Algorithm

TikTok’s algorithm has helped revolutionize the way social media works—and compelled competitors like Meta to overhaul their own algorithms. However, even those within the company have said they don’t fully understand how the algorithm presents videos to users.Now researchers from the U.S. and Europe have uncovered some insights into how the much-vaunted algorithm operates, including the extent to which TikTok echoes users’ interests versus trying to expand the videos they watch.Karan Vombatkere at Boston University and…

Threads has to help users improve the algorithm that populates the For You feed. It’s reportedly called Algo Tune as, well, it helps people tune their algorithms. It’s pretty rare when any social media site, particularly one run by Meta, allows users to adjust the parameters by which the great and powerful algorithm operates, so this feature is definitely worth keeping an eye on.It works a lot like Tinder and other dating apps. If you don’t like something on your feed, you swipe left. If you like a post and want to see…

Midjourey, the popular generative artificial intelligence (AI)-powered image generation tool, has announced a new feature that will allow users to take a reference character and use it across multiple different images. The feature, called Character Reference, is currently in testing and only available on the Midjourney 6 (MJ6) and Niji 6 models. The feature is similar to the AI tool's existing Style Reference command but instead of the style of the image, it keeps the character of the image…

A method to balance multiple objectives for your recommendation outputContinue reading on Towards Data Science » A method to balance multiple objectives for your recommendation outputContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their…

The cybersecurity landscape necessitates continual adaptation and exploration of novel defensive strategies to counter the evolving threats posed by malicious actors. Machine learning (ML) has emerged as a powerful tool for bolstering cybersecurity, offering innovative approaches to anomaly detection, intrusion prevention, and threat identification. This article delves into the potential of ML in cybersecurity, examining its various applications and exploring its strengths and limitations while highlighting its…

The rapid evolution of generative AI, like GPT4 or Gemini, reveals both its power and the enduring challenge of bias. These advancements herald a new era of creativity and efficiency. However, they also spotlight the complex ways bias appears within AI systems, especially in generative technologies that mirror human creativity and subjectivity. This exploration ventures into the nuanced interplay between AI guardrails and human biases, scrutinizing the efficacy of these technological solutions in generative AI and…

Meta is revamping how Facebook recommends videos across Reels, Groups, and the main Facebook Feed, by using AI to power its video recommendation algorithm, Facebook head Tom Alison revealed on Wednesday. The world's largest social network has already switched Reels, its TikTok competitor, to the new engine, and plans to use it in all places within Facebook that show video — the main Facebook feed and Groups — as part of a "technology roadmap" through 2026, Alison said at a Morgan Stanley tech conference in San…

Amid complaints that its search results have declined in quality, Google is tweaking its algorithms to do a better job of weeding out spammy or automated content. The company says the ranking updates, arriving in May, will “keep the lowest-quality content out of search.” Of particular note, Google says its engine will be better at eradicating today’s automated (read: AI-generated) content that’s harder to spot.Google says it’s taking what it learned from a 2022 algorithmic tuneup to “reduce unhelpful, unoriginal content”…

Six methods to measure the effect of the number of neighbors on KNN model evaluationContinue reading on Towards Data Science » Six methods to measure the effect of the number of neighbors on KNN model evaluationContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners,…

Real-time machine learning refers to the application of machine learning algorithms that continuously learn from incoming data and make predictions or decisions in real-time. Unlike batch machine learning, where data is collected over a period and processed in batches offline, real-time ML operates instantaneously on streaming data, allowing for immediate responses to changes or events. Common use cases include fraud detection in financial transactions, predictive maintenance in manufacturing, recommendation systems in…