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Apple @ Work is exclusively brought to you by Mosyle, the only Apple Unified Platform. Mosyle is the only solution that integrates in a single professional-grade platform all the solutions necessary to seamlessly and automatically deploy, manage & protect Apple devices at work. Over 45,000 organizations trust Mosyle to make millions of Apple devices work-ready with no effort and at an affordable cost. Request your EXTENDED TRIAL today and understand why Mosyle is everything you need to work with...
Managed Device Attestation enables enterprises to verify Apple devices for security, protecting the corporate network. Here's how to use it. Apple Device Attestation. Security background In our interconnected world, the issue of device identity plays a critical role in online security. Traditional security models use perimeter defenses plus a firewall to attempt to verify devices - and block malicious ones. The idea behind perimeter defenses is that a network (or part of a network)...
Apple is developing its own large language model (LLM) that runs on-device to prioritize speed and privacy, Bloomberg's Mark Gurman reports. Writing in his "Power On" newsletter, Gurman said that Apple's LLM underpins upcoming generative AI features. "All indications" apparently suggests that it will run entirely on-device, rather than via the cloud like most existing AI services. Since they will run on-device, Apple's AI tools may be less capable in certain instances than its direct...
Goalkeepers will be punished if they hold the ball for longer than eight seconds. We now know which leagues can trial this rule in a bid to tackle time-wasting. Liverpool have been 'hungover' since Man United dumped them out of the FA Cup - where has their energy gone?
Bloomberg's Mark Gurman reports that Apple will reveal its first AI applications later this year, noting that they will run locally without an internet connection. Gurman's comments align with prior speculation deduced from the company's hiring records.Read Entire Article
HR intrapreneurs are emerging as key drivers of AI reskilling, thoughtful organizational restructuring and ethical integration, shaping an inclusive future where technology enhances both efficiency and employee development.
We’re expecting 2024 to be the year Apple builds generative AI features into iOS 18, and the company has announced a $250M investment to support ongoing work in this field. The Apple Singapore campus is growing from one building to three, to provide space for ‘new roles in AI and other key functions.’ Apple says that the expansion and refit will allow for greater collaboration between its growing teams in the country more
Pretty much every tech company has been investing in generative AI for the past two years, and Apple is rumored to finally bring new AI-based tools to iPhone users soon with iOS 18. However, the costs of operating such tools are quite high, and Meta has just confirmed that it will take years for the company to make money from AI. more
Apple's AI push in iOS 18 is rumored to focus on privacy with processing done directly on the iPhone, that won't connect to cloud services. Siri is expected to get a big upgrade with iOS 18 Over the past few months, we've heard a lot about Apple's endeavors in Artificial Intelligence and the features it aims to introduce later this year with iOS 18 and macOS 15. Various sources have all claimed that Apple would introduce AI-related enhancements. It looks like the initial batch of...
Apple appears to be developing its own custom AI server processor, aiming to commence mass production by the second half of 2025. The speculation originates from "Phone Chip Expert," a Weibo user known for accurately predicting Apple's moves in the mobile industry.Read Entire Article
Ahead of iOS 18’s debut at WWDC in June, Apple has released a family of open-source large language models. Called OpenELM, Apple describes these as: a family of Open-source Efficient Language Models. In its testing, Apple says that OpenELM offers similar performance to other open language models, but with less training data. more