The best AI technologies that will change the way you use technology that I'm looking forward to

Artificial intelligence technologies are developing rapidly beyond expectations, as they contribute to improving and facilitating many aspects of our daily lives. As these technologies become increasingly integrated into different products, smart devices are becoming smarter and more efficient. Whether you're looking to improve smart home performance or boost your productivity at work, there are a host of new AI-driven products worth paying attention to.

In recent years, neural processing units (NPUs) have become better and more capable. As these new AI processors become more accessible to manufacturers, we are now seeing a wave of innovative new AI products that could revolutionize how we use and interact with technology. Below are the products I'm most excited about. Check for signs that AI is already at its peak.

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1. Augmented reality headsets and smart glasses

Artificial Intelligence is bringing the future to various wearable devices, and AR and VR headsets are leading the way. For example, Meta's Quest 3 combines its Meta AI assistant with miniaturized hardware, including advanced sensors, neural processing units, and AI-enhanced cameras. This combination allows users to use Meta Quest 3 to enjoy mixed reality games and virtual workout sessions, watch virtual content online, and perform daily productivity tasks while being aware of their physical surroundings.

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Apple users can also opt for Apple's Vision Pro augmented reality headset, which supports and augments the use of other Apple devices. Vision Pro glasses combine AI with highly advanced sensors and LiDAR technology that maps your surroundings to merge the physical and digital worlds into one seamless environment. This versatility allows users to enjoy an immersive VR experience similar to that of Meta Quest 3 with the addition of the Apple ecosystem.

Are you looking for smart glasses to take with you on your travels? Ray-Ban smart glasses now integrate AI-powered Meta Assistant. Pair it with a 12-megapixel camera, auto-transition lenses, earbuds, and an AI edge processor, and you've got a great AI device you can bring anywhere to record hands-free photos and video, display automatic language translations, provide voice commands, and access push notifications.

2. Smartphones powered by artificial intelligence

Thanks to chipsets like Google's Tensor and Apple's Bionic series, smartphones have evolved by incorporating artificial intelligence. These system-on-chip (SoC) processors contain neural processing units such as Google's Tensor Processing Unit (TPU) and Apple's Neural Engine (ANE). These chips handle everything from FaceID and augmented reality applications to computational photography by efficiently distributing AI workloads across the dedicated CPU, GPU, and neural processors.

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Google's Tensor chip excels at computational imaging and natural language processing. It brings the latest Pixel phones some of the most useful features, like AI-assisted Night Mode, local AI photo editing, real-time transcription and translation, song discovery, and Adaptive UX.

Apple's latest Bionic chipset, on the other hand, brings on-chip AI capabilities to every iPhone, such as enhanced augmented reality experiences, hands-free voice commands with Siri, fast and secure facial recognition, seamless gaming with augmented reality apps, and voice recognition features. . Check out the features that the Google Pixel 9 series, Pixel Watch 3, and Pixel Buds Pro 2 bring.

3. Home robots

AI-powered home robotics is a field where advances in sensors, machine learning and autonomous navigation are coming together. New AI-powered home robots like Amazon's Astro use advanced facial recognition AI and machine learning to navigate your home autonomously.

What makes Astro special is its fusion of artificial intelligence and sensor technologies like LIDAR and SLAM (Simultaneous Locating and Mapping), allowing it to create a map of your home and detect obstacles. AI allows it to move smoothly, understand contextual cues, such as recognizing faces, interpreting voice commands, and learning your home preferences over time.

With the growing popularity of home robots, we can use them in home security (surveillance), control center for smart home devices, and robot pets that provide companionship for children, the elderly, or the disabled.

4. AI-powered laptops

With AI becoming an integral part of work, entertainment and mundane daily tasks, AI-powered laptops are now being rolled out to the public. Similar to AI-powered smartphones, these laptops feature neural processing units as part of their SoCs. Some of the most popular AI processors include Intel's Lunar Lake, AMD's Strix Point, Qualcomm's X Elite, and Apple's M series processors, each designed to harness the power of AI in different ways.

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Intel's Lunar Lake processors promise to leverage artificial intelligence to improve power efficiency, predict user behavior, and intelligently manage system resources. With AI-driven apps like the upcoming Microsoft Copilot expected to become a Windows standard, the Lunar Lake AI processor should help reduce battery usage even further, with the integrated NPU efficiently handling most tasks.

While Intel focuses on power efficiency, AMD's Strix Point processors push AI workloads to the forefront of everyday computing tasks, such as gaming optimization, video conferencing, and multimedia content creation. Its use of AI accelerators allows for effective real-time noise reduction, gesture recognition and video editing improvements, making Strix Point the processor of choice for high-performance laptops suitable for gaming and content creation.

The addition of Qualcomm's Snapdragon X-Elite processors to the latest AI processors is unexpected but welcome. The ARM architecture makes the X-Elite processor inherently power efficient, but at the cost of limited application support. However, with the growing popularity of Windows on ARM, ARM-powered laptops seem to have a bright future. Not only are they power efficient, but running native ARM apps also makes them capable devices for gaming and other resource-intensive tasks.

Another ARM-based AI processor is Apple's M series chipset. It includes neural AI engines that dramatically increase the speed and efficiency of image and video processing tasks. The unified memory architecture of these chips also ensures that machine learning models have direct access to high-speed memory, enabling faster AI-driven applications such as voice dictation and augmented reality.

5. AI cameras

AI-powered cameras are helping transform how we capture moments and produce content. This new type of camera makes it easier to capture smooth, professional shots without complex manual settings and configurations.

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For example, the Hover Air X1 drone is equipped with artificial intelligence that can autonomously follow objects, avoid obstacles, and optimize framing to get the perfect shot. Another recently released AI drone is DJI's Neo, which takes framing a step further by using reinforcement learning, allowing the drone to predict movement patterns and dynamically adjust its flight paths. The high levels of autonomy of both drones can only be achieved through deep learning algorithms and real-time recognition software.

AI cameras can also be found in handheld cameras like the Insta360 X4 action camera. It efficiently uses its AI stabilization, object tracking capabilities, and voice commands to capture the surroundings while keeping you focused at all times.

Still cameras like the Insta360 Link webcam also use AI to easily track and follow the object with the AI ​​camera and automated tilt and pan functions. Whiteboard mode uses AI to focus and frame the whiteboard so it appears cut and perfectly level for the audience to see the contents well. Other advanced features, such as intelligent noise cancellation, gesture control and overhead mode, make the Inta360 Link the ideal companion for online classes and presentations.

All of this is possible thanks to built-in AI accelerators, which allow these devices to perform complex calculations without relying on cloud-based processing, ensuring fast response times and real-time decision-making.

6. Self-driving cars

Finally, we have self-driving cars. Self-driving technology has been around for a long time now, but only in recent years has AI helped self-driving vehicles move beyond conditional automation (Level 3) to high automation (Level 4) based on the five levels of driving automation. Check out everything you need to know about self-driving cars and how they work.

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Waymo's fully self-driving technology is taking the lead in self-driving cars. Which uses artificial intelligence for tasks such as obstacle detection, route optimization, and complex urban navigation. Waymo cars rely on deep learning and powerful processors to achieve full autonomy. Crucially, the AI ​​is trained on millions of miles of real-world driving data, making it safer and smarter over time.

Tesla's Autopilot technology takes deep learning AI even further by using only machine vision to enable highly autonomous driving on its latest Cybertruck. Powering Tesla's self-driving capabilities are its internally developed Full Self-Driving (FSD) chips, which contain a dedicated AI neural network to process sensor data in real-time without a cloud connection.

Integrating AI into everyday products is transforming how we interact with technology. From wearable devices like augmented reality glasses to smartphones, laptops, and even home robots, artificial intelligence is enhancing functionality and user experience in ways we could only have dreamed of a few years ago. As these technologies continue to improve, we can expect an even brighter future for AI-enhanced technology. Now you can see how artificial intelligence is reshaping social media and could destroy it.

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