Concept Reply enhances EV charging with Test Automation Framework

Concept Reply, a company within the Reply Group specialising in IoT innovation, has expanded the capabilities of its Test Automation Framework to include the validation of electric vehicle charging systems. Using digital models (digital twins) integrated into the proprietary test cycle automation framework, Concept Reply’s solution allows for measuring the reliability, efficiency and safety levels

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AI at the Edge: Future of memory and storage in accelerating intelligence

The expanding use of AI in industry is accelerating more complex approaches — including machine learning (ML), deep learning and even large language models. These advancements offer a glimpse of the massive amounts of data expected to be used at the edge. Although the current focus has been on how to accelerate the neural network

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The comprehensive guide to AI and ML’s transformative power

Media In our everyday life, it has become increasingly hard to avoid hearing the words ‘Artificial Intelligence (AI)’ and ‘Machine Learning (ML)’ whether in industry or academia. These technologies have entered our daily lives and are transforming most sectors of the economy, building new spheres of knowledge and practice, and ushering a new era in

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Nous Infosystems attains Microsoft AI and Machine Learning Specialisation

Nous Infosystems has announced that it has achieved the Microsoft AI and Machine Learning Specialisation. This advanced specialisation solidifies Nous’ position as a trusted partner for clients and affirms exceptional capabilities in delivering successful solutions using advanced Artificial Intelligence (AI) and Machine Learning (ML) capabilities.

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Nuvoton unveils endpoint AI platform for MCU AI products

Nuvoton has announced its latest Endpoint AI Platform, designed to expedite the creation of comprehensive microcontroller (MCU) AI products. The platform uses Nuvoton’s advanced MCU and MPU silicon, such as the NuMicro M55M1 featuring Ethos U55 NPU, NuMicro MA35D1, and NuMicro M467 series. These MCUs serve as valuable additions to the contemporary AI-focused computing toolkit,

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SensiML launches Data Studio for streamlining sensor data management

SensiML Corporation has announced the launch of Data Studio, a platform designed to change the landscape of sensor data management. With a focus on practicality and efficiency, Data Studio empowers engineers and data scientists by offering an integrated solution that addresses the most time-consuming tasks in AI engineering projects – creating high-quality datasets for evaluating

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Renesas Electronics enhances AI development to bring real-time data handling to AIoT applications

Renesas Electronics Corporation has announced that it has created interfaces between its Reality AI Tools and its e2 studio integrated development environment, enabling designers to share data, projects and AI code modules between the two programmes.

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Infovista launches planet cloud bringing unparalleled scalability and automation

Paris, France. 20th January 2022 – Infovista, the global provider of network lifecycle automation (NLA), announced Planet Cloud, delivering the RF planning and optimisation algorithms of its Planet solution in a cloud-native, API-based application to bring unparalleled scalability and automation.

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Does the world need another IoT standard?

Webcomic #927 on the xkcd.com site typifies the dilemma around standardisation. It makes a joke about two people wanting to create a new standard when fourteen already exist, says Ken Figueredo of oneM2M.

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Siemens and Google Cloud to cooperate on AI-based solutions in manufacturing

Google Cloud and Siemens, an innovation and technology provider in industrial automation and software, announced a new cooperation to optimise factory processes and improve productivity on the shop floor.

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SwiftStack announces world’s first multi-cloud AI/ML data management solution

SwiftStack, the provider of multi-cloud data storage and management, announced a new customer-proven edge-to-core-to-cloud solution that supports large-scale

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