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Five inventions since 2010
These inventions have been very important in making computers faster and better. They have also opened up new ways to innovate in many areas, such as AI and machine learning, as well as in gaming, education, and the workplace. -
Raspberry PI
The Raspberry Pi, which was first released in 2012, is a collection of compact single-board computers created by the Raspberry Pi Foundation. Its primary goal is to encourage the teaching of fundamental computer science principles in schools and developing nations. Its low cost, compact size, and adaptability have made it extremely popular among hobbyists, educators, and professionals for a variety of uses, including educational projects, home automation, and even industrial applications. -
NVMe (Non-Volatile Memory Express) SSDs
The introduction of NVMe SSD technology in 2013 brought about a major breakthrough in storage solutions. NVMe is a protocol designed for Solid State Drives (SSDs) that utilizes the PCIe (Peripheral Component Interconnect Express) bus. This technology enables faster data access speeds compared to older storage interfaces like SATA, resulting in higher throughput and lower latency. This technology has revolutionized data storage and has been widely embraced by both consumers and businesses. -
Microsoft HoloLens
The Microsoft HoloLens, which came out in 2015, is one of the first hologram computers that you can buy. It's a mixed reality headset that puts holograms on top of the real world. This lets you interact with 3D models in a wide range of settings, from games and schooling to professional design and manufacturing. The HoloLens was a big step forward in augmented reality technology. It gave makers and users new ways to connect with digital material.
Look at where we are now with Virtual Reality! -
TPU (Tensor Processing Unit) by Google
Google introduced the Tensor Processing Unit (TPU), a machine learning-specific ASIC, in 2016. The TPU improves machine learning training and inference. It is optimised for Google's open-source machine learning framework TensorFlow. TPUs provide specialized hardware that boosts AI calculation speed and efficiency. -
AMD Ryzen CPUs
The introduction of AMD's Ryzen CPU series in 2017 was a watershed moment for the processor industry. With their low prices and high core and thread counts, Ryzen CPUs challenged Intel's consumer CPU market dominance. As a result of this rivalry, the processor market became more valuable and innovative, which benefited both consumers and professionals by providing them with better, cheaper computing options.