U.K.-based semiconductor Intellectual Property (IP) house Imagination Technologies recently made the headlines for securing a US$100 million investment to bolster the development of its edge Artificial Intelligence (AI) portfolio. The company has an illustrious legacy, once claiming the top position in Graphics Processing Unit (GPU) innovation, ahead of NVIDIA. In the early days of mobile platforms, Imagination’s footprint was immense: PowerVR IP was in a range of Apple products, including the first iPhone in 2007, MediaTek Systems-on-Chip (SoCs), gaming consoles, automotive systems, and more. By 2008, PowerVR graphics had been shipped in more than 100 million consumer devices, reaching 1 billion by 2013.
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NVIDIA's market capitalization continues its meteoric rise, largely driven by ever-growing data center revenue that surprises financial analysts time and again. NVIDIA's early bets on Artificial Intelligence (AI), followed by generative AI (via its cooperation with OpenAI), were winners, and this lends its charismatic CEO the confidence and, in many people's eyes, the legitimacy to define the future of computing. During his keynote at COMPUTEX, we heard again that the future will be “generative,” reducing the need to retrieve data stored in data warehouses around the world.
With more than 80,000 visitors, this year’s COMPUTEX was, by far, the most attended in the history of the show. Traditionally, COMPUTEX is where the computer and information technology supply chain, notably Asian component and module suppliers, Original Device Manufacturers (ODMs), and Original Equipment Manufacturers (OEMs), exhibit their latest innovations to attract their customers to the latest innovation. While in the past, the show focused mainly on Personal Computers (PCs), laptops, the Internet of Things (IoT), and other consumer electronics technologies, Artificial Intelligence (AI) dominated the show this year, targeting the entire stack from cloud applications to the far edge of the infrastructure and from consumer applications to the enterprise.
Have you ever had to set up a meeting with a client or your co-workers who live in various time zones? Finding a time that works for everyone can be frustrating and time-consuming. You may find a time that works for your team in New York City, but attendees from Singapore are probably sleeping. Workplace inefficiencies such as this can be eliminated if your device has on-device Artificial Intelligence (AI) embedded into its chipset. Recent advancements in AI model optimization unlock a plethora of fine-tuned, contextualized applications that offer unprecedented productivity gains to users.