AI (Artificial Intelligence)

Introduction In the ever-evolving world of e-commerce, innovation is the driving force behind transformative change. One such revolutionary platform making waves is Unibeez, an extraordinary AI-powered marketplace that’s redefining how consumers discover, purchase, and engage with products and services. In this article, we’ll take an in-depth look at Unibeez and explore how it’s reshaping the …

 Unibeez: Revolutionizing E-Commerce with an AI-Powered Marketplace Read More »

Introduction Artificial Intelligence (AI) is evolving at an unprecedented pace, and one of the most exciting developments in the field is Generative AI. This technology, driven by machine learning algorithms and deep learning models, has the power to create content, generate images, and even compose music. For AI teams, understanding the nuances of Generative AI …

What AI Teams Need to Know About Generative AI Read More »

Introduction In an era defined by technological advancements and data-driven decision-making, the Saudi Data & Artificial Intelligence Authority (SDAIA) stands as a visionary institution in the Kingdom of Saudi Arabia. Established to spearhead the nation’s digital transformation journey, SDAIA plays a pivotal role in harnessing the power of data and artificial intelligence (AI) to drive …

 Saudi Data & Artificial Intelligence Authority (SDAIA): Pioneering the Digital Transformation in Saudi Arabia Read More »

Introduction As we journey through the remarkable innovations presented at the Computer Vision and Pattern Recognition (CVPR) 2023 conference, we are greeted by a groundbreaking technological marvel: Zero-Shot Everything Sketch-Based Image Retrieval. This visionary creation not only unifies sketches and images but also propels us into the world of Explainable AI. In this article, we …

 [CVPR 2023 Series #7] Zero-Shot Everything Sketch-Based Image Retrieval: Bridging the Gap with Explainable AI Read More »

Introduction In an era where mental health detection and intervention are of paramount importance, a revolutionary approach is emerging—one that utilizes the power of multi-task learning to detect and address depression, anxiety, and mental stress concurrently. This innovative technique not only streamlines the process of mental health assessment but also enhances the overall well-being of …

 Detecting Depression, Anxiety, and Mental Stress in One Sequential Model with Multi-task Learning Read More »

Introduction In the realm of artificial intelligence and machine learning, models are often celebrated for their remarkable accuracy and predictive capabilities. However, a significant challenge lies in making these complex models interpretable and transparent to humans. Addressing this challenge is where Feature Kernel Distillation steps in, promising to bridge the gap between machine learning performance …

 Feature Kernel Distillation: Advancing Machine Learning Interpretability Read More »

Introduction In the rapidly evolving landscape of machine learning and artificial intelligence, federated learning has emerged as a groundbreaking approach to collaborative model training. It enables multiple devices or parties to collaboratively train a shared machine learning model while keeping their data decentralized and private. One of the most recent innovations in federated learning is …

FedMargin: Pioneering Federated Learning through Attentive Margin of Semantic Feature Representations Read More »

Introduction In the ever-evolving landscape of artificial intelligence (AI) and machine learning (ML), the development of efficient and flexible frameworks is crucial for harnessing the power of neural networks. One such remarkable advancement is the extension of NNStreamer, a versatile framework that facilitates the creation of sophisticated AI pipelines and enables seamless interaction among devices. …

 Extending NNStreamer: Pipeline Framework and Among-Device AI Read More »

Introduction In the ever-evolving landscape of artificial intelligence (AI), the need for robust and reliable AI models has never been greater. One innovative approach that has gained prominence is pMCT (Patched Multi-Condition Training). pMCT addresses the challenge of ensuring that AI models can perform effectively across a wide range of conditions or scenarios, offering improved …

Enhancing AI Model Robustness with pMCT – Patched Multi-Condition Training Read More »

Introduction In the ever-evolving landscape of artificial intelligence (AI) research, recognition for groundbreaking work is not only prestigious but also a testament to the innovation and dedication of research teams. The Samsung AI Center in Montreal proudly achieved this distinction by securing the Best Paper Award at the prestigious IEEE GLOBECOM 2021 conference. In this …

Samsung AI Center – Montreal Researchers Win the Best Paper Award at IEEE GLOBECOM 2021 Read More »