Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 2,307

Deep learning has transformed the field of artificial intelligence, but the limitations of conventional computer hardware are already hindering progress. Researchers at MIT think their new “nanophotonic” processor could be the answer by carrying out deep learning at the speed of light.

In the 1980s, scientists and engineers hailed optical computing as the next great revolution in information technology, but it turned out that bulky components like fiber optic cables and lenses didn’t make for particularly robust or compact computers.

In particular, they found it extremely challenging to make scalable optical logic gates, and therefore impractical to make general optical computers, according to MIT physics post-doc Yichen Shen. One thing light is good at, though, is multiplying matrices—arrays of numbers arranged in columns and rows. You can actually mathematically explain the way a lens acts on a beam of light in terms of matrix multiplications.

Read more

(Phys.org)—Researchers have built the first robot made of soft, deployable materials that is capable of moving itself without the use of motors or any additional mechanical components. The robot “walks” when an electric current is applied to shape-memory alloy wires embedded in its frame: the current heats the wires, causing the robot’s flexible segments to contract and bend. Sequentially controlling the current to various segments in different ways results in different walking gaits.

The researchers expect that the ’s ability to be easily deployed, along with its low mass, low cost, load-bearing ability, compact size, and ability to be reconfigured into different forms may make it useful for applications such as space missions, seabed exploration, and household objects.

The scientists, Wei Wang et al., at Seoul National University and Sungkyunkwan University, have published a paper on the new robot and other types of deployable structures that can be built using the same method in a recent issue of Materials Horizons.

Read more

Shimon—a four-armed marimba playing robot—has been around for years, but its developers at Georgia Tech have recently taken this futuristic musical machine to the next level. Using deep learning, the robot can now study large datasets from well-known musicians, and then produce and perform its own original compositions.

Shimon was originally developed by Gil Weinberg, director of Georgia Tech’s Center for Music Technology. Under its original programming, the robot was capable of improvising music as it played alongside human performers, using an “interestingness” algorithm to make sure it wasn’t just copying its bandmates. But now, thanks to the efforts of Ph.D. student Mason Bretan, Shimon has become an accomplished composer, capable of autonomously generating the melodic and harmonic structure of a song. And you know what? Shimon’s songs are actually quite good!

Read more

The two academic authors from Massachusetts Institute of Technology, who became the pin-up boys of the Davos crowd for their previous book on The Second Machine Age (2014), do a neat job of scanning the technological horizon and highlighting significant landmarks. This is a clear and crisply written account of machine intelligence, big data and the sharing economy. But McAfee and Brynjolfsson also wisely acknowledge the limitations of their futurology and avoid over-simplification. No one can really have much idea how the business world is going to evolve or predict the precise interplay between all these fast-changing forces.

A new book by the authors of ‘The Second Machine Age’ suggests that digital disruption is coming to the corner office.

Read more

Just a quick heads up, high school students. You might want to save your job application efforts for retail gigs, because the fast food space is about to be invaded by robots.

We already showed you an autonomous grillmaster that can monitor and flip an entire grill full of patties. Today’s bot is even more versatile. Not only can it cook the patty, but it can also dice up fresh toppings like tomatoes, pickles, and onions… and it can even deftly stack everything on a toasted bun.

This autonomous marvel was designed and built by Momentum Machines, who just wrapped up a successful funding round to the tune of $18 million. It’s pretty clear why they attracted so much cash.

Read more