larryjw

Seems problematic given where IoT is going. Seems Apple needs Hub products for HomeKit and IoT. HomePod is not the product. Apple TV is not that product. MacMini? 

Router products seem just the thing. 

Apple had better be bringing something to market otherwise they're not going to have a market. 

The problem with the educational market for computers is k12 doesn’t know what to do with computers in the classroom. 

That is, there really is NO K12 educational market to sell into. Computers are not fundamental to the goals of a K12 education. Computers are how many get their information, such as school notices, social media, gaming, but the schools are not driving the use of computers — they are reacting to the ubiquity of the Internet and smart devices like the iPhone and iPad. 

Schools need to to be sensitive to the haves and havenots, which might drive them to standardize on some computing devices. On the other hand, there is really no good reason to standardize on any device. Most any device will be adequate. The drive to standardize is administrative only — locking down devices, managing content, managing access — as usual for most organizations, spending resources on overhead not education. 

The promise of intelligent textbooks have not arrived. The promise of technology driving teaching away from the passive lecture to more active approaches has not arrived. This will take another generation if at all, and then, technology will only play a minor role. 

Apple educational initiatives will never sell into the schools. The market for their devices will be made by the public who believe these devices have educational benefits for themselves and their kids, not by the schools. 

I’m not likely understanding some of this story. One key statement is there is no firmware fix. Looking on Intels site, they have a table listing each cpu, and the minimum ME firmware version that resolves the issue, or at least one of the issues. 

Like one of the other commenters, I too, in December, purchased a new mbp but also an new iMac. The About My MAC doesn’t describe the cpu level of detail about its firmware versions to know whether my chips have the latest firmware versions. It’s goimg to be Apple’s resonsibilty to push out the firmware updates. 

A second thing to note. Intel has downloadable software to analyze your system for these flaws, but the software only runs under windows or Linux. Intel needs to push out a version for macOS. 

What happens if you set Safari's User Agent (in the Develop menu) to one of the compatible browsers?

mattbookair said:

mobius said:

Sorry to be dumb, but why is it not far quicker and simpler to manually label the real images, rather than jump through all those hoops to refine a synthetic image with a real image in order to include its label/annotation? Is it to due to the vast number of images in the data set?

Yes, performance of such learning algorithms improves (drastically) with the amount of training data. Human annotation is costly and less reliable (but can be done for real images). So combining the two is the obvious way to go. This approach is pretty standard in ML for language understanding.

I think a key piece in this paper is that real images have too much noise to be the source for training. Synthetic images allow for control of the images themselves and therefore have control of the features of the neuro-network which are being developed. And synthetic images prevent the neuro-network from learning stuff that ain't true, and then having to be further trained to forget the ain't-true stuff, which would be the result of being trained on real images.

In the real world of teaching and learning, good teaching means scaffolding the lessons so the foundations are built before a real problem is thrown at the students. The Siri group seems to be modeling teaching of neuro-networks on brain research and good teaching methods. 

BTW, my reading suggests that Siri is no longer just the voice recognition application that Apple delivers, but has evolved into the name of their AI group.  Also note that the training paper is about image recognition with the focus on eye recognition, and hand recognition. The eye recognition is asking the system where the eye focus is, and the hand recognition is asking the system to recognize hand gestures. You can guess where all this AI is leading.