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New AI could turn meal photos into instant nutrition facts

  • Researchers from NYU Tandon School of Engineering have developed an AI system that can recognize meals from photos and provide a full nutritional breakdown.
  • The smart food scanner uses an AI image recognition tool called YOLOv8 to identify different types of food, estimate portion sizes, and calculate the nutritional content.
  • The AI system has an accuracy rate of around 80% and is currently a prototype, but it has the potential to be expanded for everyday health tracking and used by healthcare providers.
  • The tool aims to make healthy eating easier and smarter, helping people manage their weight, diabetes, and other diet-related health concerns.

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E-scooters could help make cycling safer on the roads, study finds

  • A new study suggests that e-scooters have contributed to a 20% drop in bicycle collisions on the roads.
  • The research, based on UK police records, compared areas with e-scooter rental schemes to those without.
  • The decrease in bike accidents in areas with e-scooter programs supports the theory of 'safety in numbers,' promoting cautious driving.
  • This study may encourage more cities to support micromobility options for both convenience and road safety.

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Tiny new sensor could help stop battery fires before they start

  • Scientists have developed a new sensor to prevent fires and explosions caused by lithium-ion batteries.
  • The sensor is designed to detect ethylene carbonate (EC) gas, which is released when the battery is damaged or overheated.
  • The sensor uses a covalent organic framework (COF) material, called COF-QA-4, to detect EC gas at low levels.
  • This low-cost and energy-efficient sensor could be used in electric vehicles and other devices to provide early warnings and prevent accidents.

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Eletimes

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Breaking Boundaries with Photonic Chips and Optical Computing

  • Photonic chips and optical computing are ushering in a new era by leveraging light for high-performance computing and data processing.
  • Photonic chips use photons for information transmission, offering advantages like speed, energy efficiency, and parallel processing over traditional electronics.
  • Key components of photonic chips include waveguides, modulators, detectors, and resonators for advanced signal processing.
  • Optical computing, with its speed, low energy consumption, and massive parallelism, aims to revolutionize information processing and reduce signal crosstalk.
  • Core technologies enabling photonic computing include silicon photonics, optical logic gates, neuromorphic computing for AI acceleration, and quantum photonics for secure computation.
  • Applications range from data centers and AI acceleration to telecommunications, healthcare, defense, and aerospace, showcasing the versatility of photonic computing.
  • Challenges such as fabrication complexity, hybrid architectures, software development, and energy efficiency must be addressed for broader adoption of photonic computing.
  • Photonic computing signifies a paradigm shift with its speed, efficiency, and scalability, promising transformative impacts on various industries and information processing.

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Solid-state lithium batteries may not be the game-changer we expected

  • A recent study suggests that solid-state lithium metal batteries using lithium lanthanum zirconium oxide (LLZO) as a solid electrolyte do not significantly increase energy density compared to current lithium-ion batteries.
  • The use of LLZO results in only a small improvement in energy density, achieving 272 Wh/kg compared to the 250-270 Wh/kg of lithium-ion batteries.
  • LLZO faces challenges such as weight, brittle nature, manufacturing difficulty, and issues with lithium dendrites.
  • Researchers propose hybrid solutions, such as LLZO-in-polymer composite electrolytes, and quasi-solid-state batteries to improve energy performance, reduce weight, and address practical engineering issues.

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Smart coffee-making robot shows the future of AI-powered machines

  • A team of scientists has developed an AI-powered robot that can make coffee in a busy kitchen.
  • The robot combines advanced AI, sensitive sensors, and fine motor skills to adapt to its environment.
  • It understands verbal instructions, scans the kitchen, measures and mixes coffee, and can adapt to unexpected changes.
  • This breakthrough opens up possibilities for intelligent robots in various real-world environments.

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Scientists develop advanced materials to improve power electronics

  • Scientists are working to develop better materials for power electronics to reduce energy loss and improve performance.
  • Research focuses on wide-bandgap materials such as aluminum gallium nitride (AlxGa1-xN), which can handle more power while reducing heat and electrical losses.
  • A team of researchers from NREL, Colorado School of Mines, and Oak Ridge National Laboratory found that growing AlxGa1-xN on tantalum carbide (TaC) substrate helps reduce defects and improve energy efficiency in power electronics.
  • Combining experimental and computational research, scientists are making advancements in power electronics that could lead to more efficient and powerful electronic devices.

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Pymnts

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Nvidia to Buy ‘Several Hundred Billion’ Dollars’ Worth of US-Made Electronics

  • Nvidia plans to purchase 'several hundred billion' dollars' worth of US-made electronics over the next four years.
  • The chip designer will source products from suppliers like TSMC and Foxconn, improving supply chain resiliency and avoiding tariffs.
  • The move allows Nvidia to reduce dependence on TSMC's facilities in Taiwan and mitigate risks related to China and potential US tariffs.
  • Nvidia CEO believes that the Trump administration's policies will support the growth of AI and data centers in the US.

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Eletimes

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STM32CubeProgrammer 2.18: Improving the “flow” in “workflow”

  • STM32CubeProgrammer 2.18 introduces new features to enhance the developer experience, focusing on making flashing and debugging STM32 microcontrollers simpler and more intuitive.
  • New features include support for additional MCUs like STM32WL3, STM32N6, and STM32C0 devices, along with enhanced feature support for existing models like STM32H7R3/7S3/7R7/7S7, STM32 MPUs, and STM32U5.
  • Improvements in version 2.18 include better user experience with more supported features using SEGGER J-Link probe, project mode for efficient collaboration, and a synthetic option byte view for quicker editing.
  • The new version also separates elements like RSSe binaries, STM32HSM-V2 personalization files, and option bytes templates into the X-CUBE-RSSe expansion package for easier updating.
  • STM32CubeProgrammer serves as a flasher and debugger for STM32 MCUs, offering features like register map dumping, simultaneous external memory flashing, custom traces, and streamlined color-coded debugging.
  • Key features of the software include new MCU support, full SEGGER J-Link probe support, exporting option bytes, automating Bluetooth stack installation, and security features like Trusted Package Creator and Secure Manager.
  • The software also includes support for new STM32 MCUs like STM32C0, STM32MP25, STM32WB05/6/7, STM32MP13, and updates for STM32H5, STM32U5, STM32WB, and STM32WBA series.
  • Qt 6 support has been added in version 2.16, ensuring a unified user experience across major operating systems.
  • STM32CubeProgrammer continues to enhance the workflow for developers, offering a comprehensive tool for flashing, debugging, and managing STM32 devices efficiently.
  • The latest version aims to streamline the development process, making it more intuitive and user-friendly, ultimately improving the workflow for developers working with STM32 microcontrollers.
  • STMicroelectronics strives to keep pace with advancements in STM32 technology by regularly updating STM32CubeProgrammer to support new MCUs, enhance security features, and improve overall user experience.

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Medium

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The Evolution of Lenovo ThinkPads: From IBM to Modern Powerhouses

  • The ThinkPad series has evolved significantly, transitioning from IBM to Lenovo.
  • Under Lenovo's leadership, ThinkPads saw improvements in design, performance, and security.
  • Notable modern models include the ThinkPad P17 Gen 2 i9 and the ThinkPad P15 Gen 2.
  • These modern ThinkPads offer a combination of power, durability, and security.

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Soft, wiggly robots? MIT’s new artificial muscle can flex in multiple directions

  • Scientists at MIT have created a new kind of artificial muscle that can flex and move in multiple directions.
  • This breakthrough could lead to soft, flexible robots that can squeeze through tight spaces.
  • MIT engineers used a 3D-printed stamp with microscopic grooves to guide muscle cells into different shapes, allowing the artificial muscles to contract in multiple directions.
  • The breakthrough has potential applications in soft robotics, including rescue missions, exploring underwater environments, and medical uses for people with neuromuscular injuries.

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This AI ring could track spelled words in American Sign Language

  • Researchers at Cornell University have developed an AI-powered ring called SpellRing that tracks fingerspelling in American Sign Language (ASL) in real time.
  • SpellRing uses micro-sonar technology to detect hand and finger movements, enabling easier text input into computers and smartphones for ASL users.
  • The device, worn on the thumb, captures hand and finger movements through a microphone, speaker, and gyroscope, and relies on a deep-learning AI system for accurate prediction of fingerspelled letters.
  • While SpellRing is a significant advancement, it only tracks fingerspelling and not other aspects of ASL. Future plans include integrating the technology into eyeglasses to capture facial expressions and body movements for a complete ASL translation system.

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Scientists create ‘audible enclaves’ for private listening without headphones

  • Scientists at Penn State have developed 'audible enclaves' which allow private listening without headphones.
  • The technology uses ultrasonic beams that create a private listening zone at the intersection point.
  • These 'audible enclaves' work by utilizing an acoustic metasurface and sound bending lenses.
  • The system can project sound up to a meter away and at a volume similar to regular speaking.

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Hackaday

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Turning Down the Noise on SMPS

  • Electricity in real life behaves differently from what is expected on paper, making switch-mode power supplies (SMPS) challenging to build and troubleshoot
  • The rectifier diodes and switching transistors in SMPS can generate noise, but proper component selection and reducing transition time can help limit it
  • Optimizing component properties and managing non-ideal capacitance can minimize noise in power supplies
  • FesZ Electronis provides a comprehensive video discussing the challenges and techniques to reduce noise in SMPS

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Quantum-inspired cameras capture the first moments of life

  • Scientists at the University of Adelaide have used quantum-inspired cameras to capture detailed images of embryos.
  • These cameras allow researchers to study living cells using very low levels of light, preventing damage to the cells.
  • The technology has potential applications in IVF research and reproductive science, improving imaging techniques.
  • The project involved experts in optics, biology, laser physics, and microscopy, and utilized AI technology to enhance the image quality.

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