Other serious issues builders faced in 2025, according to the NAHB (National Assn. of Home Builders)/Wells Fargo Housing Market Index, include: Concern about the employment/economic situation The cost/availability of developed lots Negative media reports making buyers cautious Cost/availability of labor Rising inflation in…
Posted by Matthew McCullough, VP Product Management, Android Developer Today we’re releasing the second beta of Android 17, continuing our work to build a platform that prioritizes privacy, security, and refined performance. This update delivers a range of new capabilities, including the EyeDropper API and a privacy-preserving Contacts Picker. We’re also adding advanced ranging, cross-device handoff APIs, and more.This release continues the shift in our release cadence, following this annual major SDK release in Q2 with a minor SDK update.User Experience & System UIBubblesBubbles is a windowing mode feature that offers a new floating UI experience separate from the messaging…
In the fast moving field of two dimensional materials, even a slight rotational shift between layers can dramatically change how a material behaves. Scientists previously discovered that when atom thin crystals are stacked with a small angular mismatch, their electronic properties can transform. This approach, known as moiré engineering, has become a key strategy for designing new forms of quantum matter. Now researchers report in Nature Nanotechnology that magnetism can also behave in surprising ways under these conditions. In twisted antiferromagnetic layers, magnetic spin patterns are not limited to the small repeating moiré unit cell. Instead, they can spread into…
Enterprise IT systems have grown into sprawling, highly distributed environments spanning cloud infrastructure, applications, data platforms, and increasingly AI-driven workloads. Observability tools have made it easier to collect metrics, logs, and traces, but understanding why systems fail and responding quickly remains a persistent challenge. As complexity continues to rise, the industry is looking beyond dashboards and alerts toward agentic AI systems that can reason about operational data, reduce toil, and take action when things go wrong. SolarWinds offers solutions to monitor, understand, and remediate issues across complex, distributed systems. The company began as a leader in network and infrastructure monitoring,…
My first post made the case for what a semantic layer can bring to the modern enterprise: a single source of truth accessible to everyone who needs it—BI teams in Tableau and Power BI, Excel-loving analysts, application integrations via API, and the AI agents now proliferating across organizations—all pulling from the same governed, performant metric layer. The promise is compelling. But what happens when organizations actually build and deploy one? To find out, I interviewed several early adopters who’ve moved semantic layers from concept to production. Four themes emerged from those conversations: some surprising, some predictable, and a few that…
Enterprises are adopting Artificial Intelligence (AI) agents at pace, sourcing from marketplaces on platforms such as Microsoft, Salesforce, ServiceNow, and Amazon Web Services (AWS), while also building custom implementations using low-code builders and pro-code frameworks in core Integrated Development Environments (IDEs). The result is a rapid shift from pilots to portfolios. Whatever the label, agents, copilots, or digital workers, these systems interpret intent, invoke tools, and take actions across enterprise applications. What matters now is whether they do it consistently, within enterprise rules, and without creating new operational risk. For decades, enterprises have relied on the Software Development Life Cycle (SDLC) to industrialize how they build and run applications. Yet agentic systems are still…
The Report Minimum Technical Performance Requirements for IMT-2030 (6G) was formally finalized at the 51st meeting of ITU-R Working Party 5D (WP 5D), which concluded on 12 February 2026. It marks the official transition of 6G from vision and concept to the implementation phase, laying a solid foundation for the subsequent submission and evaluation of candidate technology proposals, as well as the development of globally unified standards. This report systematically defines multiple key performance indicators that 6G radio interface technologies shall meet. For example, peak network capacity in large-scale networking, ubiquitous determinism and composite requirements, among other factors, are posing…
In this article, you will learn how key-value (KV) caching eliminates redundant computation in autoregressive transformer inference to dramatically improve generation speed. Topics we will cover include: Why autoregressive generation has quadratic computational complexity How the attention mechanism produces query, key, and value representations How KV caching works in practice, including pseudocode and memory trade-offs Let’s get started. KV Caching in LLMs: A Guide for DevelopersImage by Editor Introduction Language models generate text one token at a time, reprocessing the entire sequence at each step. To generate token n, the model recomputes attention over all (n-1) previous tokens. This creates…
I use AI a lot. But if I’m being honest, most of the time it feels like working with a brilliant intern who never actually touches the keyboard. It tells me what to do, suggests steps, and even drafts the perfect response. Yet I’m still the one switching tabs, filling forms, copying data, and stitching everything together. If you’ve used AI regularly, you probably relate. But what if AI could actually execute those steps for us? Not just guide us, but take action. That would feel like AI being used to its full potential. That’s exactly what Perplexity is now…