AI news
There has been a remarkable surge in the use of algorithms and artificial intelligence to address a wide range of problems and challenges. While their adoption, particularly with the rise of AI, is reshaping nearly every industry sector, discipline, and area of research, such innovations often expose unexpected consequences that involve new norms, new expectations,…
A Field Programmable Gate Array (FPGA) is an integrated circuit that can be configured and customized after manufacturing. These chips are called “field-programmable” because of this ability. They consist of programmable logic blocks that can be set up to carry out a wide range of functions or act as logic gates, providing the user with…
Anonymization is a significant problem when handling Industrial Internet of Things (IIoT) data. Machine Learning (ML) applications require decrypted data to perform tasks efficiently, which means that third parties involved in data processing may have access to sensitive information. This poses a risk of privacy leaks and information leakage for the companies generating the data….
Artificial Intelligence (AI) and Predictive Analytics are reshaping the way all businesses operate. In this article, we will key in on engineering applications of AI and Predictive Analytics. We will start with the general concept of Artificial Intelligence (AI). We’ll go into the details of Predictive Engineering Analytics applied to engineering. We will give details…
Enormous large language models (LLMs) can exhibit appealing skills like producing human-like discourse and responding to complicated inquiries because they have been trained at scale on large text corpora. While undoubtedly amazing, most cutting-edge LLMs are trained on text-only data downloaded from the Internet. They frequently cannot absorb concepts based on the actual world because…
Implicit neural representations (INRs) or neural fields are coordinate-based neural networks representing a field, such as a 3D scene, by mapping 3D coordinates to color and density values in 3D space. Recently, neural fields have gained a lot of traction in computer vision as a means of representing signals like pictures, 3D shapes/scenes, movies, music,…
Generative AI has emerged as a transformative force across numerous sectors, including the automobile industry, where its influence is on the rise. With applications from manufacturing advancements to enhanced automation, passenger well-being, and safety, generative AI can revolutionize various aspects of the automotive landscape. This article discusses the various applications of Generative AI for current…
It is widely recognized that artificial intelligence (AI) has made significant strides in recent years, leading to remarkable achievements and breakthrough outcomes. However, it is not true that AI can attain equally impressive results across all tasks. For instance, while AI can surpass human performance in certain visual tasks, such as facial recognition, it can…
The exponentially expanding scale of deep learning models is a major force in advancing the state-of-the-art and a source of growing worry over the energy consumption, speed, and, therefore, feasibility of massive-scale deep learning. Recently, researchers from Cornell talked about Transformer topologies, particularly how they are dramatically better when scaled up to billions or even…
Anonymization is a critical problem in the context of face recognition and identification algorithms. With the increasing productization of these technologies, ethical concerns have emerged regarding the privacy and security of individuals. The ability to recognize and identify individuals through their facial features raises questions about consent, control over personal data, and potential misuse. The…
