Expert Predictions for AI and ML in 2021

Advances in artificial intelligence (AI) go beyond algorithms—they also include associated methods to aggregate and parse new sources of data and use it to develop new applications in an expanding range of industries. Techopedia spoke to EPAM futurist, David Rose to learn about the breakthroughs expected in each of these aspects of AI in 2021.

Generative AI

Spatial computing, the merger of the digital and our physical work and living spaces, and their representation in XReality made interactive with sensors, will have a breakout year in 2021 with the launch of Apple's iPhone 12 Pro according to David Rose, Futurist at EPAM Continuum, MIT lecturer, entrepreneur, and author of Enchanted Objects: Design, Human Desire, and the Internet of Things.

Spatialized Location and Mapping use stereo cameras or a LIDAR (Light Detection and Ranging) sensor to read geometry and superimpose content to create a blended world," Rose explained.

Apple's iPhone Pro 12 has three tiny cameras that capture depth by measuring the time it takes for structured light to bounce back. That lends a three-dimensional view with granular detail, including underwater rocks in a landscape picture of lakes.

Generative AI and its twin—discriminators—are the tools making 3D imagery. Both are variants of deep learning—one of them generates landscapes, and the other is programmed to be a judge about the fidelity of the images.

Taking an example from an engagement with a landscape design company, David Rose told us:

"Generative AI automatically selects and positions 3D trees, bushes and landscape elements over existing Google Street views. Then another neural network, called the discriminator, makes judgments on these proposed designs. The generative AI iterates again until we have a high-scoring solution."

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