Artificial Intelligence

    Changing methods of Anatomical research using AI

    There was once a time, not so long ago when scientists like Casey Holliday needed scalpels, scissors, and even their own hands to conduct...

    Artificial Intelligence Chips Market Trends

    The Artificial Intelligence Chips Market is projected to grow from USD 7.6 billion in 2020 to USD 70.9 billion by 2026 at a CAGR of around 42.3% during the forecast period. What is...

    Self-driving Vehicles with Human-like Perception

    How can mobile robots perceive and understand the environment correctly, even if parts of the environment are occluded by other objects? This is a...

    AI Model for Autonomous Driving

    A research team consisting of Oskar Natan, a Ph.D. student, and his supervisor, Professor Jun Miura, who are affiliated with the Active Intelligent System...

    AI-Based Security at the Endpoint

    The Internet of Things (IoT) has transformed the fabric of the world into a smarter and more responsive one by merging the digital and...

    A New Generation of Hearing Aids

    A new system capable of reading lips with remarkable accuracy even when speakers are wearing face masks could help create a new generation of...

    Optical Wafer Defect Inspection at Nano Scale and Beyond

    Defect inspection scientists from Huazhong University of Science and Technology, Harbin Institute of Technology, and The Chinese University of Hong Kong make a thorough...

    Optimization Fluid Mixing with Machine Learning

    Fluid mixing is an important part of several industrial processes and chemical reactions. However, the process often relies on trial-and-error-based experiments instead of mathematical...

    STMicroelectronics extends STM32Cube.AI Development Tool with Support for Deeply Quantized Neural Networks

    STMicroelectronics has released STM32Cube.AI version 7.2.0, the first artificial intelligence (AI) development tool by an MCU (microcontroller) vendor to support ultra-efficient deeply quantized neural networks. STM32Cube.AI converts...

    STM32Cube.AI v7.2, Now With Support for Deeply Quantized Neural Network and Why It Matters

    STM32Cube.AI v7.2, released recently, brings support for deeply quantized neural networks, thus enabling more accurate machine learning applications on existing microcontrollers. Launched in 2019, STM32Cube.AI converts...

    Hologram Reconstruction with Deep Neural Network

    Deep learning has achieved benchmark results for various imaging tasks, including holographic microscopy, where an essential step is to recover the phase information of...

    Aiming to Enhance Human-robot Collaboration with AI

    Artificial intelligence (AI) methods have become increasingly advanced over the past few decades, attaining remarkable results in many real-world tasks. Nonetheless, most existing AI...

    Enhance Touch and Gesture with AI

    As the adoption of capacitive touch interfaces expands rapidly, the use of conventional mechanical keys with limited functions is effectively being swapped for them....

    Uncovering Actionable Chip Design Insights Through ML-Driven Big Data Analytics

    Look deep under the covers of any digital chip design flow, and you will find a vast, untapped wealth of information about the health...

    Edge AI: Why Not Run it Right on Your Wireless Module?

    In just a decade, artificial intelligence (AI) has gone from being a hype to a fundamental technological enabler of our online lives. Services such...

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