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Artificial intelligence

The future of mobile AI

New approaches to on-device and cloud-based AI technologies are transforming everyday experiences.

October 7, 2020

Content sponsored byQualcomm Technologies

Artificial intelligence (AI) continues to expand to power everything from security and facial recognition software to autonomous vehicles and mobile apps.

In “Women leading the future of mobile AI,” a video series sponsored by Qualcomm Technologies, MIT Technology Review CEO Elizabeth Bramson-Boudreau explores the latest AI advances on software tools, mobile platforms, and algorithmic advancements with five women experts, all determined to make AI performance and power efficiency a reality.

Also in this content collection, get help untangling some of AI’s newest, and knottiest, concepts. For example, distributed intelligence—that is, AI spread across channels to power applications such as real-time language translation. Learn about ways to develop innovative applications that overhaul the manufacturing and retail landscape—and get the latest research and insights on machine learning, smart cameras, and edge computing.

View the content hub.

This content was paid for by an advertiser. It was not produced by MIT Technology Review’s editorial staff.

Deep Dive

Artificial intelligence

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

What’s next for generative video

OpenAI's Sora has raised the bar for AI moviemaking. Here are four things to bear in mind as we wrap our heads around what's coming.

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