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All-perovskite tandem solar cells, stacks of p-n junctions formed from perovskites with different energy bandgaps, have the potential of achieving higher efficiencies than conventional single-junction solar cells. So far, however, most proposed all-perovskite tandem cells have not achieved the desired power conversion efficiencies (PCEs), often due to difficulties associated with creating suitable narrow-and wide-bandgap subcells.

Researchers at Nanjing University and University of Toronto recently developed new inorganic wide-bandgap perovskite subcells that could increase the PCEs and stability of these promising solar cells. Their design, introduced in a paper in Nature Energy, involves the insertion of a passivating dipole layer at the interface between organic transport layers and inorganic perovskites within the cells.

“Our research group has been focusing on improving the PCEs of all-perovskite tandem solar cells, which have broken the world record several times and have been included in the ‘solar cell efficiency tables,’” Hairen Tan, one of the researchers who carried out the study, told Tech Xplore.

See how you can extract quantitative data from your image using the AI pixel classifier.

More about Mica: https://fcld.ly/mica-yt-tut.

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Gravitational wave astronomy is still in its early stages. So far it has focused on the most energetic and distinct sources of gravitational waves, such as the cataclysmic mergers of black holes and neutron stars. But that will change as our gravitational telescopes improve, and it will allow astronomers to explore the Universe in ways previously impossible.

Although gravitational waves have many similarities to light waves, one distinct difference is that most objects are transparent to gravitational waves. Light can be absorbed, scattered, and blocked by matter, but gravitational waves mostly just pass through matter. They can be lensed by the mass of an object, but not fully blocked.

This means that gravitational waves could be used as a tool to peer inside astronomical bodies, similar to the way X-rays or MRIs allow us to see inside a human’s body.

Is mind reading possible? An age-old question with multiple unproven answers. Those who study psychology often claim that they can understand what the other person is saying as they study mental processes, brain functions, and behaviour, but even they can be 100 per cent accurate.

A study, published in the journal Nature Neuroscience, attempts to address it as scientists have said that they have come up with a way to decode a stream of words in the brain using MRI scans and artificial intelligence.

The study titled — “Semantic reconstruction of continuous language from non-invasive brain recordings” — noted that the system won’t replicate each word but it reconstructs the brief of what a person hears or imagines. The study was published in the journal Nature Neuroscience.

ChatGPT may represent one of the biggest disruptions in modern history with it’s powerful A.I based chatbot. But within weeks of ChatGPT’s release, security researchers discovered several cases of people using ChatGPT for everything from malware development to exploit coding. In this video, take a look at the five ways attackers are utilizing ChatGPT for wrong doing.

0:14 Intro to ChatGPT / Natural Language Processing (NLP) & GPT
1:28 Using ChatGPT for Vulnerability Discovery.
1:56 Vulnerability Prompts to Utilize.
3:10 Writing Exploits.
3:35 Exploit Prompts to Utilize.
4:33 Malware Development.
5:00 Malware Examples (Stealers, Command & Control)
5:42 Polymorphic Malware Development Using ChatGPT
6:21 A.I. Based Phishing using NLP (Natural Language Processing)
7:20 ChatGPT Advantages over Traditional Phishing Messages.
7:41 Custom Messages Using GPT-3
8:04 Using Macros and LOLBINs.
9:33 GPT-3 vs GPT-4 (Coming Soon)
9:56 Cybersecurity Considerations and Predictions.

Plus: How AI is helping historians better understand our past.

Lihong Wang’s lab has succeeded in using “biphotons” to image microscopic objects in an entirely new way.

UNSW Sydney researchers have developed a chip-scale method using OLEDs to image magnetic fields, potentially transforming smartphones into portable quantum sensors. The technique is more scalable and doesn’t require laser input, making the device smaller and mass-producible. The technology could be used in remote medical diagnostics and material defect identification.

Smartphones could one day become portable quantum sensors thanks to a new chip-scale approach that uses organic light-emitting diodes (OLEDs) to image magnetic fields.

Researchers from the ARC Centre of Excellence in Exciton Science at UNSW Sydney have demonstrated that OLEDs, a type of semiconductor material commonly found in flat-screen televisions, smartphone screens, and other digital displays, can be used to map magnetic fields using magnetic resonance.

Researchers at Caltech have discovered a new phenomenon, “collectively induced transparency” (CIT), where light passes unimpeded through groups of atoms at certain frequencies. This finding could potentially improve quantum memory systems.

A newly discovered phenomenon dubbed “collectively induced transparency” (CIT) causes groups of atoms to abruptly stop reflecting light at specific frequencies.

CIT was discovered by confining ytterbium atoms inside an optical cavity—essentially, a tiny box for light—and blasting them with a laser. Although the laser’s light will bounce off the atoms up to a point, as the frequency of the light is adjusted, a transparency window appears in which the light simply passes through the cavity unimpeded.