SAPPHIRE 2016: About machine learning and moving to the next level of computing


In this context, business application journey has not finished yet. Over this subject, SAP believes on the use of machine learning technology supporting business processes to achieve truly "work liberation". The idea is to have the machine learning from input data and provide a decision on the expected decision to make based on what is happening. SAP has expressed the commitment for supporting customers journey to obtain the best assets for real insight through the pillars of innovation and empathy.

After Moore's Law: Predicting The Future Beyond Silicon Chips


And for decades, the principle guiding much of the innovation in computing has been Moore's law -- a prediction, made by Intel co-founder Gordon Moore, that the number of transistors on a microprocessor chip would double every two years or so. And we can use (it) for problems that today are every expensive to execute on modern computers -- things like image recognition or voice recognition, things that today take an amazing amount of compute power to do well. "Roadmapping" Moore's law has really driven the industry in terms of making faster and smaller transistors. These domains are, for example, weather prediction, or what we call big data analytics, which is what Google does, or machine learning for recognition of voice or images, ... a lot of high-performance computing simulations, such as thermal process evolution simulations.