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– Advertisement -The 32-bit RA and RX families of microcontrollers from Renesas’ cloud development kits now support Microsoft’s Azure cloud services platform. Microsoft’s Azure cloud services are supported by Renesas Electronics Corp.’s cellular-to-cloud development kits, which are powered by its RA and RX 32-bit microcontrollers (MCUs). The business’s LTE CAT-M1 module, which wirelessly connects MCUs to cloud services without a gateway, is also included in the Azure-certified cloud development kits. Asset tracking, building automation, medical data management, voice command, and industrial control are important embedded applications. The CK-RA6M5 and CK-RX65N cloud kits allow for the cloud-based connection and control of…

Goodbye Mobile Only, Hello Adaptive: Three essential updates from 2025 for building adaptive appsIn 2025 the Android ecosystem has grown far beyond the phone. Today, developers have the opportunity to reach over 500 million active devices, including foldables, tablets, XR, Chromebooks, and compatible cars.These aren’t just additional screens; they represent a higher-value audience. We’ve seen that users who own both a phone and a tablet spend 9x more on apps and in-app purchases than those with just a phone. For foldable users, that average spend jumps to roughly 14x more*.This engagement signals a necessary shift in development: goodbye mobile apps,…

Molecular interactions involving nucleic acids constitute a fundamental paradigm in biological systems, governing processes ranging from gene expression to cellular signaling. Quantitative characterization of the thermodynamic and kinetic parameters of these interactions is critical not only for deciphering molecular mechanisms but also for rational design in biomedical engineering and nanomaterials science. This review systematically surveys six major categories of quantitative methods used to study nucleic acid interactions: spectroscopic methods, separation-based methods, calorimetric methods, surface-based binding assays, single-molecule methods, and DNA nanotechnology-based methods. Each category is discussed with respect to its principal advantages and inherent limitations. While conventional methods such as…

It was three years ago when the launch of ChatGPT on November 30, 2022, triggered a revolution in artificial intelligence and brought AI chatbot technology into the limelight. Since then, progress has been undeniable, and LLMs’ capability of handling complex queries, summarization of large volumes of information, or even coding has greatly improved. Through data gathered and analyzed in 2024, it was found that consumers demonstrated a significant percentage (approximately 50%) of affinity to use AI chatbots in accessing support services. In particular, nearly half of the consumers accessed them when making appointments, 47% when seeking assistance with order fulfillment,…

MGM Resorts International has signed a new long-term branding deal with MGM China Holdings, strengthening the partnership as MGM China continues to post solid financial results. The updated agreement kicks in on January 1, 2026, and will run through the end of Macau’s current gaming concession in 2032. If Macau grants another concession after that, the deal will automatically extend until either that new concession ends or December 31, 2045, whichever comes first. Under the new terms, MGM China will pay a higher monthly license fee, increasing from 1.75% to 3.5% of its adjusted consolidated net monthly revenue, calculated under…

After laying out our bold CXM predictions for 2025 and then assessing how those bets played out across the year, it is now time to look ahead at what 2026 will demand from CX leaders.  As we look ahead to 2026, leading Customer Experience (CX) enterprises will start to move away from a collection of disconnected moments and will start operating as a coherent, seamless journey. Customer interactions will now be broken down into smaller, reusable components.   Artificial Intelligence (AI) will be visible and controllable, not just embedded in the background. Enterprises will expect to see experience-related impact in financial terms, not just scores and anecdotes. Under the surface, technology stacks and provider portfolios will be reshaped to support this new reality.  To help Customer…

We’re wrapping up our telecom year-in-review series with perhaps the hottest topics of them all: data centers, cloud, and AI. TeleGeography experts Jon Hjembo and Patrick Christian join the show to address core questions about recent data center and AI booms—specifically, what it means for the year ahead. If you haven’t yet, be sure to listen to our first two episodes on transport trends, pricing, and enterprise networks. 

Most enterprises scaling agentic AI are overspending without knowing where the capital is going. This isn’t just a budget oversight. It points to deeper gaps in operational strategy. While building a single agent is a common starting point, the true enterprise challenge is managing quality, scaling use cases, and capturing measurable value across a fleet of 100+ agents. Organizations treating AI as a collection of isolated experiments are hitting a “production wall.” In contrast, early movers are pulling ahead by building, operating, and governing a mission-critical digital agent workforce. New IDC research reveals the stakes:  96% of organizations deploying generative…

Today, I’m happy to announce new serverless customization in Amazon SageMaker AI for popular AI models, such as Amazon Nova, DeepSeek, GPT-OSS, Llama, and Qwen. The new customization capability provides an easy-to-use interface for the latest fine-tuning techniques like reinforcement learning, so you can accelerate the AI model customization process from months to days. With a few clicks, you can seamlessly select a model and customization technique, and handle model evaluation and deployment—all entirely serverless so you can focus on model tuning rather than managing infrastructure. When you choose serverless customization, SageMaker AI automatically selects and provisions the appropriate compute…

A sprawling academic cheating network turbocharged by Google Ads that has generated nearly $25 million in revenue has curious ties to a Kremlin-connected oligarch whose Russian university builds drones for Russia’s war against Ukraine. The Nerdify homepage. The link between essay mills and Russian attack drones might seem improbable, but understanding it begins with a simple question: How does a human-intensive academic cheating service stay relevant in an era when students can simply ask AI to write their term papers? The answer – recasting the business as an AI company – is just the latest chapter in a story of…