Menu

Blog

Archive for the ‘internet’ category: Page 18

May 19, 2024

OpenAI will use Reddit posts to train ChatGPT under new deal

Posted by in categories: business, internet, law, policy, robotics/AI

Earlier this month, Reddit published a Public Content Policy stating: Unfortunately, we see more and more commercial entities using unauthorized access or misusing authorized access to collect public data in bulk, including Reddit public content. Worse, these entities perceive they have no limitation on their usage of that data, and they do so with no regard for user rights or privacy, ignoring reasonable legal, safety, and user removal requests.

In its blog post on Thursday, Reddit said that deals like OpenAI’s are part of an open Internet. It added that part of being open means Reddit content needs to be accessible to those fostering human learning and researching ways to build community, belonging, and empowerment online.

Reddit has been vocal about its interest in pursuing data licensing deals as a core part of its business. Its building of AI partnerships sparks discourse around the use of user-generated content to fuel AI models without users being compensated and some potentially not considering that their social media posts would be used this way. OpenAI and Stack Overflow faced pushback earlier this month when integrating Stack Overflow content with ChatGPT. Some of Stack Overflow’s user community responded by sabotaging their own posts.

May 18, 2024

‘Quantum internet’ demonstration in cities is most advanced yet

Posted by in categories: internet, quantum physics

Experiments generate quantum entanglement over optical fibres across three real cities, marking progress towards networks that could have revolutionary applications.

May 18, 2024

Scientists Bent Light to Curve 6G Beams, and It Might Make the Internet Unstoppable

Posted by in category: internet

The quest for perfect connectivity has taken a giant leap forward.

May 17, 2024

Artificial Intelligence Will Defeat CAPTCHA — How Will We Prove We’re Human Then?

Posted by in categories: information science, internet, mathematics, robotics/AI

If you use the web for more than just browsing (that’s pretty much everyone), chances are you’ve had your fair share of “CAPTCHA rage,” the frustration stemming from trying to discern a marginally legible string of letters aimed at verifying that you are a human. CAPTCHA, which stands for “Completely Automated Public Turing test to tell Computers and Humans Apart,” was introduced to the Internet a decade ago and has seen widespread adoption in various forms — whether using letters, sounds, math equations, or images — even as complaints about their use continue.

A large-scale Stanford study a few years ago concluded that “CAPTCHAs are often difficult for humans.” It has also been reported that around 1 in 5 visitors will leave a website rather than complete a CAPTCHA.

Continue reading “Artificial Intelligence Will Defeat CAPTCHA — How Will We Prove We’re Human Then?” »

May 17, 2024

This Week’s Awesome Tech Stories From Around the Web (Through May 11)

Posted by in categories: internet, robotics/AI

From a new AI challenger to Google search to an nearly indestructible robot hand, check out this week’s awesome tech stories from around the web.

May 17, 2024

Scientists Step Toward Quantum Internet With Experiment Under the Streets of Boston

Posted by in categories: computing, finance, internet, quantum physics, security

A quantum internet would essentially be unhackable. In the future, sensitive information—financial or national security data, for instance, as opposed to memes and cat pictures—would travel through such a network in parallel to a more traditional internet.

Of course, building and scaling systems for quantum communications is no easy task. Scientists have been steadily chipping away at the problem for years. A Harvard team recently took another noteworthy step in the right direction. In a paper published this week in Nature, the team says they’ve sent entangled photons between two quantum memory nodes 22 miles (35 kilometers) apart on existing fiber optic infrastructure under the busy streets of Boston.

“Showing that quantum network nodes can be entangled in the real-world environment of a very busy urban area is an important step toward practical networking between quantum computers,” Mikhail Lukin, who led the project and is a physics professor at Harvard, said in a press release.

May 15, 2024

Quantum internet draws near thanks to entangled memory breakthroughs

Posted by in categories: internet, quantum physics

Researchers aiming to create a secure quantum version of the internet need a device called a quantum repeater, which doesn’t yet exist — but now two teams say they are well on the way to building one.

By Alex Wilkins

May 15, 2024

A thousand times smaller than a grain of sand—glass sensors 3D-printed on optical fiber

Posted by in categories: innovation, internet

In a first for communications, researchers in Sweden 3D printed silica glass micro-optics on the tips of optic fibers—surfaces as small as the cross section of a human hair. The advance could enable faster internet and improved connectivity, as well as innovations like smaller sensors and imaging systems.

May 15, 2024

Physicists demonstrate first metro-area quantum computer network in Boston

Posted by in categories: computing, internet, quantum physics

It’s one thing to dream up a quantum internet that could send hacker-proof information around the world via photons superimposed in different quantum states. It’s quite another to physically show it’s possible.

May 14, 2024

Optimizing Machine Learning Controllers with Digital Twins

Posted by in categories: information science, internet, mapping, robotics/AI

“Big machine learning models have to consume lots of power to crunch data and come out with the right parameters, whereas our model and training is so extremely simple that you could have systems learning on the fly,” said Robert Kent.


How can machine learning be improved to provide better efficiency in the future? This is what a recent study published in Nature Communications hopes to address as a team of researchers from The Ohio State University investigated the potential for controlling future machine learning products by creating digital twins (copies) that can be used to improve machine learning-based controllers that are currently being used in self-driving cars. However, these controllers require large amounts of computing power and are often challenging to use. This study holds the potential to help researchers better understand how future machine learning algorithms can exhibit better control and efficiency, thus improving their products.

“The problem with most machine learning-based controllers is that they use a lot of energy or power, and they take a long time to evaluate,” said Robert Kent, who is a graduate student in the Department of Physics at The Ohio State University and lead author of the study. “Developing traditional controllers for them has also been difficult because chaotic systems are extremely sensitive to small changes.”

Continue reading “Optimizing Machine Learning Controllers with Digital Twins” »

Page 18 of 322First1516171819202122Last