Once in a while, a young company will claim it has more experience than would be logical -- a just-opened law firm might tout 60 years of legal experience, but actually consist of three people who have each practiced law for 20 years. The number "60" catches your eye and summarizes something, yet might leave you wondering whether to prefer one lawyer with 60 years of experience. There's actually no universally correct answer; your choice should be based on the type of services you're looking for. A single lawyer might be superb at certain tasks and not great at others, while three lawyers with solid experience could canvas a wider collection of subjects. If you understand that example, you also understand the challenge of evaluating AI chip performance using "TOPS," a metric that means trillions of operations per second, or "tera operations per second."

COVID-19 may have canceled Computex this year, but there's no stopping ASUS from delivering its annual upgrade to mobile gamers. Following the accessory-laden ROG Phone II, today the Taiwanese giant finally unveiled its first 5G phone, the ROG Phone 3, which is also one of the first devices to carry Qualcomm's faster Snapdragon 865 Plus processor, offering a 10 percent boost in both CPU and GPU speeds. ASUS also made significant upgrades elsewhere, aimed at giving hardcore mobile gamers a competitive advantage. From afar, you could easily mistake the ROG Phone 3 for its predecessor, and that's understandable. During the planning process, ASUS decided that it wanted to use the ROG Phone II as a blueprint for its next gaming phone so that existing users can keep their accessories for their phone upgrade.

Artificial Intelligence And Machine Learning Are More Important Than You Might Think For Mobile ... [ ] Devices AI is a common buzz word these days, but most consumers probably aren't aware how it's interwoven in their everyday lives. Some of us in the analyst and tech press communities may also scoff at how often the term is used for some technologies that hardly resemble true artificial intelligence. That said, there are a few platforms, beyond just powerful data centers, that are a natural for AI processing and the NNs (Neural Networks) that drive them. One of those is AI inferencing (using the AI to infer information, versus training an NN) at the edge, and in your pocket, with a smartphone. As you might imagine, smartphone platforms from Android to Apple vary greatly, but there are common workloads like speech-to-text translation, and recommender engines (like Google Assistant and Siri), that make heavy use of common AI NN models, and they do so on-device for speed and latency advantages.

Three years ago, AI became a new selling point for smartphones. For a time, smartphones supporting AI features quickly spread, and AI performance has become the most important mobile processor parameter after the CPU and GPU. Today, demonstrating AI performance has become an indispensable part of mobile phone and mobile processor conferences. When it comes to the AI function on mobile phones, many people can immediately think of it-smart voice assistant and AI camera. There is no doubt that AI photography is the most commonly used function by ordinary consumers.