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Category: robotics/AI – Page 1,709

The End of Programming

The end of classical Computer Science is coming, and most of us are dinosaurs waiting for the meteor to hit.

I came of age in the 1980s, programming personal computers like the Commodore VIC-20 and Apple ][e at home. Going on to study Computer Science in college and ultimately getting a PhD at Berkeley, the bulk of my professional training was rooted in what I will call “classical” CS: programming, algorithms, data structures, systems, programming languages. In Classical Computer Science, the ultimate goal is to reduce an idea to a program written by a human — source code in a language like Java or C++ or Python. Every idea in Classical CS — no matter how complex or sophisticated — from a database join algorithm to the mind-bogglingly obtuse Paxos consensus protocol — can be expressed as a human-readable, human-comprehendible program.

When I was in college in the early ’90s, we were still in the depth of the AI Winter, and AI as a field was likewise dominated by classical algorithms. My first research job at Cornell was working with Dan Huttenlocher, a leader in the field of computer vision (and now Dean of the MIT School of Computing). In Dan’s PhD-level computer vision course in 1995 or so, we never once discussed anything resembling deep learning or neural networks—it was all classical algorithms like Canny edge detection, optical flow, and Hausdorff distances. Deep learning was in its infancy, not yet considered mainstream AI, let alone mainstream CS.

IHMC’s Nadia is a Versatile Humanoid Teammate

The Florida Institute for Human & Machine Cognition (IHMC) is well known in bipedal robotics circles for teaching very complex humanoid robots to walk. Since 2015, IHMC has been home to a Boston Dynamics Atlas (the DRC version) as well as a NASA Valkyrie, and significant progress has been made on advancing these platforms toward reliable mobility and manipulation. But fundamentally, we’re talking about some very old hardware here. And there just aren’t a lot of good replacement options (available to researchers, anyway) when it comes to humanoids with human-comparable strength, speed, and flexibility.

Several years ago, IHMC decided that it was high time to build their own robot from scratch, and in 2019, we saw some very cool plastic concepts of Nadia —a humanoid designed from the ground up to perform useful tasks at human speed in human environments. After 16 (!) experimental plastic versions, Nadia is now a real robot, and it already looks pretty impressive.

Discovering novel algorithms with AlphaTensor

Algorithms have helped mathematicians perform fundamental operations for thousands of years. The ancient Egyptians created an algorithm to multiply two numbers without requiring a multiplication table, and Greek mathematician Euclid described an algorithm to compute the greatest common divisor, which is still in use today.

During the Islamic Golden Age, Persian mathematician Muhammad ibn Musa al-Khwarizmi designed new algorithms to solve linear and quadratic equations. In fact, al-Khwarizmi’s name, translated into Latin as Algoritmi, led to the term algorithm. But, despite the familiarity with algorithms today – used throughout society from classroom algebra to cutting edge scientific research – the process of discovering new algorithms is incredibly difficult, and an example of the amazing reasoning abilities of the human mind.

In our paper, published today in Nature, we introduce AlphaTensor, the first artificial intelligence (AI) system for discovering novel, efficient, and provably correct algorithms for fundamental tasks such as matrix multiplication. This sheds light on a 50-year-old open question in mathematics about finding the fastest way to multiply two matrices.

Google’s newest AI generator creates HD video from text prompts

Today, Google announced the development of Imagen Video, a text-to-video AI mode capable of producing 1280×768 videos at 24 frames per second from a written prompt. Currently, it’s in a research phase, but its appearance five months after Google Imagen points to the rapid development of video synthesis models.

According to Google’s research paper, Imagen Video includes several notable stylistic abilities, such as generating videos based on the work of famous painters (the paintings of Vincent van Gogh, for example), generating 3D rotating objects while preserving object structure, and rendering text in a variety of animation styles. Google is hopeful that general-purpose video synthesis models can “significantly decrease the difficulty of high-quality content generation.”

Robots are making French fries faster, better than humans

PASADENA, Calif. (Reuters)-Fast-food French fries and onion rings are going high-tech, thanks to a company in Southern California.

Miso Robotics Inc in Pasadena has started rolling out its Flippy 2 robot, which automates the process of deep frying potatoes, onions and other foods.

A big robotic arm like those in auto plants — directed by cameras and artificial intelligence — takes frozen French fries and other foods out of a freezer, dips them into hot oil, then deposits the ready-to-serve product into a tray.

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