Tech leaders are shifting artificial intelligence processing from cloud data centers to users' devices. On‑device AI promises faster response times, stronger privacy protection, and lower ongoing costs by eliminating the need for constant cloud compute. Companies such as Apple, Google, and Qualcomm are deploying specialized models and custom hardware to handle tasks like facial recognition, language summarization, and contextual assistance locally. While current models excel at quick tasks, more complex operations still rely on cloud offloading. Researchers at Carnegie Mellon highlight the trade‑offs and anticipate rapid advances in both hardware and algorithms over the next few years. Leia mais →

Qualcomm announced a new generation of Snapdragon processors at its Snapdragon Summit, positioning the chips as the hardware foundation for AI agents on smartphones and PCs. The Snapdragon 8 Elite Gen 5 and the Snapdragon X2 Elite family promise dramatically higher token‑processing speeds, increased TOPS performance, and on‑device large language model support. Executives Durga Malladi, Vinesh Sukumar, and CEO Cristiano Amon highlighted how the upgrades could make AI assistants faster, more reliable, and capable of accessing personal data locally. The company also showcased a prototype PC from Humain that uses a prompt‑driven AI interface, illustrating the shift toward agent‑centric user experiences. Leia mais →

Apple used its recent iPhone launch to stress the speed gains of the new A19 Pro processor. The company said the iPhone 17 Pro delivers up to 40% better sustained performance than its predecessor, while the iPhone Air sees a three‑fold increase in peak GPU compute thanks to a neural accelerator on each of its five GPU cores. Hardware chief John Ternus likened the iPhone’s compute power to that of a MacBook Pro, underscoring Apple’s push toward on‑device AI workloads. Leia mais →

Apple used its recent iPhone launch to stress the speed gains of the new A19 Pro processor. The company said the iPhone 17 Pro delivers up to 40% better sustained performance than its predecessor, while the iPhone Air sees a three‑fold increase in peak GPU compute thanks to a neural accelerator on each of its five GPU cores. Hardware chief John Ternus likened the iPhone’s compute power to that of a MacBook Pro, underscoring Apple’s push toward on‑device AI workloads. Leia mais →

Apple used its recent iPhone launch to stress the speed gains of the new A19 Pro processor. The company said the iPhone 17 Pro delivers up to 40% better sustained performance than its predecessor, while the iPhone Air sees a three‑fold increase in peak GPU compute thanks to a neural accelerator on each of its five GPU cores. Hardware chief John Ternus likened the iPhone’s compute power to that of a MacBook Pro, underscoring Apple’s push toward on‑device AI workloads. Leia mais →

Apple used its recent iPhone launch to stress the speed gains of the new A19 Pro processor. The company said the iPhone 17 Pro delivers up to 40% better sustained performance than its predecessor, while the iPhone Air sees a three‑fold increase in peak GPU compute thanks to a neural accelerator on each of its five GPU cores. Hardware chief John Ternus likened the iPhone’s compute power to that of a MacBook Pro, underscoring Apple’s push toward on‑device AI workloads. Leia mais →

Apple used its recent iPhone launch to stress the speed gains of the new A19 Pro processor. The company said the iPhone 17 Pro delivers up to 40% better sustained performance than its predecessor, while the iPhone Air sees a three‑fold increase in peak GPU compute thanks to a neural accelerator on each of its five GPU cores. Hardware chief John Ternus likened the iPhone’s compute power to that of a MacBook Pro, underscoring Apple’s push toward on‑device AI workloads. Leia mais →