Lifeboat Foundation

Research on quantum internet technology highlights the challenge of producing stable photons at telecom wavelengths, with recent studies focusing on material improvements and advanced emission techniques to enhance quantum network efficiency.

Computers benefit greatly from being connected to the internet, so we might ask: What good is a quantum computer without a quantum internet?

The secret to our modern internet is the ability for data to remain intact while traveling over long distances, and the best way to achieve that is by using photons. Photons are single units (“quanta”) of light. Unlike other quantum particles, photons interact very weakly with their environment. That stability also makes them extremely appealing for carrying quantum information over long distances, a process that requires maintaining a delicate state of entanglement for an extended period of time. Such photons can be generated in a variety of ways. One possible method involves using atomic-scale imperfections (quantum defects) in crystals to generate single photons in a well-defined quantum state.

Microwave technology has dramatically progressed, marked by the arrival of the 5G era, owing to the advantages of electromagnetic waves in long-distance, wireless, and high-speed transmissions. However, electromagnetic wave pollution problems such as electromagnetic wave interference and electromagnetic wave radiation are becoming increasingly serious.

Electromagnetic wave pollution not only affects the normal operation of electronic equipment, greatly threatens the information security of the scientific community, but also endangers human health and is a possible cause of cancer and sensitized diseases.

SiOC precursor ceramics have great application potential in electromagnetic protection because of their advantages such as lightweight, high-temperature resistance, and molecular designability. The main challenge of polymer-derived ceramic-based composites for electromagnetic wave absorption is the single loss mechanism, resulting in inferior electromagnetic wave attenuation ability.

I will begin with the first point and make my way gradually to the tenth point.

I’ve already mentioned to you that the AI of the 1970s was toy-like in comparison to the more involved and expansive AI of today. Modern-day generative AI, for example, makes use of vast amounts of data as scanned across the Internet to pattern-match the nature of human writing. This requires a massive amount of computing resources (something far beyond the depth readily employable in the 1970s). The large-scale modeling or pattern matching is what makes contemporary generative AI seem highly fluent.

A common phrase is to say that generative AI is mimicking or parroting human writing.

Exploring the design of efficient quantum emitters using defects in wide-bandgap semiconductors, specifically silicon carbide (SiC) and diamond.

It highlights how these defects can be engineered to emit single photons, which are crucial for quantum technologies like secure communication and quantum…

Computers benefit greatly from being connected to the internet, so we might ask: What good is a quantum computer without a quantum internet?

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Emerging technologies of today have the power to reshape industries, achieve significant scale, and shift the economic landscape.

From AI-driven advancements in disease detection to carbon-capturing microbes, these technologies stand to improve future society. Meanwhile, greater efficiencies in wireless connectivity allow networks to drive higher data rates and enhance robust communications across 6G networks and the industrial internet-of-things.

The internet is going through a shift. There used to be a thing called a “follower.” It allowed publishers, creators, and anyone online to build a community around their work. But this piece of foundational architecture for human creativity and communication – the “follow” – has been threatened. In this talk, I put this internet-wide shift in historical context from the perspective of a creator, outline where the web will go in the future, and offer thoughts on what to do about it all as a modern creator on the internet.

Google Chrome now warns when downloading risky password-protected files and provides improved alerts with more information about potentially malicious downloaded files.

These new, more detailed warning messages help users quickly learn the nature of the danger presented by each file downloaded from the Internet.

For this, Google introduced a two-tier download warning system that uses AI-powered malware verdicts sourced from its Safe Browsing service to help evaluate the actual risk quickly.

Using AI-generated datasets to train future generations of machine learning models may pollute their output, a concept known as model collapse, according to a new paper published in Nature. The research shows that within a few generations, original content is replaced by unrelated nonsense, demonstrating the importance of using reliable data to train AI models.

Generative AI tools such as large language models (LLMs) have grown in popularity and have been primarily trained using human-generated inputs. However, as these AI models continue to proliferate across the Internet, computer-generated content may be used to train other AI models—or themselves—in a recursive loop.

Ilia Shumailov and colleagues present mathematical models to illustrate how AI models may experience model collapse. The authors demonstrate that an AI may overlook certain outputs (for example, less common lines of text) in training data, causing it to train itself on only a portion of the dataset.

They also developed non-noble metal catalysts, including molybdenum-doped nickel-cobalt phosphide and plasma-induced iron composite cobalt oxide bifunctional electrodes, which showed high durability and activity. These electrodes enabled hydrogen and oxygen production at different times and locations by switching the current direction, resulting in low cell voltages, high decoupling efficiency, and high energy conversion efficiency.

To improve layered double hydroxide (LDH) electrodes, which suffer from limited capacity and poor conductivity/stability, the researchers used non-thermal plasma technology to fabricate nitrogen-doped nickel-cobalt LDH and nitrogen-doped reduced graphene oxide/nickel-cobalt LDH electrodes, which significantly improved capacity and conductivity.

Two-step water electrolysis shows promise for large-scale hydrogen storage and applications such as 5G base stations and data centers. “Our performance indicators for two-step water electrolysis for hydrogen production are synchronized with advanced indicators globally, marking an important step towards industrial operation,” said Prof. Chen Changlun.