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Machine learning can help extract important information from the huge numbers of plant specimens stored in herbaria, say scientists.

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Quantum technology is expected to fundamentally change many key areas of society. Researchers are convinced that there are many more useful quantum properties and applications to explore than those we know today. A team of researchers has now developed open-source, freely available software that will pave the way for new discoveries in the field and accelerate quantum research significantly.

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Researchers have demonstrated how carbon dioxide can be captured from industrial processes -- or even directly from the air -- and transformed into clean, sustainable fuels using just the energy from the Sun.

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Although passenger vehicle catalytic converters have been mandatory for over 30 years, there is still plenty of room for improvement. For instance, they only work correctly when the engine is sufficiently hot, which is not always the case, especially with hybrid vehicles. Researchers have now developed an improved catalyst that can properly purify exhaust gases even at room temperature.

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A new, AI-based technique for measuring fluid flow in the brain could lead to treatments for diseases such as Alzheimer's.

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Researchers have discovered how to design materials that necessarily have a point or line where the material doesn't deform under stress, and that even remember how they have been poked or squeezed in the past. These results could be used in robotics and mechanical computers, while similar design principles could be used in quantum computers.

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Today's quantum computers often calculate the wrong answer because of noisy environments that interfere with the quantum entanglement of qubits. IBM Quantum has pioneered a technique that accounts for the noise to achieve reliable results. They tested this error mitigation strategy against supercomputer simulations run by physicists, and for the hardest calculations, the quantum computer bested the supercomputer. This is evidence for the utility of today's noisy quantum computers for performing real-world calculations.

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Researchers have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques. The study offered an overview of a hybrid methodology designed to improve how AI-based machinery sense, interact and respond to its environment in real time -- as in how autonomous vehicles move and maneuver, or how robots use the improved technology to carry out precision actions.

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Researchers have developed a new model that trains four-legged robots to see more clearly in 3D. The advance enabled a robot to autonomously cross challenging terrain with ease -- including stairs, rocky ground and gap-filled paths -- while clearing obstacles in its way.

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Scientists investigate the promising properties of a common, Earth-abundant salt.

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A new class of materials that can absorb low energy light and transform it into higher energy light might lead to more efficient solar panels, more accurate medical imaging and better night vision goggles.

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A team of researchers is exploring novel materials that have potential to make microelectronics more energy efficient. Their recent work explores recently discovered wurtzite ferroelectrics, which are mainly composed of materials that are already incorporated in semiconductor technology for integrated circuits. These materials allow for the integration of new power-efficient devices for applications such as non-volatile memory, electro-optics, and energy harvesting.

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MethaneMapper is an artificial intelligence-powered hyperspectral imaging tool that researchers have developed to detect real-time methane emissions and trace them to their sources. The tool works by processing hyperspectral data gathered during overhead, airborne scans of the target area.

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Drawing from Schrodinger's cat thought experiment, scientists have built a 'critical cat code' qubit that uses bosons to store and process information in a way that is more reliable and resistant to errors than previous qubit designs.

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The debut of artificial intelligence chatbot ChatGPT has set the world abuzz with its ability to churn out human-like text and conversations. Still, many telltale signs can help us distinguish AI chatbots from humans, according to a new study. Based on the signs, the researchers developed a tool to identify AI-generated academic science writing with over 99% accuracy.

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A team has developed a more energy-efficient, tunable superconducting diode -- a promising component for future electronic devices -- that could help scale up quantum computers for industry and improve artificial intelligence systems.

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When it comes to supplying energy for space exploration and settlements, commonly available solar cells made of silicon or gallium arsenide are still too heavy to be feasibly transported by rocket. To address this challenge, a wide variety of lightweight alternatives are being explored, including solar cells made of a thin layer of molybdenum selenide, which fall into the broader category of 2D transition metal dichalcogenide (2D TMDC) solar cells. Researchers propose a device design that can take the efficiencies of 2D TMDC devices from 5%, as has already been demonstrated, to 12%.

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Scientists using artificial intelligence technology may be inviting unwanted noise into their genome analyses. Now, researchers have created a computational correction that will allow them to see through the fog and find genuine DNA features that could signal breakthroughs in health and medicine.

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AI, machine learning, and ChatGPT may be relatively new buzzwords in the public domain, but developing a computer that functions like the human brain and nervous system -- both hardware and software combined -- has been a decades-long challenge. Engineers are exploring how optical "memristors" may be a key to developing neuromorphic computing.

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Researchers have demonstrated a quantum speedup over the most efficient classical computer algorithm possible for what is believed to be the first time.  The accomplishment was performed on an IBM Montreal Quantum Falcon r4 27-qubit device.