The field of Data Science and Machine Learning is growing every single day. As new models and algorithms are being proposed with time, these new algorithms and models need enormous data for training and testing. Deep Learning models are gaining so much popularity nowadays, and those models are also data-hungry. Obtaining such a massive amount of data in the context of the different problem statements is quite a hideous, time-consuming, and expensive process. The data is gathered from real-life scenarios, which raises security liabilities and privacy concerns. Most of the data is private and protected by privacy laws and regulations, which hinders the sharing and movement of data between organizations or sometimes between different departments of a single organization--resulting in delaying experiments and testing of products.

The Brazilian government has published a National Innovation Policy (NIP) setting out plans to encourage and develop innovative products, processes and services across the country. The areas include improving skills; widening the innovation talent pool; encouraging international engagement; and stimulating research, development and innovation within the Brazilian private sector. The government says the NIP will promote the coordination and distribution of public funds towards the advancement of innovation. An Innovation Committee, managed by the Ministry of Science, Technology and Innovations (MCTI) and chaired by the presidential office, will oversee the wide-ranging project. It is due to publish a detailed National Innovation Strategy in the near future, the technology website reported.

Brendan Frey's passion for genomics -- the science of analyzing and interpreting our DNA -- was ignited in 2002. When a family member was diagnosed with a genetic disorder, there wasn't enough information for doctors to evaluate the full scope of the problem, let alone fix it. "I thought we should live in a better world," Frey says. "One in which we can accurately detect and treat genetic diseases." A decade ago, the odds of that happening anytime in the foreseeable future were decidedly small.