Apparently, science fiction films depicting post-apocalyptic scenarios in which an artificial intelligent entity reigns supreme hasn’t deterred Microsoft from investing in machine learning.
Future Microsoft certification prospects will likely learn how to administer and manage software capable of self-education. Observing objects and instances and then forming mathematically-induced conclusions is an amazing feat, but it’s important for enterprises using such technology to employ personnel who are well versed in AI programs.
Replicating a neural network How is machine learning made possible? Researchers have dissected the various logical and physical components of the human brain, observing how it rapidly transfers and processes information. Although biology is easy to take for granted, many computer scientists have marveled at just how difficult it is to replicate such a complex network of neurons.
Yet, Microsoft seems to be getting close to achieving such a feat. Sue Gee, a contributor to i-Programmer, noted that Microsoft Research recently engineered software that can perceive images in a manner quite similar to the way humans do. Code named “Project Adam,” the initiative is a response to the Google Brain. Gee acknowledged Microsoft’s assertion that Project Adam is 50 times better than its counterparts.
Initial concerns Although the implementation is amazing. Three questions need to be answered:
- How will enterprises use the technology?
- Will it be economically feasible for businesses to use the deployment?
- Are organizations going to have to procure specialized, expensive hardware in order for the software to run properly?
Gee noted a statement by Trishul Chilimbi, one of the scientists assigned to making Project Adam a reality. Apparently, Microsoft has given a lot of thought to the aforementioned issues, as it doesn’t make sense for them to create an unwieldy product, financially. What’s the use of making it if the average company can’t use it?
“We wanted to build a highly efficient, highly scalable distributed system from commodity PCs that has world-class training speed, scalability and task accuracy for an important large-scale task,” said Chilimbi, as quoted by Gee. “Our system is general-purpose and supports training a wide variety of deep-neural-network architectures. It also can be used to train large-scale DNNs for tasks such as speech recognition and text processing.”
How can it be used? According to Wired, Project Adam is capable of using 30 times fewer machines than competing software, which makes the implementation arguably the most cost-effective option as of now. How will professionals use the technology? Those enrolled in future Microsoft certification courses may learn how to set instructions for Adam to complete.
For example, an administrator working for the Baltimore Police Department could order the software to process security camera footage in real time. Whenever a drug deal is about to occur, Adam will be able to recognize the situation and notify the appropriate authorities. This method can result in a significant reduction in labor expenses, as officers won’t have to conduct lengthy surveillance operations.
Once Adam is available for mainstream consumption, the criteria of Microsoft training courses will consist of advanced technology organizations have struggled to use for so long.