Machine Learning is a buzzword in the tech world right now, and for a very good reason: It exemplifies a major step forward in how the digital applications interact with humanity and helps solve our problems. In just past 5 years, the innovation in this field has been staggering. Consider the following:
Just a month ago, NASA announced the discovery of seven “earthlike” planets less than 40 light years away. How do you think they were able to make this amazing discovery considering that there are 1 billion, trillion stars in the observable galaxy?
Or how about one of the hottest application- self-driving cars, otherwise called smart cars? Smart cars have raked up millions of miles driving in full autonomous mode with minimal human intervention and a low accident rate. How do you think this was achieved?
What is Machine Learning?
Machine Learning is a fundamental paradigm used for autonomous computing, self-managing systems and decision-making under uncertainty. Simply put, unlike the traditional software which relies on a hard-coded logic, machine learning enables a software to write a software simply by looking at the treasure trove of big data. Interestingly, a report from IDC last year reported that about 50 percent of all business analytics software will incorporate some form of Machine Learning.
With large computing power and data, machine learning has helped transform several business use cases and application verticals. Some of the most popular ones are: smart cars, e-commerce, image recognition, Natural Language Processing (NLP), healthcare, financial trading and fraud detection.
In next five days, you check out our social media channels and this blog to learn more about how Mellanox Intelligent Network – both Ethernet and Infiniband – is enabling our customers to solve their problems and helps them maintain an edge over their competitors.For the past few years, Mellanox has been working closely with several leading technological innovators including Facebook, Microsoft, Baidu, Tencent and many more to help accelerate their machine learning platforms. Some of the core technologies, including RDMA, GPUDirect and predictable switch fabrics has empowered these innovators to rapidly train on the huge data they accumulate each day and upgrade the trained model for real world problems sooner.