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  /  Artificial Intelligence   /  AI and Deep Learning Paves the Way to Successful Complex Computations

AI and Deep Learning Paves the Way to Successful Complex Computations

After decades of experiencing a slow burn, artificial intelligence innovation has caught fire to become the hottest item on the agendas of the world’s top technology firms. Today’s flurry of AI advances wouldn’t have been possible without the confluence of three factors that combined to create the right equation for AI growth: the rise of big data combined with the emergence of powerful graphics processing units (GPUs) for complex computations and the re-emergence of a decades-old AI computation model deep learning. Experts express little doubt that deep learning will serve as a vital variable in the new AI growth equation, much as it did in the current one. “We’re seeing deep learning have a huge new impact, whether it’s in speech or vision or some problem in natural language processing. This is going to continue for some time,” says John Smith, Manager of Multimedia and Vision at IBM Research.

AI experts agree that we’re still in the early days of teaching systems to deeply reason, with a few examples of progress in narrow applications such as self-driving cars and select professions. Much work remains to reach a level of efficiency that allows for scaling reasoning capabilities across a broader swath of applications. We have now reached the stage where, after expending significant effort in labeling text, we can map a natural language sentence to a logical form in some areas. Then we can use formalized reasoning mechanisms to work with these extracted formulas. Despite its widespread lack of familiarity, AI is a technology that is transforming every walk of life. It is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision-making. Our hope through this comprehensive overview is to explain AI to an audience of policymakers, opinion leaders, and interested observers, and demonstrate how AI already is altering the world and raising important questions for society, the economy, and governance.

As AI adoption continues to accelerate, it is only natural that diverse teams are needed to help build and implement trustworthy AI that can help mitigate bias and deliver explainable outcomes. Self-driving cars, state-of-the-art robots, AI-driven traffic management, smart grid adjustments, etc., are just a few of the things one can focus on when talking about AI. It may sound like the future; despite the random news we hear about the progress made in this approach. However, it may be surprising to realize that AI is already a modern phenomenon, and we are surrounded by it in our daily lives. AI helps people to be more productive and live better life. We should enjoy that instead of viewing it as a competition.

The huge potential that AI holds can only be implemented in business if the tech leaders fully recognize it. So, it is absolutely important for modern CEOs and CTOs to be familiar with the prospects of AI and be willing enough to introduce innovation in their operations.