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The Humane AI Pin is designed to replace your smartphone, allowing the user to make calls, send texts and look up information through voice controls. It also has a laser display, turning your palm into a mini screen that can show the time, date or what’s nearby.

“There are no wake words so it’s not always listening or always recording,” Chaudhri said at the beginning of a 10-minute launch video on the company’s website. “In fact, it doesn’t do anything until you engage with it, and your engagement comes through your voice, touch, gesture or the laser ink display.”

In addition to the upfront cost of the device, customers will have to pay a $24 monthly data subscription to T-Mobile, the company said. Having a separate phone number means that, unlike smart watches, the pin isn’t tethered to a smartphone.

We present Neural Signal Operated Intelligent Robots (NOIR), a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals. Through this interface, humans communicate their intended objects of interest and actions to the robots using electroencephalography (EEG). Our novel system demonstrates success in an expansive array of 20 challenging, everyday household activities, including cooking, cleaning, personal care, and entertainment. The effectiveness of the system is improved by its synergistic integration of robot learning algorithms, allowing for NOIR to adapt to individual users and predict their intentions. Our work enhances the way humans interact with robots, replacing traditional channels of interaction with direct, neural communication.

OpenAI has confirmed that a distributed denial-of-service (DDoS) attack is behind “periodic outages” affecting ChatGPT and its developer tools.

ChatGPT, OpenAI’s AI-powered chatbot, has been experiencing sporadic outages for the past 24 hours. Users who attempted to access the service have been greeted with a message stating that “ChatGPT is at capacity right now,” and others, including TechCrunch, have been unable to log into the service.

OpenAI CEO Sam Altman initially blamed the issue on interest in the platform’s new features, unveiled at the company’s first developer conference on Monday, “far outpacing our expectations.” OpenAI said the issue was fixed at approximately 1 p.m. PST on November 8.

The technology that makes it possible, called semantic hearing, could pave the way for smarter hearing aids and earphones, allowing the wearer to filter out some sounds while boosting others.

The system, which is still in prototype, works by connecting off-the-shelf noise-canceling headphones to a smartphone app. The microphones embedded in these headphones, which are used to cancel out noise, are repurposed to also detect the sounds in the world around the wearer. These sounds are then played back to a neural network, which is running on the smartphone; then certain sounds are boosted or suppressed in real time, depending on the user’s preferences. It was developed by researchers from the University of Washington, who presented the research at the ACM Symposium on User Interface Software and Technology (UIST) last week.

The team trained the network on thousands of audio samples from online data sets and sounds collected from various noisy environments. Then they taught it to recognize 20 everyday sounds, such as a thunderstorm, a toilet flushing, or glass breaking.

Amazon is reportedly investing millions in training Olympus.


Stockcam/iStock.

The Information reported that Olympus will be Amazon’s answer to the AI leaps made by OpenAI and Microsoft in selling similar software to corporate customers. Another report by Reuters said that the company is investing millions in training Olympus, according to the two people familiar with the matter.

Android Studio, like so much of Google’s product portfolio, is getting its infusion of AI today at the company’s annual I/O developer conference. Android Studio Hedgehog, the upcoming version of Android Studio currently in the canary release channel, will be the first to add support for the new conversational experience in Android Studio meant to help developers write code and fix bugs and answer more general coding questions.

Built on top of Codey, Google’s new PaLM 2-based foundation model specifically trained for coding, the Studio Bot will roll out to developers in the U.S. first, with a wider rollout expected over time.

face_with_colon_three year 2022.


Sozos and co-workers present and numerically evaluate photonic neuromorphic hardware using recurrent optical spectrum slicing for use in ultra-fast optical applications. The approach extends optical signal transmission reach to more than four-fold that of two state-of-the-art digital equalizers and reduces power consumption tenfold.

More than 10 Chinese companies this year have revealed innovations related to humanoid robots, he noted, adding that China already has some supporting facilities from developing industrial robots.

Beijing has set aside about 10 billion yuan (about $1.4 billion) to fund the robotic development. On Nov. 6, China opened the first provincial-level innovation center on humanoid robots in the country’s capital to work on solving pressing “key common problems,” including an operation control system, open source software, and robot prototypes.

At least one Chinese company, Jiangsu Miracle Logistics System Engineering Co., has promised to introduce its first humanoid robot by the end of the year. Chinese securities brokerage firm Zheshang Securities estimates that the humanoid robot market will have a demand for 1.77 million machines by 2030.

In particular, many have griped over their original work being used to train these AI models — a use they never opted into, and for which they’re not compensated.

But what if artists could “poison” their work with a tool that alters it so subtly that the human eye can’t tell, while wreaking havoc on AI systems that try to digest it?

That’s the idea behind a new tool called “Nightshade,” which its creators say does exactly that. As laid out in a yet-to-be-peer-reviewed paper spotted by MIT Technology Review, a team of researchers led by University of Chicago professor Ben Zhao built the system to generate prompt-specific “poison samples” that scramble the digital brains of image generators like Stable Diffusion, screwing up their outputs.