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Celanese Corporation has taken a major step in modernizing its production facilities by partnering with NTT Data to deploy a fully managed private 5G network in Texas. The initiative is designed to support the next wave of industry 4.0 transformation, delivering secure, reliable connectivity across critical manufacturing environments. The rollout spans two sites in Clear Lake and Bishop, where uninterrupted communication is essential for logistics, production lines and workforce safety. By addressing long-standing challenges such as signal gaps and interference, the private 5G deployment ensures seamless operations and real-time digital access for employees on the ground. Transforming operations with reliable connectivity According to NTT Data, private 5G is more than a faster network—it is a foundation for intelligent operations. It allows manufacturers to automate processes, improve worker safety and make faster, data-driven decisions. "We are proud to partner with Celanes...

When Apple launches a new iPhone Pro, you usually know what you’re getting: faster, brighter, sharper. But this year’s iPhone 17 Pro feels… unfinished. It’s powerful, no doubt, but also oddly incomplete—almost like Apple built the hardware now and is waiting to unlock its true potential with AI later. A foundation of unexplained power On paper, the iPhone 17 Pro looks like a beast. It packs 12 GB of RAM (a huge leap from last year), runs on the new A19 Pro chip, and ditches titanium for an aluminum alloy body with a vapor chamber cooling system. All this screams “ready for heavy lifting.” But here’s the catch: Apple didn’t show off any groundbreaking AI features that would demand this extra horsepower. And no, you’re not getting 8K video or anything that pushes these new thermal systems to the edge. The big question: what is Apple holding back for next year? The camera: reliable but not revolutionary Apple doubled down on reliability this year. The triple 48MP setup delivers stu...

Transistors are the essential building blocks of modern electronics, powering everything from smartphones to supercomputers. Traditionally made of silicon, these devices regulate electrical current or amplify weak signals. But silicon has physical limits: it cannot operate below a certain voltage, restricting how compact and energy-efficient future electronics can become. MIT engineers have now introduced a breakthrough alternative. By replacing silicon with a magnetic semiconductor , they developed a magnetic transistor that not only switches current far more strongly than previous designs but also stores information. This dual capability could lead to smaller, faster, and more efficient electronics. Harnessing the power of magnetism The innovation builds on the field of spintronics, which uses the spin of electrons in addition to their charge. Electron spin, a fundamental property that makes electrons behave like tiny magnets, has long promised new ways to control electricity. U...

For years, smart glasses have either looked too bulky or too futuristic to fit into daily life. Remember Google Glass? Cool idea, awkward in public. Apple’s Vision Pro? Powerful, but it looks like ski goggles. That’s why Meta’s new Ray-Ban Display glasses, paired with the Meta Neural Band, feel different. They look like normal Ray-Bans, slip naturally into your lifestyle, and still pack AI-powered features that sound straight out of science fiction. First impressions: a premium, everyday feel Unboxing feels high-end: a sleek charging case that extends battery life from 6 hours to 30 hours. That’s almost a full weekend trip without needing a wall outlet. On your face, the glasses look like regular Ray-Bans. They’re slightly wider at the arms to fit the tech, but lightweight and comfortable enough to forget you’re wearing them. No “cyborg vibes,” no double-takes from strangers. The Neural Band: solving the social problem of AI Voice commands are useful, but let’s be honest—you don...

Science fiction is turning real as machines shaped like humans roll, walk, and work their way into warehouses and shop floors. But the big question remains: are humanoid robots here to support us, or to replace us? From fiction to factory floors For decades, the idea of a human-shaped machine belonged to movies or research labs. That’s now changing. Across the U.S., Asia, and Europe, engineers are producing robots that can walk, grasp, and collaborate well enough to earn trial runs in real workplaces. Amazon, the U.S.’s second-largest employer with over 1.5 million workers, has already built its millionth robot and is testing humanoids for delivery and logistics. The goal is clear: free humans from repetitive and dangerous tasks. But the risk is equally real—if large employers automate too quickly, communities dependent on those jobs may feel the sting of concentrated losses. A crowded field of contenders What was once a futuristic demo has quickly become a crowded race. Tesla’s ...

Artificial intelligence has evolved at lightning speed over the past decade. What started as narrow tools trained for specific problems are now models that can write, code, analyze, and even reason in ways that rival human performance. The big question is no longer if AI will reach human-level abilities but where it already has — and what remains uniquely human . DeepMind’s Jeff Dean: AI is better than the “average person” at most things Jeff Dean, Chief Scientist at Google DeepMind, recently shared a provocative insight on the Moonshot Podcast: today’s AI systems are already outperforming humans in a wide range of day-to-day cognitive tasks. “Most people are not that good at a random task if you ask them to do that they’ve never done before,” Dean said. “Some of the models we have today are actually pretty reasonable at most things.” However, he was quick to draw boundaries. These systems are not yet at the level of world experts, nor are they capable of physical tasks. Dean also...