Apple seems to have firmly committed to the competitive field of artificial intelligence (AI) with its recent announcements at the WWDC event. The company used AI for many features in its upcoming software and hardware, including its new iOS 17. This software will be able to suggest recipes for similar dishes by using computer vision, and its upgraded autocorrect, powered by an AI model, will more accurately predict users’ frequently-used words. Apple’s Vision Pro augmented reality headset will also use AI, enabling it to create a virtual avatar of the wearer, interpolating a full range of facial contortions. Although this isn’t generative AI, Apple has made significant inroads in the AI industry, despite underperforming in the past.
In addition to Apple’s AI push, researchers from six national labs authored a report on how AI might affect science and research over the next few years. It discusses using natural language processing as one of several factors to identify linguistic patterns that predict escalation of stops during police interactions, as well as advancements in software that track blood hemoglobin and other metrics using a smartphone camera. Purdue University developed the software that approximates hyperspectral imagery with a smartphone camera. This software obtains a lot of information about each pixel in the image and gives a model sufficient data to extrapolate from.
Researchers from Los Alamos are working hard to advance memristors, which combine data storage and processing — much like our own neurons do. The technique is a fundamentally different approach to computation and makes for an interesting discovery. The technology behind it, however, has yet to bear fruit outside the lab.
MIT is inching autonomous technology closer to aviating itself safely. Based on recent research, the tool offers AI the capability to avoid crashing into obstacles while maintaining not only stability but flight path direction. Although the concept is simple, it is a challenge to maintain a stable balance of alterations whilst simultaneously avoiding colliding with items in the chosen correction path. On the other hand, Disney Research has developed a powerful and flexible “facial landmark detection network” that can track facial movements continuously, using more arbitrary reference points. This development is significant, making motion capture highly customisable for filmmakers, as it can enhance the quality of facial expressions.
Frequently Asked Questions (FAQs) Related to the Above News
What did Apple announce at the WWDC event related to AI?
Apple announced the use of AI for many features in its upcoming software and hardware, including computer vision to suggest recipes for similar dishes and an upgraded autocorrect feature powered by an AI model.
What is the Vision Pro augmented reality headset from Apple using AI for?
The Vision Pro augmented reality headset from Apple will use AI to create a virtual avatar of the wearer, interpolating a full range of facial contortions.
What did researchers from six national labs publish a report on regarding AI in science and research?
Researchers from six national labs published a report discussing how AI might affect science and research over the next few years, including using natural language processing to identify linguistic patterns that predict escalation of stops during police interactions and advancements in software that track blood hemoglobin and other metrics using a smartphone camera.
What is hyperspectral imagery, and how is it being approximated using a smartphone camera?
Hyperspectral imagery obtains a lot of information about each pixel in an image, and Purdue University developed software that approximates it with a smartphone camera, providing a model with sufficient data to extrapolate from.
What is a memristor, and what are researchers from Los Alamos trying to do with it?
A memristor combines data storage and processing, much like our own neurons do, and researchers from Los Alamos are working to advance it. The technology behind memristors has yet to bear fruit outside the lab.
What has MIT been working on related to autonomous technology?
MIT has been working on giving AI the capability to avoid crashing into obstacles while maintaining stability and flight path direction.
What development has Disney Research made in facial landmark detection?
Disney Research has developed a powerful and flexible “facial landmark detection network” that can track facial movements continuously using more arbitrary reference points, making motion capture highly customizable for filmmakers and enhancing the quality of facial expressions.
Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.
