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Home » AI/ML » Page 3

AI/ML

Artificial intelligence is a discipline belonging to computer science that studies the theoretical foundations, methodologies and techniques that allow the design of hardware systems and software program systems capable of providing the electronic processor with performances that, to a common observer, would seem to be of exclusive relevance of human intelligence.

Last update March 31, 2021 by Lorenzo Ermigiotti

How Synthetic Data Is Elevating the Future of AI

During the past decade, the rapid increase of computing and processing power has elevated artificial intelligence (AI) and machine learning (ML) to an all-time high. The constant improvement of this technology has taken the digital world by storm, … Read more

How to Implement Data Version Control and Improve Machine Learning Outcomes

Last update February 26, 2021 by Victorio Duran III

How to Implement Data Version Control and Improve Machine Learning Outcomes

It may surprise you to hear this, but machine learning is in something of a crisis.  In recent years, machine learning researchers have found it increasingly difficult to reproduce the findings made by algorithms. A key problem that has been … Read more

The State of AI in 2021

Last update January 13, 2021 by Cate Lawrence

The State of AI in 2021

We know that technology tends to move in hype cycles, where certain topics and terminology are bandied around in press releases, news articles, research, and funding announcements. These include Blockchain, ICO, IoT, as well as AI, Machine Learning … Read more

Machine Learning on the Network Edge

Last update January 11, 2021 by Mark Patrick, Mouser Electronics

The Rise of Machine Learning at the Network Edge

Over the past few months, I have shown you why machine learning at the network edge is so essential. In this final article, we look back at why machine learning is needed and look at some of the real-world cases where it has already been … Read more

Last update December 31, 2020 by John Allen

8 Techniques for Efficient Data Cleaning

Data is an essential part of data analytics, data security, and data science. That’s obvious. Sometimes, however, that data can get a little dirty. No, not like in a gangster film. More like where suddenly we are having to deal with ‘dirty data’ … Read more

Last update December 30, 2020 by Elea Andrea Almazora

5 Ways To Grow Your Business Through Data Monetization

Earning revenue through big data is a fast-growing industry that all businesses need to be a part of. With more than 2.5 quintillion bytes of data created every day, a good data monetization strategy is crucial for any business, including those … Read more

data scientist

Last update December 4, 2020 by Richard Conn

7 Key Differences Between Data Analytics and Data Mining

With every second we spend online, mountains of data is generated. For every social media post, Google search, and link clicked, there is a way in which our activity can be collected for data. Experts within the data science field can utilize this, … Read more

Last update November 30, 2020 by Mark Patrick, Mouser Electronics

The Future of Machine Learning at the Edge

Over the last few months, I have shown you how Machine Learning at the edge is improving our lives. I also shared some practical examples to give you a chance to try it for yourselves. In this article, I look at the current limitations of edge ML and … Read more

data visualization

Last update November 27, 2020 by John Allen

5 Rules of Engagement When it Comes to Data Visualization

So you’ve been out, you’ve conducted the surveys, you’ve collected a giant pot of data that unequivocally demonstrates your position and now it’s time to present. How do you do it? Well you could just dump the raw spreadsheet at the desk of your … Read more

Last update November 24, 2020 by Cate Lawrence

Ludwig Toolbox Makes Deep Learning Accessible to All

The last decade has seen exponential growth in deep learning capabilities and their application in research and development. Traditionally deep learning as a discipline has been limited to those with considerable training and knowledge of machine … Read more

AI Ladder

Last update November 10, 2020 by Vito Gentile

AI Ladder: the IBM Approach to Artificial Intelligence

TIME TO UPGRADE YOUR APPLICATION ESTATE?Tackle Modernization and Cloudification - on November 19th  2020, 10:00 am (GMT+1)The Cloud and AI Forum is an opportunity to learn how Italian Executive & Technical Leaders introduced data efficiency, … Read more

chatbot

Last update November 6, 2020 by Cate Lawrence

Questions and Answers in Virtual Assistants

The typical customer care virtual assistant (aka chatbot) can answer simple questions and maybe even perform some actions. But we need chatbots that really help solve customer problems instead of disappointing them with a “Sorry, I don't know.” When … Read more

AI Ethics

Last update November 4, 2020 by Cate Lawrence

The Challenge of Ethics in AI

We often hear the notion of ethics in AI thrown around with research such as autonomous cars and 'the trolley problem. An example is the creation of MIT's The Moral Machine, a platform for gathering a human perspective on moral decisions made by … Read more

mouser voice control

Last update November 2, 2020 by Mark Patrick, Mouser Electronics

Voice Control: Building Your Voice Assistant

Voice control was the stuff of science fiction throughout the 20th Century. But in the last two decades, voice control has entered the mainstream. Voice assistants like Siri and Alexa are embedded in home devices, headphones, and even … Read more

genetic algorithms AI

Last update October 28, 2020 by Cate Lawrence

Want to Learn about Genetic Algorithms? Start Life Hacking

It’s often hard to motivate ourselves to learn new tech - whether a new coding language or algorithm - when it’s not essential to our job. Tech not only moves fast, but it’s easy to get overwhelmed by the plethora of documentation, tutorials, and … Read more

data analyst

Last update October 20, 2020 by Lorenzo Ermigiotti

What Are the Main Areas of Development for a Data Analyst’s Career?

Data analysts manipulate data and use it to help organisations make wise business decisions. They gather information from the data regarding specific aspects, interpret, analyse and share their findings with other stakeholders in the organisation … Read more

image recognition

Last update October 12, 2020 by Mark Patrick, Mouser Electronics

Seeing Is Believing: Image Recognition on a €10 MCU

This series is exploring the rationale for moving machine learning to the network edge. This article looks in more detail at image recognition, one of the prime use cases for ML at the edge. As explained in previous articles, there are many use … Read more

machine learning math LIME

Last update October 7, 2020 by Denis Rothman

Exploring LIME Explanations and the Mathematics Behind It

The expansion of artificial intelligence (AI) relies on trust. Users will reject machine learning (ML) systems they cannot trust. We will not trust decisions made by models that do not provide clear explanations. An AI system must provide clear … Read more

ai finance

Last update October 5, 2020 by Cate Lawrence

How AI Can Help Solve the Challenges of Economic and Financial Inequality

Table Of ContentsWhy AI for tax policies?Economic AI Simulation as a Learning EnvironmentCritical collaboration in response to social and economic challenges  Disciplines such as machine learning, data science, and AI are heavily steeped in … Read more

ML at the edge

Last update September 7, 2020 by Mark Patrick, Mouser Electronics

ML at the Edge: a Practical Example

Machine learning is the primary methodology for delivering AI applications. In previous articles, I discussed the main reasons behind moving machine learning to the network edge. These include the need for real-time performance, security … Read more

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