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MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to test whenever a model is deployed in a new setting.“We demonstrate that even when you train models on large amounts of data, and choose the best average model, in a new setting this ‘best model’ could be the worst model for 6-75 percent of the new data,” says Marzyeh Ghassemi, an associate professor in MIT’s Department of Electrical Engineering and Computer Science (EECS), a member of the Institute for Medical…

Customers migrating from on-premises Oracle databases to AWS face a challenge: efficiently relocating large object data types (LOBs) to object storage while maintaining data integrity and performance. This challenge originates from the traditional enterprise database design where LOBs are stored alongside structured data, leading to storage capacity constraints, backup complexity, and performance bottlenecks during data retrieval and processing. LOBs, which can include images, videos, and other large files, often cause traditional data migrations to suffer from slow speeds and LOB truncation issues. These issues are particularly problematic for long-running migrations that can span several years. In this post, we present…

Today’s factory floors are buzzing with innovation, driven by artificial intelligence, automation, and hyper-automation. From autonomous vehicles gracefully navigating warehouses to vertical farms growing crops with unprecedented precision, the industrial landscape is undergoing a radical transformation. But behind every smart robot and every AI-powered system lies a crucial, often invisible, hero: the network. Traditional Wi-Fi, while great for your laptop, often struggles to keep up with the extreme demands of industrial environments. Imagine challenging conditions: numerous obstacles and significant RF interference severely impacting wireless connectivity, all while requiring absolute, unwavering connection for moving machinery. This is where the rubber meets…

The Hacker NewsJan 22, 2026Email Security / SaaS Security Security teams at agile, fast-growing companies often have the same mandate: secure the business without slowing it down. Most teams inherit a tech stack optimized for breakneck growth, not resilience. In these environments, the security team is the helpdesk, the compliance expert, and the incident response team all rolled into one. Securing the cloud office in this scenario is all about finding leverage: identifying the strategic control points that drive the most resilience without adding operational overhead. Google Workspace provides an excellent security foundation, but its native tooling has inherent limitations,…

Support CleanTechnica’s work through a Substack subscription or on Stripe. Or support our Kickstarter campaign! Valo makes its U.S. debut as Vertical shares plans for electric air travel routes in and out of Manhattan with Bristow and Skyports Infrastructure The routes would cut multi-hour journeys to minutes by air Valo will be on public display at the Classic Car Club in NYC on 23 January 2026 Vertical Aerospace (NYSE: EVTL) launches its U.S. tour in New York City this week, bringing its new commercial electric aircraft, Valo, to the U.S. for the first time alongside plans for electric…

7/29/18 2:20 PM · 2 min read Turn an incompatible object into a target interface or class by using a real world example and the adapter design pattern in Swift. Fist of all let me emphasize that, this is the real world representation of what we’re going to build in this little Swift adapter pattern tutorial:Adapter is a structural design pattern that allows objects with incompatible interfaces to work together. In other words, it transforms the interface of an object to adapt it to a different object.So adapter can transform one thing into another, sometimes it’s called wrapper, because it wraps…

Modern manufacturers face an increasingly complex challenge: implementing intelligent decision-making systems that respond to real-time operational data while maintaining security and performance standards. The volume of sensor data and operational complexity demands AI-powered solutions that process information locally for immediate responses while leveraging cloud resources for complex tasks.The industry is at a critical juncture where edge computing and AI converge. Small Language Models (SLMs) are lightweight enough to run on constrained GPU hardware yet powerful enough to deliver context-aware insights. Unlike Large Language Models (LLMs), SLMs fit within the power and thermal limits of industrial PCs or gateways, making them…

Fancy an Apple-branded wearable AI pin? A new report suggests Apple is working on a compact AI-powered pin, roughly the size of an AirTag. If it makes it to market, the device would mark Apple’s first product built primarily around AI and could run the revamped Siri chatbot. According to a report from The Information, the wearable is still in development, though the project could face delays or even be shelved altogether. An AI-generated image of the rumored Apple AI pin. The AI pin is reportedly circular in shape, closely resembling the AirTag in both size and design, with an…

Since the rapid development of nanoscience and nanotechnology, nanomedicine, as an important branch of nanomaterial applications, has flourished in the past two decades. Nanomedicine has also evolved from the initial stage of liposome-encapsulated nanodrugs to develop advanced drug delivery systems designed as multifunctional therapy platforms targeting various diseases. Tracing the history of nanomedicine’s development, the development of inorganic nanomedicine has witnessed a transformative shift from initially focusing on biological medical imaging towards the design of targeted platforms for disease therapies, and eventually culminating in the establishment of an integrated system that combines the regulation of the immune microenvironment with targeted…

The iPhone Air 2 looks set to launch later this year – and I really wish it wasn’t. Now, don’t get me wrong, I can see the appeal of the iPhone Air. Essentially, you’re getting the familiar iPhone experience, including top-tier performance, within an incredibly thin and light chassis. But, having reviewed the original, it was obvious that the phone needed significant changes. The cameras are badly hamstrung, the speakers are terrible and charging is painfully slow. When you’re paying at least £999/$999, that’s simply not good enough. In theory, this wasn’t a major issue. The iPhone Air is widely…