This AI powered 'tongue' can tell Coke and Pepsi apart
Oct 9, 2024
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Shaptar Shidas, a researcher behind the AI-powered graphene tongue, discusses this groundbreaking invention that can differentiate between similar beverages like Coke and Pepsi using artificial intelligence. He reveals how AI training overcomes the inconsistencies in graphene sensors for reliable chemical detection. The conversation also touches on the ecological impact of migrating Pacific salmon, highlighting their dual role in transferring nutrients and contaminants, and the importance of understanding their effects on ecosystems.
The AI-powered graphene tongue demonstrates a significant advancement in sensor technology, improving food safety by accurately distinguishing between similar beverages and detecting quality issues.
Research on Pacific salmon illustrates their critical ecological role as nutrient transporters, highlighting the balance between their benefits and the contamination risks they may carry.
Researchers have developed an AI-powered graphene tongue capable of distinguishing between various beverages, such as different Coke products and even Pepsi and Coke. This innovation utilizes a rectangular graphene sensor, which interacts with chemicals to reveal subtle differences through an electronic signal processed by an artificial neural network. The versatility of the graphene tongue extends beyond beverages, showing potential in food safety and quality control by identifying whether liquids like milk are diluted or determining the freshness of orange juice. This advancement highlights how merging AI with chemical sensors can address reliability issues inherent in sensor technology.
Pacific Salmon's Nutrient and Contaminant Cycling
Pacific salmon, which migrate from freshwater to marine environments and back, play a crucial role in transferring both nutrients and contaminants between ecosystems. On their journey, they accumulate nutrients like carbon and nitrogen while also carrying hazardous substances such as mercury and industrial chemicals back to their spawning grounds. Recent studies indicate that despite a decline in salmon size due to environmental changes, the overall number and biomass of salmon have increased, resulting in a higher nutrient transfer compared to contaminants. This nuanced understanding reveals the complex impact salmon have on aquatic ecosystems, blending ecological benefits with potential risks.
Nobel Prize Highlights Major Advances in MicroRNAs and AI in Biology
The recent Nobel Prize in Physiology or Medicine celebrated the groundbreaking discovery of microRNAs, which regulate gene expression and hold significant implications across various biological processes. This award recognizes the work of two geneticists whose initial findings in the early 1990s have expanded into a crucial area of research linked to developmental biology and disease. Alongside, the Physics Nobel acknowledged the development of neural network tools that underpin contemporary artificial intelligence systems, reflecting the intersection of biology and technology. This evolution demonstrates the ongoing significance of foundational scientific research and its transformative potential in modern scientific challenges.
Artificial Intelligence Advances Research Capabilities
Innovations like AlphaFold and Rosetta Fold are revolutionizing the realm of protein structure prediction, vastly improving the efficiency and accuracy of research in this area. AlphaFold, developed by DeepMind, offers predictions that rival experimental results, while Rosetta Fold enables the design of new proteins with unique functions. These AI tools not only expedite research processes but also challenge traditional methodologies, underscoring the collaborative nature of human researchers and AI in scientific advancements. As these technologies continue to mature, they promise to unlock new avenues for exploration and understanding within biological sciences.
Researchers have developed a graphene ‘tongue’ that uses AI to tell the subtle differences between drinks. Graphene has long been sought after as a chemical sensor, but tiny variations between devices have meant that it couldn’t be used very reliably. The team behind the ‘tongue’ got around this problem by training an AI to tell the difference between similar liquids regardless of variations between graphene devices. They hope that their work shows that it’s possible to use ‘imperfect’ chemical sensors to get accurate readings and that the ‘tongue’ will be able to help detect problems with food.
A 3D-printed optical microscope that can image biological samples with ultrahigh resolution, and how newly-hatched sea turtles dig their way up to the beach.
11:32 How migrating salmon move nutrients and contaminants at a continental scale
Studies of migrating Pacific salmon have revealed that these animals transport thousands of tonnes of nutrients and kilograms of contaminants from the ocean to freshwater ecosystems. It’s been known that as the fish return to their freshwater spawning grounds from the sea they bring with them both nutrients and contaminants, but the impact of each has largely been studied separately. A new study combines datasets to estimate that over 40 years, the levels of nutrients these fish carry have increased at a proportionally higher rate than the contaminants, but the toxins could nevertheless be present at concerning levels to the animals that eat them.