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Neural Engine is a series of AI accelerators designed for machine learning by Apple. The first SoC including Neural Engine is Apple A11 Bionic for iPhone 8, 8 Plus and iPhone X introduced in 2017. [1] Since then, all Apple A series SoCs have Neural Engine. In 2020, Apple introduced the Apple M1 for Mac [2] and all Apple M series SoCs have ...
MacBook Air (M1, 2020) On November 10, 2020, Apple announced an updated MacBook Air with an Apple-designed M1 system-on-a-chip (SoC), launched alongside an updated Mac Mini and 13-inch MacBook Pro as the first Macs with Apple's new line of custom ARM-based Apple silicon processors. [6]
OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...
In March 2024, the MacBook Air was also updated to include the M3 chip. [153] In October 2024, several Macs were announced with the M4 series of chips, including the iMac, a redesigned Mac Mini, and the MacBook Pro; all of which included 16 GB of memory as standard. The MacBook Air was also upgraded with 16 GB for the same price. [154]
Steve Jobs introduced the MacBook Air during Apple’s keynote address at the 2008 Macworld conference on January 15, 2008. [4] The first MacBook Air was a 13.3-inch model, initially promoted as the world's thinnest notebook at 1.9 cm (0.75 in) (a previous record holder, 2005's Toshiba Portege R200, was 1.98 cm (0.78 in) high).
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
Core Audio is a low-level API for dealing with sound in Apple's macOS and iOS operating systems.It includes an implementation of the cross-platform OpenAL. [1]Apple's Core Audio documentation states that "in creating this new architecture on Mac OS X, Apple's objective in the audio space has been twofold.
Meta-learning [1] [2] is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of 2017, the term had not found a standard interpretation, however the main goal is to use such metadata to understand how automatic learning can become flexible in solving learning problems, hence to improve the performance of existing ...