Stay informed on the latest developments in the tech world with the Investing News Network’s round-up.
The iPad Air, powered by the M2 chip, comes with a high-resolution Liquid Retina display, faster Wi-Fi connectivity, front-facing cameras with AI-enabled Center Stage technology and integration with cloud-based apps. As for the iPad Pro, it is powered by Apple’s new M4 chip and has its most advanced screen technology to date, the Ultra Retina XDR display.
The new tablets will begin shipping on May 15. The M4 chip uses advanced 3 nanometer technology and features a new display engine to support the Ultra Retina XDR. Its central processing unit has up to 10 performance and efficiency cores, allowing it to perform complex tasks up to 1.5 times faster than the M2 chip.
Additionally, its 10 core graphics processing unit is equipped with machine-learning accelerators and features Dynamic Caching, an innovative addition to the M3 chip family that allows for real-time memory allocation, improving overall efficiency. Finally, the chip includes a 16 core neural engine, Apple’s fastest to date, enabling on-device machine learning.
Apple also introduced a new Magic Keyboard with a built-in trackpad that attaches magnetically to the iPad, and a more precise Apple Pencil Pro with a sensor that lets users easily switch between tools and adjust line weight. Aside from that, it announced new upgrades for Final Cut Pro and Logic Pro, adding AI features such as Live Multicam, Stem Splitter and ChromaGlow. The updates will be available on iPad and Mac on May 11 and May 13, respectively.
Analysts were predicting a profit of US$1.53 per share and revenue of US$4.01 billion.
The news sent the company’s share price up from US$49 to US$58 at the end of trading on Tuesday before it retracted below US$50 on Thursday (May 9). As of the close of trading on Friday, Reddit was trading for US$53.53.
According to House Foreign Affairs Committee Chairman Michael McCaul, who spoke to Bloomberg on Tuesday, the decision was made in an effort to prevent China from advancing its development of AI.
Hugging Face has primarily focused on developing AI and natural language processing (NLP) tools. The company has created several open-source libraries, including the Transformer library, which provides a wide variety of NLP architectures; the Tokenizers library, which offers text tokenization algorithms for NLP tasks; and Hugging Face Hub, a platform for hosting and sharing pre-trained models, data sets and other resources.
LeRobot is built on top of PyTorch, an open-source machine-learning library developed by Facebook’s AI research lab and used for developing and training deep-learning models. With the release of LeRobot, Hugging Face is expanding its focus beyond traditional AI software and venturing into the world of robotics hardware.
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
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