AI & Machine Learning

Everybody is discussing Artificial Intelligence (AI) and machine learning, and some legal professionals are already leveraging these technological capabilities.  AI is not the future expectation; it is the present reality.  Aside from law, AI is widely used in various fields such as transportation and manufacturing, education, employment, defense, health care, business intelligence, robotics, and so

The energy industry faces some significant challenges, but AI applications could help. Increasing demand, population expansion, and climate change necessitate creative solutions that could fundamentally alter how businesses generate and utilize electricity. Industry researchers looking for ways to solve these problems have turned to data and new data-processing technology. Artificial intelligence, in particular — and

In the previous article, we reviewed several approaches to applying attention to vision models. We will continue our discussion, present a few additional vision models approaches in this article, and discuss their advantages over traditional approaches. Stand-Alone Self Attention Ramachandran et al. 2019 proposed an attention mechanism like the 2-D attention in Image Transformer [1].

 Attention in Vision Models: In the previous article, we briefly discussed the concept of attention and its application in the language domain. In this article, we will discuss some of the works that have applied attention in visual models tasks. Although vision models have traditionally used Convolution Networks (ConvNet) as the standard for image encoders,

Attention mechanisms have greatly helped accelerate the progress in deep learning [1] [2]. Although initially developed for language, Attention has become a popular technique in several domains such as Vision and RL. In this series of articles, we will briefly review the concept of attention and discuss some of the works that have applied attention

This blog post is the first in a series of Perspectives in Responsible AI. We present a framework that lays out a series of steps to operationalize Responsible AI. We discuss the challenges at each stage and how to progress to the next one. In our first issue, we’ll present an overview of the framework

The era of flat content seems to be over now because of the emergence of immersive technologies such as Augmented Reality (AR), Virtual Reality (VR) and 3D visuals. We have already entered a new technological era where content increasingly tends to be dynamic. Just like the dynamic content created through these immersive visuals, customer communication

Non-destructive testing (NDT) is an essential part of many quality control processes. NDT can be time-consuming, however. And, certain tasks — like visual inspection of a product or component for defects — have proven difficult to automate in many cases. Artificial Intelligence (AI) is changing this. With enough data, it’s often possible to automate a

When we talk to our prospects, they often ask the same question: “How can you help me do my business?” In fact, this question is fully justified and reasonable. In artificial intelligence, there’s no place for art for art’s sake. Everything we do has to be beneficial from our client’s standpoint. That’s why we want

Water Distribution System Overview: A water distribution system is a water supply network, which has components such as pumps and valves to carry water from storage tanks to water consumers in order to satisfy their requirements.  Need for Pump / Valve optimization: Inefficient usage of pumps can lead to enormous problems such as high energy

Many developers dream of creating the next blockbuster application. They believe that they have a wonderful idea that will really gain traction when it hits the market. New advances in artificial intelligence have created a lot of new opportunities for developers to create engaging and useful apps. Unfortunately, developers frequently discover that there is far