Search results for "Artificial Intelligence"

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.

Why do we still use buttons in our user interfaces? Technology has come so far and offers so many possibilities, there is no longer any reason to force our users to click the tiny rectangles we call “buttons.”

In this article, Toptal Freelance Software Engineer Neven Pičuljan introduces you to the intricacies of deep learning in hedge funds and finance in general.

In the last Super Bowl when the New England Patriots faced off against the Philadelphia Eagles, Americans bet a staggering $4.76 billion on the game. 97% of that figure was done so illegally. However, this will likely change by the time the next Super Bowl rolls around. In a hotly anticipated move on May 14, 2018, the US Supreme Court struck down the Professional and Amateur Sports Protection Act, paving the way for states to legalize sports betting.

This article covers the foundations of sports betting, including its $150 billion market size, implementation timeline, and revenue distribution. It will also examine the implications of its legalization, including increased sports engagement and popularity, ethical concerns, fresh opportunities, and its impact on fantasy sports and eSports.

The field of robotics has seen incredible strides forward in recent years. As a result of improvements in computer vision, dexterity and also overall economics, use of robots has increased in a variety of different fields. However, most of the growth in robotics so far has happened in industrial applications, and thus hidden from the view of the general public. But is this about to change?

In this article, Toptal Finance Expert Francesco Castellano focuses on the commercial robotics market. Thanks to recent breakthroughs in the fields of AI, mechatronics, sensors, and batteries, service and commercial robots are likely to see tremendous growth and adoption, likely heralding a new robotics revolution that could transform our daily lives in countless ways.

Clustering algorithms are very important to unsupervised learning and are key elements of machine learning in general. These algorithms give meaning to data that are not labelled and help find structure in chaos. But not all clustering algorithms are created equal; each has its own pros and cons.

In this article, Toptal Freelance Software Engineer Lovro Iliassich explores a heap of clustering algorithms, from the well known K-Means algorithm to the elegant, state-of-the-art Affinity Propagation technique.