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Windows, macOS Freeware music player. Pre-installed on Mac computers. JetAudio: Windows, Android Shareware media player. MediaHuman Audio Converter: Windows, macOS Freeware audio converter. (Supports conversion of MP3, AAC, AIFF, WAV etc.) MPlayer: Windows, macOS and Linux Open-source media player. Mpv (media player) Windows, macOS and Linux
Several Samsung Galaxy tablets, including the Note 10.1 (2014 Edition), Tab S 8.4, 10.5 and TabPRO 8.4, 10.1 and Note Pro 12.2, as well as the Gigaset QV1030, also feature a WQXGA resolution display. In 2012, Apple released the 13 inch MacBook Pro with Retina Display that features a WQXGA display, and the new MacBook Air in 2018.
In 2012, a team in MIT's Microsystems Technology Laboratories developed a 22 nm transistor based on InGaAs that, at the time, was the smallest non-silicon transistor ever built. The team used techniques used in silicon device fabrication and aimed for better electrical performance and a reduction to 10-nanometer scale. [115]
[11] [10] Further developments include a 1978 paper by M. J. Narasimha and A. M. Peterson, and a 1984 paper by B. G. Lee. [10] These research papers, along with the original 1974 Ahmed paper and the 1977 Chen paper, were cited by the Joint Photographic Experts Group as the basis for JPEG's lossy image compression algorithm in 1992. [10] [12]
HDR gaming (including 10-bit color depth, Rec. 2020 color gamut) On-device display: 4K@60 Hz, QHD+@144 Hz; External display: 4K@60 Hz, 10-bit, Rec. 2020, HDR10, HDR10+ DSP features Hexagon 780 with Fused AI Accelerator architecture 6th generation "AI engine" capable of 26 trillion operations per second (TOPS), From 15 TOPS on 865.
The touchscreen personal digital assistant (PDA)–derived nature of adapted operating systems like Palm OS, the "Pocket PC" versions of what was later Windows Mobile, and the UIQ interface that was originally designed for pen-based PDAs on Symbian OS devices resulted in some early smartphones having stylus-based interfaces.
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.