Toggle light / dark theme

Communication without boundaries. “We’re moving sonar onto the body.”

Cornell University researchers have developed a new technology allowing silent communication through sonar glasses. The glasses use tiny microphones and speakers to read the words that are silently mouthed by the wearer, allowing them to perform various tasks without needing physical input. The technology was developed by Ruidong Zhang, a Ph.D. student at Cornell, and builds off of a similar project that used a wireless earbud and previous models that relied on cameras.

Highly-Accurate Design.

The glasses are designed to be unobtrusive and not require the user to face a camera or wear an earbud.


AInstein robot can respond to inquiries from pupils and even illustrate Albert Einstein’s theory of temporal relativity using a pendulum.

High school students in Cyprus have developed an artificial intelligence (AI) robot that uses ChatGPT to enhance classroom learning.

The Three PASCAL schools’ creation, AInstein, can hold dialogues, produce textual content, and crack jokes, according to an article published on Thursday by Voice of America (VOA).

After almost a decade, Google have finally managed to develop a file sharing function like Apple’s AirDrop. Called Nearby Share, here’s how your use it.

Whatever your opinion about which operating system is the best, iOS has had one major advantage over Android and Windows for some time, its AirDrop feature. In fact, for more than a decade, AirDrop has been a source of pride for Apple users and a cause of resentment for many who desire an easy way to share files between Windows and Android.


Pornpak Khunatorn/iStock.

Schmidt thinks that if the AI sector doesn’t create protections, politicians will have to step in.

Eric Schmidt, the former CEO of Google, has spoken out against the six-month ban on AI development that some tech celebrities and business executives demanded earlier.

“I’m not in favor of a six-month pause, because it will simply benefit China,” said Schmidt, Google’s first CEO.


Wikimedia Commons.

The last few weeks have been abuzz with news and fears (well, largely fears) about the impact chatGPT and other generative technologies might have on the workplace. Goldman Sachs predicted 300 million jobs would be lost, while the likes of Steve Wozniak and Elon Musk asked for AI development to be paused (although pointedly not the development of autonomous driving).

Indeed, OpenAI chief Sam Altman recently declared that he was “a little bit scared”, with the sentiment shared by OpenAI’s chief scientist Ilya Sutskever, who recently said that “at some point it will be quite easy, if one wanted, to cause a great deal of harm”.


As fears mount about the jobs supposedly at risk from generative AI technologies like chatGPT, are these fears likely to prevent people from taking steps to adapt?

c Department of Chemical Biology, Xiamen University, Xiamen, 361,005, China.

The concept of xeno-nucleic acids (XNAs) was first proposed in 2009 in a theoretical paper, referring to additional types of nucleic acids, whose sugar moieties would differ from those in DNA and RNA. However, with the rising popularity of XNAs, the definition of XNAs has been extended to unnatural nucleic acids with chemically modified sugar, nucleobase, or phosphate moieties that are distinct from those found in DNA and RNA. The discovery and engineering of both polymerases and reverse transcriptases to synthesize, replicate and evolve a diverse range of XNAs has attracted significant attention and has enabled the discovery of XNA ligands (aptamers) and XNA catalysts (XNAzymes) as well as the synthesis of XNA nanostructures with potential as novel therapeutics. The field of XNAs continues to grow rapidly towards realizing the potential of XNAs in biotechnology and molecular medicine. This themed issue unites a collection of articles attesting to the rapid progress in the field.

One of the key advantages of XNAs is their generally enhanced resistance to nuclease degradation. This biostability, the affinity and specificity towards a target, and the general lack of immunogenicity of modified nucleic acids are critical for their potential application as therapeutics. Modified sugar moieties such as 2′-modified analogs, conformationally locked analogs, and threose-replaced analogs in particular contribute to the increased biological stability of XNAs against enzymatic degradation. Replacing the phosphodiester linkages with charge-neutral backbones including peptide-like backbones and triazole-linked backbones offers further opportunities to tune the stability, conformation and physicochemical properties of XNAs and enhance the affinity to their targets.

A quantum computational solution for engineering materials. Researchers at Argonne explore the possibility of solving the electronic structures of complex molecules using a quantum computer. If you know the atoms that compose a particular molecule or solid material, the interactions between those atoms can be determined computationally, by solving quantum mechanical equations — at least, if the molecule is small and simple. However, solving these equations, critical for fields from materials engineering to drug design, requires a prohibitively long computational time for complex molecules and materials.

Poor, poor, Horizon Worlds. According to Facebook-turned-Meta CTO Andrew Bosworth, the company’s metaverse of dead-eyed avatars has been all but abandoned by Meta CEO Mark Zuckerberg — who, in an added blow, is instead said to be spending the bulk of his time chasing the investor-appeasing Silicon Valley squirrel that is generative AI.

“We’ve been investing in artificial intelligence for over a decade, and have one of the leading research institutes in the world,” Bosworth told Nikkei Asia in an interview on Wednesday. “We certainly have a large research organization, hundreds of people.”

“We just created a new team, the generative AI team, a couple of months ago; they are very busy,” he added. “It’s probably the area that I’m spending the most time [in], as well as Mark Zuckerberg and [Chief Product Officer] Chris Cox.”

I ve been quite impressed so far. And, if they can be improved over night i would love to see it.


With long-term memory, language models could be even more specific – or more personal. MemoryGPT gives a first impression.

Right now, interaction with language models refers to single instances, e.g. in ChatGPT to a single chat. Within that chat, the language model can to some extent take the context of the input into account for new texts and replies.

In the currently most powerful version of GPT-4, this is up to 32,000 tokens – about 50 pages of text. This makes it possible, for example, to chat about the contents of a long paper. To find new solutions, developers can talk to a larger code database. The context window is an important building block for the practical use of large language models, an innovation made possible by Transformer networks.