The EU should move on from'outdated' debates over front-of-pack labelling and instead focus on tailor-made technological solutions for the future of nutrition, experts told a recent panel – but critics say this privileges only the richest in society. The European Commission is expected to put forward its proposal for an EU-wide nutritional labelling system in early 2023. The current front runner is the Nutriscore, a controversial colour-coded system championed by France which ranks food from A to E. The score has proven divisive, especially among stakeholders in Europe's South, who argue the score penalises the Mediterranean diet. But, for Pietro Paganini, co-founder of the EU think-tank Competere, the debate is redundant. Instead, efforts should focus on technological developments and personalised diets rather than'old outdated system[s]' such as front-of-pack nutritional labelling.

There are many posts on KDnuggets covering the explanation of key terms and concepts in the areas of Data Science, Machine Learning, Deep Learning, Big Data, etc. In fact, it's one of the tasks that KDnuggets takes quite seriously: introducing and clarifying concepts in the minds of new and seasoned practitioners alike. In many of these posts, concepts and terminology are often expounded upon and fit into The Big Picture, sometimes miring down the key concept in exchange for defining some greater notion. This is the first in a series of such posts on KDnuggets which will offer concise explanations of a related set of terms (machine learning, in this case), specifically taking a no-frills approach for those looking to isolate and define. So, let's start with a look at machine learning and related topics.

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours--no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching.

In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. You will also learn to apply hyperparameter tuning and cross-validation strategies to improve model performance. NOTE: This is the third and final course in the Data Science with Databricks for Data Analysts Coursera specialization. To be successful in this course we highly recommend taking the first two courses in that specialization prior to taking this course.

The threat of cyber attacks has recently increased dramatically and traditional measures now appear to be insufficiently competent. Because of this, deep learning in cyber security is rapidly gaining ground and may hold the key to solving all your cybersecurity issues. With the advent of technology, there is also an increase in threats to data security and the need to protect an organization's operations using cybersecurity tools. However, companies are struggling due to most cybersecurity tools being dependent. They rely on signatures or evidence of compromise for the threat detection capabilities of the technologies they use to safeguard their business.

NextGen Healthcare, a leading provider of innovative cloud-based healthcare technology solutions, announced it has signed a definitive agreement to acquire TSI Healthcare, a privately held value-added reseller located in Chapel Hill, NC. The acquisition shall be deemed effective 11:59 p.m. on November 30, 2022. The consideration is comprised of an upfront amount of $68 million, which will be paid in cash with contingent consideration of up to $22 million in cash in the form of an earnout, subject to achieving certain financial targets through March 31, 2025. The acquisition is expected to contribute approximately $10 to 12 million of revenue in the remaining four months of fiscal 2023 and will be accretive to adjusted EBITDA and cash flow within a year. The company plans to update guidance when it reports its fiscal 2023 third quarter results.

Xoxoday, a global SaaS Fintech company known for its rewards, engagement, and loyalty infrastructure for businesses, announced a technology partnership with UKG, a leading provider of HR, payroll, & workforce management solutions. This will help organizations and HR leaders elevate the workplace experience through a holistic employee engagement approach that connects, aligns, empowers, & motivates teams. This partnership helps solve significant new-age crises of disengagement and attrition by focusing on employee experience. While UKG helps streamline human capital management and HR service delivery, Xoxoday Empuls helps drive multi-dimensional employee engagement. The partnership also aims to address challenges brought about by the'Great Resignation' by attracting and retaining top talent, maximizing ROI from every business' biggest resource – their people.

Further demonstrating the power of artificial intelligence when it comes to photorealistically altering footage, researchers from Disney have revealed a new aging/de-aging tool that can make an actor look convincingly older or younger, without the need for weeks of complex and expensive visual effects work. When watching a blockbuster movie like 2018's Ant-Man and the Wasp, most viewers can easily spot the work of the many visual effects studios that contribute to these films, what with their flashy moments when Ant-Man shrinks or grows to gigantic proportions. But it's sometimes the more subtle VFX work that can be the hardest to achieve photorealistic results with, like the shots featuring younger versions of actors Michelle Pfeiffer and Michael Douglas. To get results like those seen in the movie, talented artists either need to spend weeks erasing wrinkles and other telltale signs of age from an actor's face, or entirely replace it with a computer-generated double. Visual effects are a powerful filmmaking tool, but there are plenty of reasons to find ways to make them easier to create; from lightening the load on already over-worked and underpaid artists, to making the tools accessible to filmmakers not working with immense Hollywood-sized budgets.

Artificial intelligence has infiltrated countless industries -- from AI-powered art to language processing. Now, AI technology might have promising potential for the medical world. At the annual meeting of the Radiological Society of North America, researchers shared preliminary findings on the use of artificial intelligence in predicting the 10-year risk of death from a heart attack or stroke -- all with a single chest X-ray. The researchers used about 150,000 chest X-rays to train AI to recognize risk patterns associated with severe cardiovascular events. They then tested the technology on about 11,000 people and found a "significant association" between real-life cardiovascular events and risks predicted by the AI.

While artificial intelligence (AI) promises faster and smarter decision making, the Actuaries Institute and the Australian Human Rights Commission (AHRC) worry about potential discrimination and highlight the need to prevent this. To address the issue, they created a Guidance Resource designed to help insurers and actuaries to comply with the federal anti-discrimination legislation when AI is used in pricing or underwriting insurance products. The guidance was developed after a 2021 report by the AHRC that looked at the human rights impacts of new and emerging technologies, including AI-informed decision making. The Actuaries Institute strongly supported the report's recommendations to develop a set guidelines for use by the government and non-government organisations on complying with federal antidiscrimination laws when AI has been used in decision making. It approached the AHRC with a collaboration offer and together they developed these guidelines.