apple

Awesome Outlook of what the upcoming iPhone 8 might do to mobile computing & smartphone use cases: iPhone AR Selfie Revolution (Mike Rundle)

This is a must-read speculation article giving an outlook of what some of the rumored cutting-edge new tech ingredients like

dedicated infrared light sensors
improved front-facing camera with higher fidelity & frame-rate
faster and more secure unlocking and payment authorization tech like facial recognition & tracking
new image processing functionality able to track and deciper eye movements and alterness

could mean for the future of mobile computing and smartphone based everyday use cases.

“These aren’t just the ingredients for a new way to unlock your phone, these are the foundational elements for some truly futuristic technology that no one else is building.”

My personal highlight:

“A revolution in mobile advertising where apps and advertisers will know if you actually looked at a banner or not. This data would be more valuable than any metric advertisers currently receive, but could have pretty evil consequences…”

September 8, 2017 0

This is a super insightful read on a very tangible example of where and how the enhancement of the human body already works today. In fact, hearing-impaired humans are the first beneficiaries or powerful use cases for audio transmission from electronic devices right into peoples’ brains. Think listening to music, audiobooks and no one even notices you have a technical devices plugged into you. Think amplifying voices from a conversation while muting surrounding sound. Many powerful use cases imaginable! As in many “bionic” or “human enhancement tech” scenarios, such tech is developed to help handicapped people and then finds its way into helping everyone. I wonder when we will see first non-handicapped humans tinker with tech like this in order to benefit from such advancements.

Here’s a glimpse; read more on WIRED:

“My conversation with Mathias Bahnmueller started as pretty much all my phone interviews do. “Can you hear me?” he asked, and I replied affirmatively. Then I asked him the same question. His answer was yes—he could hear me very clearly. And this was a tiny miracle.

That’s because Bahnmueller suffers from hearing loss so severe that a year ago he underwent surgery to install a cochlear implant—an electronic device in the inner ear that replaces the usual hearing mechanism…”

via How Apple Is Putting Voices in Users’ Heads—Literally | WIRED

Great Read on the State of the Semiconductor Industry: How the SoC is Displacing the CPU (Pushkar Ranade)

The silicon transistor continues to be at the heart of post-PC era products like the smartphone, the tablet and the smartwatch. However, the success metrics for the transistor are quite different now than they have been in the past.Frequency (clock-speed) was the primary metric in the PC era and the standalone central processing unit (CPU) was the primary chip that drove advancements in semiconductor technology for decades. Form-factor was hardly an influencer and there wasn’t as much of a drive to integrate system-level functionality either on-chip (SoC) or in-package (SiP)…

Source: How the SoC is Displacing the CPU – Medium

November 21, 2016 0

An Exclusive Look at How AI and Machine Learning Work at Apple (Steven Levy)

The iBrain is here — and it’s already inside your phone…

On July 30, 2014, Siri had a brain transplant. Three years earlier, Apple had been the first major tech company to integrate a smart assistant into its operating system. Siri was the company’s adaptation of a standalone app it had purchased, along with the team that created it, in 2010. Initial reviews were ecstatic, but over the next few months and years, users became impatient with its shortcomings. All too often, it erroneously interpreted commands. Tweaks wouldn’t fix it…

Source: An Exclusive Look at How AI and Machine Learning Work at Apple – Backchannel

August 30, 2016 0

Apple in serious trouble? If Google’s right about AI, that’s a problem for Apple (Marco.org)

If the landscape shifts to prioritize those big-data AI services, Apple will find itself in a similar position as BlackBerry did almost a decade ago: what they’re able to do, despite being very good at it, won’t be enough anymore, and they won’t be able to catch up…

Source: If Google’s right about AI, that’s a problem for Apple – Marco.org

May 24, 2016 0

Great Overview on the M&A Race for AI: Google, Facebook, Amazon, Apple Grab and the Artificial Intelligence Startups they have grabbed

Over 60% of the AI companies acquired in the last 3 years had VC backing. There have been 4 major acquisitions already in 2016.

More than 20 private companies working to advance artificial intelligence technologies have been acquired in the last 3 years by corporate giants competing in the space, including Google, Amazon, Apple, IBM, Yahoo, Facebook, Intel, and, more recently, Salesforce. There have been 4 major acquisitions already in 2016…

Source: Race For AI: Google, Facebook, Amazon, Apple Grab Artificial Intelligence Startups

April 13, 2016 0

This is a Must-Watch: Scott Galloway from NYU Stern School in a crazy high-speed DLD2016 Presentation on the Gang of Four: Apple / Amazon / Facebook / Google

Scott Galloway, who is a professor of Marketing and Brand Strategy at the NYU Stern School of Business, will discuss “The Gang of Four” (Google, Facebook, Apple, and Amazon), their victims, and the strategies that led them onto a path to a trillion dollar market cap…