Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change and ...

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...

Cities around the world are increasingly investing in smart city technology to deliver economic, social and environmental benefits for their constituents. As the adoption of this technology grows, so ...

Discover how Edge Computing platforms are a requisite for discrete manufacturers to solve production challenges, accelerate digitalization, and establish a reliable infrastructure that supports ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

BITS Pilani Work Integrated Learning Programmes (WILP) has announced the launch of new, industry-focused programmes in Artificial Intelligence & Machine Learning (AI & ML) and ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...