ML

In the global battle against climate change and to be more sustainable, the quest for energy efficiency has taken centre-stage. The focus on sustainability is an increasing emphasis on humanity’s finite resources and the effect of our energy-consumption habits on the world around us. This heightened awareness is leading to a radical rethinking of how

Ericsson and Etihad Etisalat (Mobily) have extended their managed services agreement for a further three years to use next-generation Artificial Intelligence (AI) and Machine Learning (ML) for autonomous operations.

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

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

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

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.

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,

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

Munich, Germany. 24 February 2022 – Codasip, the provider of processor design automation, announced the L31 and L11, the latest in its range of low power embedded RISC-V processor cores optimised for customisation. With the new cores, customers can more easily customise processor designs using Codasip Studio tools to support challenging tasks such as neural networks (AI/ML)

Munich, Germany. 8 February, 2022 – Infineon Technologies AG is collaborating with SensiML, a developer of AI tools for building intelligent Internet of Things (IoT) endpoints. Together they offer developers an easy and seamless process to capture data from Infineon XENSIV sensors, train Machine Learning (ML) models, and deploy real-time inferencing models directly on ultra-low power PSoC 6

Eton, UK. 26th January 2022 – 81% of global fintechs cite data issues as the biggest technical challenge they face, with almost three-quarters (74%) of fintechs whose solutions are in the early adoption phase and almost all (85%) of those with an established offering or whose products have large scale adoption see it as their biggest

Edinburgh, UK. 17th November, 2021 – IOTech, an edge software company, expects to see a proliferation of artificial intelligence (AI) and machine learning at the IoT edge soon, and that edge-cloud architectures will be the norm. 

Arthur, the machine learning monitoring company, and Algorithmia, the industry provider in MLOps and model management, are partnering to bring Arthur’s monitoring capabilities to organisations that have deployed their ML models on the Algorithmia platform.

The invention of the Printed Circuit Board (PCB) in the 1950s changed the world of automation. Prior to the PCB, electronic circuit boards were assembled exclusively by hand, a laborious process that greatly limited global production.

Siemens announced an expansion of the Digital Innovation Platform with the introduction of the latest version of NX software, which has been enhanced with Machine Learning (ML) and Artificial Intelligence (AI) capabilities.

Data scientists have often been compared to the heart and soul of the running of Internet of Things (IoT) projects, says Anthony Sayers, IoT Evangelist at Software AG. As the gatekeeper to every organisations capability to make more informed decisions with their data, these individuals are considered vital for successful IoT projects.