Articles about Artificial Intelligence

Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms.

The book covers in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters.

Continue reading →

Agile decision-making is often hampered by the volume and complexity of unstructured data. That’s where AI can help.

In 2022, the U.S. Congress passed the Inflation Reduction Act (IRA), which allocated billions in investment to clean energy. This set off a race among private equity and credit firms to identify potential beneficiaries -- the companies throughout the clean energy supply chain that may need additional capital to take advantage of the new opportunities the IRA would create. It turned out to be quite a data challenge.

Continue reading →

AI + The New Human Frontier: Reimagining the Future of Time, Trust + Truth by Erica Orange, a renowned futurist, offers a compelling exploration of generative AI's potential to enhance human creativity rather than replace it. This pivotal book navigates how AI tools will help shape the human experience, and aid in augmenting human ingenuity and imagination.

The author eloquently argues that the essence of human intelligence -- our curiosity, critical thinking, empathy, and more -- is not only irreplaceable but will become increasingly valuable as AI evolves to take on routine tasks. AI + the New Human Frontier is a clarion call for embedding trust, human oversight and judgement into AI development, ensuring that the technology amplifies our most human capabilities. At a time when the lines between what is real, fake, true and false are becoming more blurred, reliance on human-centric solutions, not just technological ones, will become more critical.

Continue reading →

Worldwide spending on chatbots is expected to reach $72 billion by 2028, up from $12 billion in 2023, and many organizations are scrambling to keep pace. As companies race to develop advanced chatbots, some are compromising performance by prioritizing data quantity over quality. Just adding data to a chatbot’s knowledge base without any quality control guardrails will result in outputs that are low-quality, incorrect, or even offensive.

This highlights the critical need for rigorous data hygiene practices to ensure accurate and up-to-date conversational AI software responses.

Continue reading →

KT Corporation and Microsoft have entered into a five-year partnership focusing on artificial intelligence (AI), cloud technologies, and IT business development. The collaboration includes both a financial investment from KT and resource support from Microsoft, with the aim of advancing AI services and innovation in South Korea.

As part of the partnership, the two companies will focus on five key areas, including the development of customized AI solutions for Korea. This effort will involve creating tailored versions of Microsoft’s GPT-4 and small language models using KT’s data. These AI models will be used in a variety of applications, including customer service chatbots and industry-specific solutions for businesses.

Continue reading →

Large-language models (LLMs) and other forms of generative AI are revolutionizing the way we do business. The impact could be huge: McKinsey estimates that current gen AI technologies could eventually automate about 60-70 percent of employees’ time, facilitating productivity and revenue gains of up to $4.4 trillion. These figures are astonishing given how young gen AI is. (ChatGPT debuted just under two years ago -- and just look at how ubiquitous it is already.)

Nonetheless, we are already approaching the next evolution in intelligent AI: agentic AI. This advanced version of AI builds upon the progress of LLMs and gen AI and will soon enable AI agents to solve even more complex, multi-step problems.

Continue reading →

Today, 37 percent of respondents said their companies were fully prepared to implement AI, but looking out on the horizon, a large majority (86 percent) of respondents said that their AI initiatives would be ready by 2027.

In a recent Riverbed survey of 1,200 business leaders across the globe, 6 in 10 organizations (59 percent) feel positive about their AI initiatives, while only 4 percent are worried. But all is not rosy. Senior business leaders believe there is a generational gap in the comfort level of using AI. When asked who they thought was MOST comfortable using AI, they said Gen Z (52 percent), followed by Millennials (39 percent), Gen X (8 percent) and Baby Boomers (1 percent). 

Continue reading →

When the European Commission proposed the first EU regulatory framework for AI in April 2021, few would have imagined the speed at which such systems would evolve over the next three years. Indeed, according to the 2024 Stanford AI Index, in the past 12 months alone, chatbots have gone from scoring around 30-40 percent on the Graduate-Level Google-Proof Q&A Benchmark (GPQA) test, to 60 percent. That means chatbots have gone from scoring only marginally better than would be expected by randomly guessing answers, to being nearly as good as the average PhD scholar.

The benefits of such technology are almost limitless, but so are the ethical, practical, and security concerns. The landmark EU AI Act (EUAIA) legislation was adopted in March this year in an effort to overcome these concerns, by ensuring that any systems used in the European Union are safe, transparent, and non-discriminatory. It provides a framework for establishing:

Continue reading →

The question of how to train and improve AI tools is one that triggers fierce debate, and this is something that has come into sharp focus as It becomes clear just how Meta is teaching its own artificial intelligence.

The social media giant is -- perhaps unsurprisingly to many -- using data scrapped from Facebook and Instagram posts, but only in Australia. Why Australia? Unlike Europe where General Data Protection Regulation (GDPR) necessitated Meta to give users a way to opt out of having their data used in this way, Australia has not been afforded this same opportunity. What does this mean?

Continue reading →

AI is revolutionizing the landscape of software development, but it isn’t about replacing human developers. Instead, we are entering an era of “AI-augmented development,” where AI tools are becoming invaluable allies, enhancing human abilities across the software lifecycle. AI will help close the gap between the high demand for custom software and the limited engineering capacity worldwide.

In this new paradigm, AI is stepping in to assist with repetitive and time-consuming tasks, allowing developers to focus on more complex problems. The evolution of software teams will include a new breed of AI-native developers specializing in integrating AI into applications and leveraging AI tools. With AI, the potential productivity boost for developers is extraordinary, allowing them to work faster and smarter. However, while AI can amplify a developer's capabilities, it cannot replace the human creativity, problem-solving, and decision-making that are essential to successful software development. The future belongs to teams that can skillfully blend AI with human expertise.

Continue reading →

Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs.

In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society. Professionals, technophiles, and anyone with an interest in the future will need to understand how GenAI is set to redefine jobs, revolutionize business, and question the foundations everything we do.

Continue reading →

Any leading large language model will do. To succeed with retrieval-augmented generation, focus on optimizing the retrieval model and ensuring high-quality data. 

The decades-long pursuit to capture, organize and apply the collective knowledge within an enterprise has failed time and again because available software tools were incapable of understanding the noisy unstructured data that comprises the vast majority of the enterprise knowledge base. Until now. Large language models (LLMs) that power generative AI tools excel at processing and understanding unstructured data, making them ideal for powering enterprise knowledge management systems.

Continue reading →

Alludo has announced the release of Parallels Desktop 20.0 for Mac. Available in Standard, Pro, Business and -- new to version 20 -- Enterprise editions, the virtualization software makes it easy for Mac users to run Windows, macOS and Linux virtual machines on their desktop.

Version 20’s headline new feature is the Parallels AI Package add-on for Business, Enterprise and -- until the end of the year -- Pro users running Macs with Silicon hardware. This provides access to AI-ready virtual machines to aid in development.

Continue reading →

The internet was a massive, revolutionary invention. A once-in-a-lifetime breakthrough. And yet, it was not an overnight sensation in terms of consumer adoption. This may surprise some people today. From the early web browsers in 1992 to the explosion of dot-coms in 1998, it took roughly six years for the general public to truly embrace the world wide web. Fast forward to today, and the landscape has dramatically shifted.

Consider the recent phenomenon of ChatGPT, the large language model chatbot launched by OpenAI in late 2022. Within a year, consumer adoption of this AI technology reached a fever pitch. For a while, it was all anyone in tech and business circles could talk about. In fact, they still are. This highlights a critical difference in our current technological era, which is that innovation is happening and being adopted at an unprecedented pace.

Continue reading →

Despite the importance and timely arrival of the EU AI Act, there remain some major compliance concerns and the impact it will have on AI adoption and governance strategies. In fact, a recent survey found that having the proper AI governance in place is a top priority for 41 percent of business decision-makers. However, around one-quarter of UK firms have yet to make preparations for AI, and this is partly due to lingering confusion over their obligations. 

Yet, the requirements set out by the Act are specific, particularly for “businesses or public authorities that develop or use AI applications that constitute a high risk for the safety or fundamental rights of citizens.” This high-risk category can include anything from law enforcement and employment systems to those used by life sciences and critical infrastructure organizations. 

Continue reading →