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"You don't need to look very far to see examples of how machine- and deep-learning could
enrich our lives." says Rob Williams, HotHardware.
You might be surprised, given how often we hear about deep-learning nowadays, that most companies have only been utilizing the technology to a notable degree for the past couple of years - including Amazon. Despite that, we've seen some amazing things accomplished in a relatively short time.
With Amazon specifically, we've seen the company sell the fruits of its deep-learning labor to those who need reliable predictive services, use it to improve its product reviews sections, and of course, improve the usefulness of its Alexa AI, found in products like Amazon Echo. Today, Amazon is giving us another reason to warm up to the idea of AI and what can be done with it.
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Amazon's Echo takes advantage of the company's deep-learning prowess.
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You might be surprised, given how often we hear about deep-learning nowadays, that most companies have only been utilizing the technology to a notable degree for the past couple of years - including Amazon. Despite that, we've seen some amazing things accomplished in a relatively short time.
With Amazon specifically, we've seen the company sell the fruits of its deep-learning labor to those who need reliable predictive services, use it to improve its product reviews sections, and of course, improve the usefulness of its Alexa AI, found in products like Amazon Echo. Today, Amazon is giving us another reason to warm up to the idea of AI and what can be done with it.
In this unveil, we looking at an example similar to one from Microsoft in 2015:
age-guessing. This latest development is tied into Amazon's new
Rekognition AI service, built by Amazon's Computer Vision team. As the
name suggests, it is used to help computers recognize real-world objects
and places, as well as faces.
Amazon's Jeff Barr wrote up a great post
on how Rekognition works, and went as far as using his own photos from
decades past, to prove how well it works. With his baby photo seen
above, Rekognition was able to identify that there is a face in the
picture, with 99.7% assurance, and that the face is male, with a much
less confident 62.2%. It further determined that the boy was between 0 -
2 years of age, and that he was smiling - both spot-on results.
It's obvious that determining the sex of babies is quite difficult, and let's be honest: it's sometimes difficult for actual humans to determine, as well. But with adults, Rekognition's chance of a successful guess dramatically increases, with other sample pictures of Barr presented, increasing the confidence level to 99.7%. It might be easier to guess that a baby is between 0 - 2 years, although those ranges vary quite dramatically as a person gets older, with one particular photo placing Barr between 35 and 52 years old.
Read more...
Source: Hot Hardware
It's obvious that determining the sex of babies is quite difficult, and let's be honest: it's sometimes difficult for actual humans to determine, as well. But with adults, Rekognition's chance of a successful guess dramatically increases, with other sample pictures of Barr presented, increasing the confidence level to 99.7%. It might be easier to guess that a baby is between 0 - 2 years, although those ranges vary quite dramatically as a person gets older, with one particular photo placing Barr between 35 and 52 years old.
Read more...
Source: Hot Hardware
