Artificial Intelligence
While the term Artificial Intelligence has been is use for several decades in Computer science, it has acquired new importance in applied software development only in recent years. While the theory of artificial intelligence and several of its algorithms have been prevalent, the technology to implement these were still not available apart from super computing infrastructure available to select research, defence and few corporate establishments.
Its only recently that Deep Learning based computation intensive algorithms is being run of computational infrastructure that is affordable to software development teams. This has been made easier by Cloud service providers as Amazon AWS, Google Cloud and Microsoft Azure that have included GPU based computation optimised Virtual machines available for individuals and software development teams.
Intel has been a driving force behind some of the most major technological breakthroughs in the last 50 years, prepping its partners, customers, and enterprise users for the digital age. Intel is in charge of introducing end-to-end solutions that create enormous economic value in artificial intelligence (AI) & machine learning (DL). But there’s one other…
This toolkit empowers AI developers, data scientists, and researchers and helps them to accelerate analytics pipelines and data sciences using Intel architecture. The components in use are manufactured using libraries of one API. This helps in the optimization of low-level computation. The toolkit helps in the maximization of the performance. It does so by pre-processing…
Suppose you are of the opinion that artificial intelligence is super special and only used by scientists for niche areas of specialization. AI is becoming ubiquitous and indispensable in all business areas and its functions. The new reality of AI is that it is slowly becoming part and parcel of the life of a wide…
The Fast and Powerful Cloud for Visualization and Accelerated Computing NVIDIA with Google Cloud is working together to help businesses address data difficulties more quickly without spending a lot of money or managing many infrastructures. NVIDIA GPUs can speed up machine learning, analytics, scientific simulation, and other HPC tasks, and NVIDIA® Quadro® Virtualization Workstations could…
The availability of NVIDIA GPU with an accelerated processor based on ARM mobile to Amazon web services helped create an environment for the development of games for android, which was the most optimal. It also helps bring a richer gaming experience to a variety of android devices irrespective of their location. This collaboration comes with…
We are now living in an age dominated by cloud computing. You can easily find everything available with a click on a button on the cloud, be it the data or the processing of the data. Various platforms are readily available for the devices of IoT if your organization is looking for more powerful options…
Deployment of workloads of AI for cases of use of next-generation is done in an optimized environment with the help of Intel. Intel and its partners the benefits of AI to its data centers and cloud system to empower organizations to achieve more than ever before. Artificial intelligence and machine learning offer extraordinary possibilities, which…
