In an era where artificial intelligence is increasingly embedded at the edge, Vision Processing Units (VPUs) are emerging as a pivotal technology that enables real-time perception without the need to route everything to the cloud. VPUs are purpose-built accelerators designed to handle the heavy lifting of computer vision, pattern recognition, and neural inference with remarkable …
Exploring the World of Semi-Supervised Learning: Bridging the Gap Between Labeled and Unlabeled Data
En bref: Key takeaways for Semi-Supervised Learning in 2025 Semi-Supervised Learning (SSL) blends a small amount of labeled data with a large pool of unlabeled data to train more capable models while reducing labeling costs. Semi-supervised learning (SSL) sits at a pivotal intersection in modern AI: it leverages the abundance of unlabeled data alongside a …
In the rapidly evolving landscape of artificial intelligence, reinforcement learning (RL) has moved from academic curiosity to a practical engine powering autonomous systems, robotics, and decision-making at scale. When combined with deep learning, RL becomes Deep Reinforcement Learning (DRL), a paradigm that lets agents learn complex behaviors by interacting with their surroundings. By 2025, DRL …
En bref In the following sections, we explore the taxonomy of AI types, illustrate how Narrow AI dominates today’s deployments, examine the trajectory toward AGI and beyond, survey leading platforms and ecosystems, and offer a practical roadmap for organizations aiming to harness AI in 2025 and beyond. Along the way, you will encounter real-world examples, …
En bref By 2025, leading enterprises are orchestrating AI at scale with unified platforms spanning data, models, and governance. Strategic architecture now blends OpenAI, Google AI, NVIDIA, IBM Watson, and cloud-native ecosystems to deliver measurable business value. Operational excellence hinges on robust MLOps, data governance, and cross-disciplinary teams that embed AI responsibly into daily workflows. …
En bref The AI landscape in 2025 is led by a cohort of巨 innovation engines, with OpenAI, Google DeepMind, IBM Watson, Microsoft Azure AI, Amazon Web Services AI, and Nvidia at the core of rapid transformative change. Cloud platforms, hardware accelerators, and responsible AI tooling are converging to enable enterprises to deploy complex models at …
In the digital age, Google’s innovations have reshaped how people search for information, learn, work, and connect. From a relentless focus on indexing the world’s data to steering the next wave of AI-driven tools, the Alphabet-backed titan has become a central thread in the fabric of modern technology. By 2025, Google’s influence extends across search, …
En bref: The following article explores IBM’s enduring innovations and the legacy that guides its current and future trajectory in the tech industry. It integrates historical milestones with contemporary developments, connecting IBM’s past to a landscape framed by major players such as Microsoft, Apple, Google, Intel, Dell, Oracle, Lenovo, Amazon, and HP. Throughout, readers will …
In 2025, Dydon AG stands as a Swiss AI company offering a flexible and transparent artificial intelligence platform specialized in Fintech, Insurtech, and Medtech solutions. This article navigates the Dydon universe—its core architecture, ecosystem, and future roadmap—through the lenses of Dydon Insights, Dydon Discoveries, and Dydon Explorer. Along the way, we explore how governance, ethics, …
En bref The following piece examines how OpenAI has evolved since its inception in December 2015, expanding from a research-first mindset toward scalable products and strategic collaborations. As OpenAI advances its mission to ensure that artificial general intelligence (AGI) benefits all of humanity, the 2025 landscape presents both opportunities and challenges. The interplay with major …