machine learning

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

Industry 4.0, the Fourth Industrial Revolution, describes a transformation in the way we produce and manage goods that is driven by the integration of digital technologies into the core of the industrial production process. This production process is changing, regulated by the interconnection of machines and systems, the automation of production, learning machines and the

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

Arm has unveiled its Cortex-M52, a highly efficient processor integrated with Arm Helium technology, delivering enhanced AI capabilities for lower-cost IoT devices. The Cortex-M line offers the flexibility to adapt to various performance levels and configurations, eliminating the need for a separate unit for digital signal processing (DSP) capabilities, resulting in significant savings in both

When the world battled the pandemic it took an incredible toll on humans – both physical and mental – and the need for personalised healthcare was realised. Personalisation in healthcare can be achieved through custom-made diagnoses and tailored treatment as per an individual’s need, lifestyle, medical situation and other factors.

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.

Lexmark has announced a new partnership with HARMAN digital transformation solutions. In this partnership HARMAN as part of its IoT (internet of things) offerings portfolio will deploy Lexmark’s IoT technology on projects for customers across various industries. The partnership will marry IoT with AI (artificial intelligence) to address the many challenges facing enterprises and public institutions.

KX has announced the native availability of kdb Insights and kdb Insights Enterprise on Google Cloud Marketplace. This represents a milestone in KX’s partnership with Google Cloud, customers can now accelerate AI (artificial intelligence), machine learning, IoT (internet of things) automation, and generative AI-powered applications on Google Cloud.

QuickLogic Corporation, a developer of embedded FPGA (field programmable gate arrays) (eFPGA) IP, ruggedised FPGAs and endpoint AI/ML (artificial intelligence / machine learning) solutions, and YorChip have formed a partnership to expand the world of FPGA chiplets. The collaboration will result in lineup of FPGA chiplets optimised for low power consumption and low cost, opening

Rambus Inc. has announced a full suite of security IP (internet protocol) solutions for the FPGA (field programmable gate arrays) market with cryptographic, side-channel, and quantum safe protections. Designed to meet the needs of FPGAs, the offering secures the broad range of devices from high-performance accelerators for generative AI, to low-power solutions for IoT (internet