Search results for "Artificial Intelligence"

A logo redesign without controversy is like a workout with no sweat. It’s possible, but is it impactful? We scrutinize high-drama logo updates and ask why they caught fire in the public arena.

Your company’s treasury team is a powerful function with the ability to influence all the levers of shareholder returns. Yet, often these teams are structured, staffed, and incentivized poorly.

The recent resurgence in Artificial Intelligence has been powered in no small part by a new trend in machine learning, known as “Deep Learning”. In this article, I’ll introduce you to the key concepts and algorithms behind Deep Learning, beginning with the simplest building block.

Since the historic Brexit vote, much speculation has been made regarding the effects this would have on the UK’s economy. In this article, I take a look at what the anticipated impacts of Brexit on the UK financial sector are, assess their merits and likelihood, and see what the long-lasting impact on the financial sector around the world may be.

TensorFlow makes implementing deep learning on a production scale a breeze. However, understanding its core mechanisms and how dataflow graphs work is an essential step in leveraging the tool’s power.

In this article, Toptal Freelance Software Engineer Oliver Holloway demonstrates how TensorFlow works by first solving a general numerical problem and then a deep learning problem.

Non-Salesforce app developers may be overlooking a hidden gem in the AI world: Salesforce Einstein offers image recognition and text analysis for plain-vanilla apps and Salesforce apps alike. In this article, Toptal Freelance Salesforce Developer Fahad Munawar Khan shows how any developer can leverage Einstein Vision and Einstein Language.

Detecting objects of interest in images has always been an interesting challenge in the realm of computer vision, and many approaches have been developed over recent years. As mobile platforms are becoming increasingly powerful, now is the perfect opportunity to develop interesting mobile applications that take advantages of these algorithms. This article walks us through the process of building a simple iOS application for detecting objects in images.

It’s no surprise that more and more people, from all kinds of backgrounds, are deciding to learn to code. But, each person who tackles the task is soon faced with an unpleasant reality: Learning to program is hard. Contrary to expectations, the feeling of “I don’t get it,” may persist unabated long into the journey, making once bright-eyed beginners feel hopeless, lost, and ready to give up.

The moral of the story is this: Be prepared. The path to programmer paradise is a long one, and without the right mindset at the beginning, it can quickly lose its appeal. In this article, I’ll attempt to give you some guidance on what to expect on your journey, how best to go about it, and what tools and resources you may find helpful along the way.

In product design, the jobs-to-be-done framework is a well-known approach that is designed to deconstruct the “job” a customer is trying to get done.

The long-term effect of the Cold War on science and technology is more profound than Nena’s 99 Luftbalons, or any Oliver Stone Vietnam flick.

If you are reading this, you’re already using Cold War technology; The Internet. That’s not all. A lot of tech and infrastructure we take for granted was developed, or at least conceived, during these tumultuous decades.

As design moves from target destinations to systems of interactive components, it’s important for designers to master creating products that adapt and can thrive in unpredictable contexts.