Not exact matches
Cortica's automotive AI technology focuses on unsupervised
machine learning which, the company says, allows the intelligence
system to understand a vehicle's environment and independently identify objects
while on the road.
From an ethical perspective, the overarching worry is that if one gives a
machine the ability to
learn while deployed, a
system that allows that computer architecture to perpetually generate and check its own code, making it virtually unhackable, then one has created a very dangerous
machine indeed.
To push the field further, cell biologists have begun borrowing
machine -
learning and data - mining tools from computer science,
while engineers are designing imaging and microscopy
systems that enable entirely novel analyses.
Computing experts at Sandia National Laboratories have launched an effort to help discover what computers of the future might look like, from next - generation supercomputers to
systems that
learn on their own — new
machines that do more
while using less energy.
While AI is in effect «language agnostic», i.e. a
machine learning system can be taught to look for patterns in any kind of text, those training it naturally have to be proficient and know what they are looking for.
While on one level this may seem a big ask of a
machine learning system, the three co-founders are well experienced.
Machine learning — a
system that can continually take data points, process them, perform a task and then repeat that cycle with new data points
while improving upon the results
While working at Linklaters, helping lawyers with many issues related to the complexity of the market, Liu decided that creating an AI
system that could exploit natural language processing (NLP) and
machine learning would be a great solution to the problems of Linklaters» clients.
Each of the panels introduced the audience to the concept of «AI» noting that
while there's no agreed upon formal definition, it generally refers to
machines and
systems that can
learn to act as humans.
While older «rule - based»
systems could only respond to specific commands, the
machine learning models don't face these limitations.
The Visual Core is Google's first
system - on - chip designed in - house, and the company says it produces HDR + images five times faster than previous methods
while using just one - tenth of the energy, thanks to the wonders of
machine learning.
On the iPhone X, Apple has implemented it in two distinct ways: On the front of the iPhone X, the TrueDepth's various IR and dot sensors help measure depth,
while the dual - lens rear camera
system estimates depth by using the two lenses and
machine learning.
While other companies are going with the dual camera
system to capture better images, Google showed their faith in
Machine learning.
There is a 4 - in - 1 Hybrid Focus
system comprising laser, depth, contrast and phase detection and autofocus is said to be fast,
while scene detection is enhanced by
machine learning.