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There’s a lot going on when it comes to Apple’s rumored mixed reality headset, which is expected to combine both AR and VR technologies into a single device. However, at the same time, the company has also been working on new AR glasses. According to Haitong Intl Tech Research analyst Jeff Pu, Apple’s AR glasses will be announced in late 2024.

In a note seen by 9to5Mac, Pu mentions that Luxshare will remain as one of Apple’s main suppliers for devices to come between late 2022 and 2024. Among all devices, the analyst highlights products such as Apple Watch Series 8, iPhone 14, and Apple’s AR/VR headset. But more than that, Pu believes that Apple plans to introduce new AR glasses in the second half of 2024.

At this point, details about Apple’s AR glasses are unknown. What we do know so far is that, unlike Apple’s AR/VR headset, the new AR glasses will be highly dependent on the iPhone due to design limitations. Analyst Ming-Chi Kuo said in 2019 that the rumored “Apple Glasses” will act more like a display for the iPhone, similar to the first generation Apple Watch.

An international team of researchers from the Max Born Institute in Berlin, University College London and ELI-ALPS in Szeged, Hungary, has demonstrated attosecond-pump attosecond-probe spectroscopy to study non-linear multi-photon ionization of atoms. The obtained results provide insights into one of the most fundamental processes in non-linear optics.

The detailed experimental and theoretical results have been published in Optica (“Attosecond investigation of extreme-ultraviolet multi-photon multi-electron ionization”).

Fig. 1: Two intense attosecond pulse trains (white) interact with an atom, resulting in the emission of three electrons (yellow). During this process four photons (blue) are absorbed. The probability of this process can be controlled by varying the temporal and the spatial overlap between the two attosecond pulses. (Image: Balázs Major)

There may be some very compelling tools and platforms that promise fair and balanced AI, but tools and platforms alone won’t deliver ethical AI solutions, says Reid Blackman, who provides avenues to overcome thorny AI ethics issues in his upcoming book, Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent and Respectful AI (Harvard Business Review Press). He provides ethics advice to developers working with AI because, in his own words, “tools are efficiently and effectively wielded when their users are equipped with the requisite knowledge, concepts, and training.” To that end, Blackman provides some of the insights development and IT teams need to have to deliver ethical AI.

Don’t worry about dredging up your Philosophy 101 class notes

Considering prevailing ethical and moral theories and applying them to AI work “is a terrible way to build ethically sound AI,” Blackman says. Instead, work collaboratively with teams on practical approaches. “What matters for the case at hand is what [your team members] think is an ethical risk that needs to be mitigated and then you can get to work collaboratively identifying and executing on risk-mitigation strategies.”

There has been a massive tidal wave of tech innovation over the last couple of years. Some apps and platforms offer basic services for the home or office. Others ignite your imagination.

Gil Perry, CEO and cofounder of D-ID, an Israeli-based tech company, has created something amazingly beautiful and touching. Leveraging artificial intelligence and sophisticated technology, the company has created a unique, animated, live portrait, which animates the photos of long-lost relatives or whoever you’d like to see, as if they are in the room with you. Its tech makes people come alive and look realistic and natural.

The feature, Deep Nostalgia, lets users upload a photo of a person or group of people to see individual faces animated by AI. People have been able to breathe life into their old black-and-white photos of grandma and grandpa that have been stored in boxes up in the attic.