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Reka, a leader in AI research, today announces the launch of Reka Nexus, an AI platform that enables businesses to scale efficiently by enabling the creation and management of AI workers that automates workflows and streamline operations.  Powered by Reka’s latest multimodal reasoning model, Reka Flash, Nexus represents the future of AI-driven enterprise automation. Also Read: How the

In this article, I'll take you through everything you need to know about Hugging Face—what it is, how to use it, and why it's a game-changer in the ever-evolving landscape of artificial intelligence. Whether you're a seasoned data scientist or an enthusiastic beginner eager to dive into AI, the insights shared here will equip you

Qualcomm Technologies has signed a deal to acquire US-based Edge Impulse, which makes miniaturised machine learning (ML) tools for microcontrollers (MCUs) in resource-constrained IoT modules. It is the latest move by the chipmaker to reorganise its IoT strategy and portfolio to combine hardware, software, and services to “scale across multiple verticals”. Last week, ahead of

Edge Impulse, a TNW community member that produces an AI platform for developers, has been acquired by American chip giant Qualcomm for an undisclosed sum.  Qualcomm said it had bought Edge Impulse to boost its machine learning software capabilities, particularly for its Dragonwing line of AI-powered chips.  Nakul Duggal, Qualcomm’s head of IoT, said the

Locus Robotics Introduces LocusINTELLIGENCE, the Future of AI-Driven Warehouse Automation Adds Powerful, Breakthrough Innovations to LocusONE™ Platform Developed by LocusLABS to Drive High Performance, Efficiency, and Enterprise Scalability for Warehouse Fulfillment Operations Locus Robotics, the global leader in mobile warehouse automation, announces LocusINTELLIGENCE, a powerful, groundbreaking, AI-driven business intelligence software layer within the LocusONE™ platform.

Artificial intelligence (AI) has dramatically reshaped the healthcare landscape, introducing deep learning (DL) and ensemble learning (EL) models that drive innovation in medical diagnostics, predictive analytics, and treatment personalization. The integration of these advanced technologies enhances disease detection, medical imaging analysis, drug discovery, and patient monitoring, offering more accurate and efficient healthcare solutions. A recent

In today’s digital era, the way we work is rapidly evolving, yet many challenges persist. Conventional AI assistants and manual workflows struggle to keep pace with the complexity and volume of modern tasks. Professionals and businesses face repetitive manual processes, inefficient research methods, and a lack of true automation. While traditional tools offer suggestions and

The rise in deep learning/AI models goes hand in hand with increased energy consumption and planet-warming pollution, sparking North Carolina State University researchers to develop a method of predicting those costs to make informed decisions. Jung-Eun Kim, an assistant professor of computer science at the educational institution, authored a paper on the subject explaining the

The usefulness of artificial intelligence and its usage in everyday life has grown exponentially over the past couple of years. It has become a part of not just online searches but also the operations of several companies. Knowing the nitty-gritties of AI is extremely important for today's professionals to enahnce their skills. A few years

Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than pure processing power. The latest GPUs struggle with tremendous bandwidth limitations as they are constantly needed to move data between varying levels of memory. This process