Lifeboat Foundation

This summer the federal government took steps to boost connectivity by expanding existing broadband infrastructure. In late June the Biden administration announced a $42.45 billion commitment to the Broadband Equity, Access, and Deployment (BEAD) program, a federal initiative to provide all U.S. residents with reliable high-speed Internet access. The project emphasizes broadband connectivity, but some researchers suggest a more powerful cellular connection could eventually sidestep the need for wired Internet.

The 6G network is so early in its development that it is still not even clear how fast that network will be. Each new generation of wireless technology is defined by the United Nations’ International Telecommunication Union (ITU) as having a specific range of upload and download speeds. These standards have not yet been set for 6G—the ITU will likely do so late next year—but industry experts are expecting it to be anywhere from 10 to 1,000 times faster than current 5G networks. It will achieve this by using higher-frequency radio waves than its predecessors. This will provide a faster connection with fewer network delays.

No matter how fast the new network turns out to be, it could enable futuristic technology, according to Lingjia Liu, a leading 6G researcher and a professor of electrical and computer engineering at Virginia Tech. “Wi-Fi provides good service, but 6G is being designed to provide even better service than your home router, especially in the latency department, to address the growing remote workforce,” Liu says. This would likely result in a wave of new applications that have been unfathomable at current network speeds. For example, your phone could serve as a router, self-driving cars may be able to communicate with one another almost instantaneously, and mobile devices might become completely hands-free. “The speed of 6G will enable applications that we may not even imagine today. The goal for the industry is to have the global coverage and support ready for those applications when they come,” Liu says.

CAMBRIDGE, Mass. — Researchers at MIT have achieved a significant breakthrough in quantum computing, bringing the potential of these incredible thinking machines closer to realization. Quantum computers promise to handle calculations far too complex for current supercomputers, but many hurdles remain. A primary challenge is addressing computational errors faster than they arise.

In a nutshell, quantum computers find better and quicker ways to solve problems. Scientists believe quantum technology could solve extremely complex problems in seconds, while traditional supercomputers you see today could need months or even years to crack certain codes.

What makes these next generation supercomputers different from your everyday smartphone and laptop is how they process data. Quantum computers harness the properties of quantum physics to store data and perform their functions. While traditional computers use “bits” (either a 1 or a 0) to encode information on your devices, quantum technology uses “qubits.”

In case you missed the hype, Humane is a startup founded by ex-Apple executives that’s working on a device called the “Ai Pin” that uses projectors, cameras and AI tech to act as a sort of wearable AI assistant. Now, the company has unveiled the AI Pin in full at a Paris fashion show (Humane x Coperni) as a way to show off the device’s new form factor. “Supermodel Naomi Campbell is the first person outside of the company to wear the device in public, ahead of its full unveiling on November 9,” Humane wrote.

The company describes the device as a “screenless, standalone device and software platform built from the ground up for AI.” It’s powered by an “advanced” Qualcomm Snapdragon platform and equipped with a mini-projector that takes the place of a smartphone screen, along with a camera and speaker. It can perform functions like AI-powered optical recognition, but is also supposedly “privacy-first” thanks to qualities like no wake word and thus no “always on” listening.”

It wouldn’t shock me if all the buzz around searching for the ‘locus of consciousness’ merely fine-tunes our grasp of how the brain is linked to consciousness — without actually revealing where consciousness comes from, because it’s not generated in the brain. Similarly, your smartphone doesn’t create the Internet or a cellular network; it just processes them. Networks of minds are a common occurrence throughout the natural world. What sets humans apart is the impending advent of cybernetic connectivity explosion that could soon evolve into a form of synthetic telepathy, eventually leading to the rise of a unified, global consciousness — what could be termed the Syntellect Emergence.

#consciousness #phenomenology #cybernetics #cognition #neuroscience

In summary, the study of consciousness could be conceptualized through a variety of lenses: as a series of digital perceptual snapshots, as a cybernetic system with its feedback processes, as a grand theater; or perhaps even as a VIP section in a cosmological establishment of magnificent complexity. Today’s leading theories of consciousness are largely complementary, not mutually exclusive. These multiple perspectives not only contribute to philosophical discourse but also herald the dawn of new exploratory avenues, equally enthralling and challenging, in our understanding of consciousness.

Continue reading “What Constitutes Your Stream of Consciousness?” »

ChatGPT is a hot topic at my university, where faculty members are deeply concerned about academic integrity, while administrators urge us to “embrace the benefits” of this “new frontier.” It’s a classic example of what my colleague Punya Mishra calls the “doom-hype cycle” around new technologies. Likewise, media coverage of human-AI interaction – whether paranoid or starry-eyed – tends to emphasize its newness.

In one sense, it is undeniably new. Interactions with ChatGPT can feel unprecedented, as when a tech journalist couldn’t get a chatbot to stop declaring its love for him. In my view, however, the boundary between humans and machines, in terms of the way we interact with one another, is fuzzier than most people would care to admit, and this fuzziness accounts for a good deal of the discourse swirling around ChatGPT.

When I’m asked to check a box to confirm I’m not a robot, I don’t give it a second thought – of course I’m not a robot. On the other hand, when my email client suggests a word or phrase to complete my sentence, or when my phone guesses the next word I’m about to text, I start to doubt myself. Is that what I meant to say? Would it have occurred to me if the application hadn’t suggested it? Am I part robot? These large language models have been trained on massive amounts of “natural” human language. Does this make the robots part human?

Researchers at the Indian Institute of Science (IISc) have developed a fully indigenous gallium nitride (GaN) power switch that can have potential applications in systems like power converters for electric vehicles and laptops, as well as in wireless communications. The entire process of building the switch—from material growth to device fabrication to packaging—was developed in-house at the Center for Nano Science and Engineering (CeNSE), IISc.

Due to their high performance and efficiency, GaN transistors are poised to replace traditional silicon-based transistors as the building blocks in many electronic devices, such as ultrafast chargers for electric vehicles, phones and laptops, as well as space and military applications such as radar.

“It is a very promising and disruptive technology,” says Digbijoy Nath, Associate Professor at CeNSE and corresponding author of the study published in Microelectronic Engineering. “But the material and devices are heavily import-restricted … We don’t have gallium nitride wafer production capability at commercial scale in India yet.” The know-how of manufacturing these devices is also a heavily-guarded secret with few studies published on the details of the processes involved, he adds.

OpenAI recently announced an upgrade to ChatGPT (Apple, Android) that adds two features: AI voice options to hear the chatbot responding to your prompts, and image analysis capabilities. The image function is similar to what’s already available for free with Google’s Bard chatbot.

Even after hours of testing the limits and capabilities of ChatGPT, OpenAI’s chatbot still manages to surprise and scare me at the same time. Yes, I was quite impressed with the web browsing beta offered through ChatGPT Plus, but I remained anxious about the tool’s ramifications for people who write for money online, among many other concerns. The new image feature arriving for OpenAI’s subscribers left me with similarly mixed feelings.

While I’ve not yet had the opportunity to experiment with the new audio capabilities (other great reporters on staff have), I was able to test the soon-to-arrive image features. Here’s how to use the new image search coming to ChatGPT and some tips to help you start out.

Who knows? Maybe this is a way for giving commands to a computer/AI instead of implants if further developed in the future.

The streaming data from these biosensors can be used for health monitoring and diagnosis of neuro-degenerative conditions.

A pair of earbuds can be turned into a tool to record the electrical activity of the brain as well as levels of lactate in the body with the addition of two flexible sensors screen-printed onto a stamp-like flexible surface.

Continue reading “New Biosensors Allow Earbuds To Record Brain Activity and Exercise Levels” »

What if you could hear photos? Impossible, right? Not anymore – with the help of artificial intelligence (AI) and machine learning, researchers can now get audio from photos and silent videos.

Academics from four US universities have teamed up to develop a technique called Side Eye that can extract audio from static photos and silent – or muted – videos.

The technique targets the image stabilization technology that is now virtually standard across most modern smartphones.