Scientist Will Test New Cancer-Hunting Treatment Made With AI

Strand Therapeutics leverages Artificial Intelligence to design genetic circuits, the intricate regulatory networks governing mRNA behavior. These circuits act like tiny computers within cells, dictating when and where the mRNA produces proteins to target cancer cells. Designing such circuits is no easy feat, and that's where AI comes in. Strand's AI algorithms mine vast datasets…

ByDavid HurtadoFebruary 26, 20240Comments

Artificial Intelligence Computer Vision

Supervised Learning in Computer Vision: What is it and how is it used?

Table of Contents Ever wonder how Netflix recommends your next binge-worthy show, or how spam filters keep your inbox pristine? It's not magic, it's supervised machine learning, a powerful tool quietly shaping our digital world. While the term might sound intimidating, the core concept is surprisingly approachable. In fact, a staggering 67% of companies leverage…

ByDavid HurtadoFebruary 26, 20240Comments

Computer Vision

What is Computer Vision? Applications & Uses

Table of Contents Ever scroll through your phone's gallery and marvel at the automated smile detection or the lightning-fast image search? That, my friend, is the magic of computer vision – the technology allowing machines to "see" and understand our world like never before. But behind the seemingly effortless filters and social media trends lies…

ByLinda SavageFebruary 26, 20240Comments

Computer Vision

What Are Computer Vision Services?

Table of Contents What role does computer vision play in AI? There are many types of AI services – from chatbots, to machine learning and deep learning applications, and computer vision is one of those subsets. Like other types of AI, computer vision automates tasks that replicate human capabilities – in this case, sight. Leveraging…

ByDavid HurtadoFebruary 26, 20240Comments

Artificial Intelligence Data Labeling Deep Learning

Not All Data Labeling is Created Equal

The Difference Between Data and Good Data Not all data labeling is created equal. Although data labeling is considered an uninteresting aspect of AI development, it is a crucial part of the process for developing AI. Artificial Intelligence development can be divided into 4 key stages. There is the design phase, the data collection phase,…

ByCarlos MeléndezJanuary 20, 20220Comments

Artificial Intelligence Careers Text Mining & Analysis

The Next-Generation of Data Scientists Requires a New Approach

In the recently published Forbes Tech Council article, “Just when A Data Scientist Has It All Figured Out, The Rules Change,” I had the opportunity to discuss the evolution of Artificial Intelligence and the future prospects for rising data scientists. In the article, I presented some statistics from The Bureau of Labor Statistics that reinforces…

ByCarlos MeléndezOctober 25, 20210Comments

Artificial Intelligence Careers Text Mining & Analysis

What Are the Soft Skills that Data Scientists Need to Build Effective AI Solutions?

I recently explored the changing requirements of today’s data scientists in a Forbes Technology Council article. While it traditionally has not been the focus, today, soft skills are just as important as technical prowess. Since AI deals with real-world problems impacting people, communication skills and empathy are the traits that companies want to see in…

ByCarlos MeléndezJuly 30, 20210Comments

Artificial Intelligence Machine Learning Text Mining & Analysis

4 Ways to Improve Machine Learning Models

When working on artificial intelligence models, you may feel like you are standing on the shoulders of giants. Improve machine learning models is one of the most challenging tasks for a data scientist and it requires a lot of experimentation and testing. Different optimization techniques can be applied to different types of models. For example,…

ByIsraelDecember 17, 20200Comments

Understanding Data, Analytics and Insights

AI Bootcamp Artificial Intelligence Service Design

Understanding Data Insights and Analytics

Improving the customer experience and creating impact with products centered around human values require organizations to move beyond traditional data and analytics strategies to lay the foundation for insights-driven change. To build an organization that maximizes the values of multidisciplinary teams, diverse data sources and omni-channel support, it’s important to strip the insight-generation process to…

ByCarmenOctober 23, 20200Comments

Outsourcing & Nearshoring: What are they?

AI Bootcamp Artificial Intelligence Service Design

A New Set of Guiding Principles for Data Science Project Management

What Has Not Changed The number of companies around the globe that are adopting artificial intelligence (AI) multiplies every year. Given this trend, data scientists are in high demand and specializations like natural language processing (NLP) and deep learning are becoming increasingly important. Despite the shortage of AI talent, companies cannot ignore the role of…

ByCarmenJuly 29, 20200Comments

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