For many people around the world, Coca-Cola's much-loved'Holidays are Coming' advert marks the beginning of Christmas. First aired in 1995, the ad shows the soft drink giant's red delivery trucks emblazoned with lights making festive deliveries through a snowy landscape. Ever since, variations of the promo have arrived in the weeks leading up to Christmas - but now the company has made the biggest change yet. The new 16-second ad for 2024 has been developed solely using AI, meaning all the'actors' are not real people and none of the shots were filmed on location. While the firm claims the new commercial was an'efficient' way of saving time and money, fans are not impressed.

The next time you buy a car, it might not be from your standard dealership - it could be from an AI bot. The prediction comes from Johan Sundstrand, the CEO of the Swedish video-tech company Phyron - he believes the change could happen as soon as 2025. He said: 'It's only a matter of time before artificial intelligence (AI) is selling cars as effectively as a human salesperson. 'The speed at which self-learning software is developing and being embraced by retailers means that a fully competent AI-powered sales bot is as close as 18 months away.' Phyron is a Swedish video-tech company that have been developing the world's first fully automated AI-enhanced video solution for the automotive industry Phyron is a Swedish video-tech company that have been developing the world's first fully automated AI-enhanced video solution for the automotive industry. The unique AI software and its algorithms enable Phyron to create videos for car advertisements which can be used on brand or retailer websites, across social media channels and targeted email distribution.

It's back and here to ruin our savings and increase the gadgets in our homes. Yes, Amazon Prime Day isn't entirely about headphones, tablets and wearables, but for Engadget staff… well, it feels like it is. Prime Day deals on tech are typically only matched by Black Friday and Cyber Monday deals, making it a good time to pick up any devices you want – at a discount. In the past, the best devices often weren't given the Prime Day discount treatment, but this year has several things I not only bought myself but have recommended to friends and family. That includes $50 off the second-generation AirPods Pro (literally using them as I write this newsletter), last year's Kindle e-reader, down from $100 to $65 and, my pick for the best smartphone under $500, the Google Pixel 7a, now a dollar shy of $450.

You have probably read a lot about the major changes brought on by AI technology in recent months. Many people have called 2023 "the year of AI." Every day we hear new stories about miraculous breakthroughs caused by ChatGPT and other AI applications. For example, ChatGPT recently The Independent said that the technology is starting to show signs that it can think like humans. Some companies are interested in taking advantage of the benefits of existing AI tools like ChatGPT. However, others want more control over AI technology, so they are seeking to develop their own AI software.

With AI Buddy, you can provide an exceptional customer service experience, automate your sales process, and engage with your customers in real-time. AI Buddy is the ultimate chatbot solution for businesses of all sizes. Whether you're an entrepreneur, small business owner, or part of a large corporation, AI Buddy can help you streamline your sales process, save time, and increase your bottom line. Click here to learn more With AI Buddy, you can: 1. Automate your sales process: With AI Buddy, you can automate your sales process by providing a personalized customer service experience to your customers. AI Buddy can assist customers in making purchases, answer common questions, and even recommend products or services based on their preferences.

The advancements in Artificial Intelligence (AI) technology have been happening at an astonishing pace in recent years. The latest addition to this is the GPT-4, the fourth generation of the Generative Pretrained Transformer (GPT) language model developed by OpenAI. With its vast language and knowledge capabilities, GPT-4 is set to revolutionize the way enterprises operate, interact and communicate. GPT-4 will change business forever. GPT-4 is the latest version of OpenAI's Generative Pretrained Transformer (GPT) language model, which is a form of AI language generation model that uses deep learning techniques to generate human-like text.

Artificial Intelligence is taking the world by storm, especially with the latest tech hit, ChatGPT, going viral. If you haven't heard of or tried ChatGPT, it's a highly advanced artificial intelligence tool that you can use to ask any question, and in return, it will provide you with an intelligent, well-written answer back -- all within seconds. From writing essays to typing up software code, producing song lyrics to doing advanced calculations and more -- ChatGPT is fast becoming what Google was for search when it launched back in 1998. ChatGPT, though, is not the only advanced AI tool being developed. Tech giants, ranging from Google to Amazon, are also playing in this space and we can expect to see more tools hit the market in the months and years to come. However, there is also a more unseen, practical side of AI that has the potential to save hours of time and money for several industries and consumers.

Accurately predicting their future performance can ensure students successful graduation, and help them save both time and money. However, achieving such predictions faces two challenges, mainly due to the diversity of students' background and the necessity of continuously tracking their evolving progress. The goal of this work is to create a system able to automatically detect students in difficulty, for instance predicting if they are likely to fail a course. We compare a naive approach widely used in the literature, which uses attributes available in the data set (like the grades), with a personalized approach we called Personalized Student Attribute Inference (PSAI). With our model, we create personalized attributes to capture the specific background of each student. Both approaches are compared using machine learning algorithms like decision trees, support vector machine or neural networks.

With the rise of interest and the number of machine learning projects (self-driving car, facial recognition, recommendation systems), traditional software development has shifted from hard-coded rules to data-estimated rules a.k.a. A set of new challenges arose for building reliable and stable information systems that rely on imperfect data-driven models, such as model versioning, deployment, monitoring, explainability and reproducibility. There is a whole new set of software engineering best practices that comes with the use of data-driven models in order to tackle those challenges, called MLOps. In order to get a broader view of what MLOps is, I recommend you to take a look at Jamila's article: Why MLOps is so important to understand?. The main purpose of MLOps is to make your entire ML project lifecycle automated and reproducible.

Current software documentation practices don't adequately serve developers. The ultimate goal of software documentation is to help developers find and fix code quickly and efficiently. Still, in most cases, code comments are difficult to understand, incomplete, out of date and untrustworthy to many developers, often resulting in significant additional work and unintended business risks. Traditionally, supplying detailed documentation and comments in code can help developers quickly get the context surrounding the code they are working on, resulting in increased productivity. While documentation and comments are an important part of software engineering, poor or insufficient documentation is a widespread problem that can ultimately create more problems for developers and negatively impact the business.