Tag

Algorithms

All articles tagged with #algorithms

Regulating AI and Algorithms: California's New Antitrust Challenges

Originally Published 2 months ago — by Quanta Magazine

Featured image for Regulating AI and Algorithms: California's New Antitrust Challenges
Source: Quanta Magazine

The article explores how algorithms used in pricing can inadvertently collude and drive up prices, making regulation challenging. It discusses recent research showing that even benign algorithms can lead to high prices and highlights the complexities of regulating algorithmic behavior in markets, emphasizing the subtlety of strategic interactions and the potential for unintended outcomes.

Innovative Algorithms Boost Machine Learning Efficiency with Symmetric Data

Originally Published 5 months ago — by MIT News

Featured image for Innovative Algorithms Boost Machine Learning Efficiency with Symmetric Data
Source: MIT News

MIT researchers have developed the first provably efficient algorithm for machine learning with symmetric data, which can improve model accuracy and reduce resource requirements by effectively incorporating symmetry into the training process, with applications spanning from drug discovery to climate analysis.

Memory Outperforms Time as the Key Resource for Algorithms

Originally Published 6 months ago — by WIRED

Featured image for Memory Outperforms Time as the Key Resource for Algorithms
Source: WIRED

Williams proved a groundbreaking theoretical result showing that algorithms using less space can solve all problems solvable with more time, and established a quantitative gap between the power of space and time, advancing understanding in computational complexity and challenging long-held assumptions.

Why Last.fm Outshines Spotify Wrapped in 2024

Originally Published 1 year ago — by The Guardian

Featured image for Why Last.fm Outshines Spotify Wrapped in 2024
Source: The Guardian

The article discusses the author's preference for Last.fm over Spotify Wrapped for tracking music listening habits. While Spotify Wrapped is criticized for its AI-driven, marketing-focused presentation, Last.fm offers a straightforward, data-focused archive of listening history. The author appreciates Last.fm's ability to provide meaningful insights into personal music tastes and experiences, contrasting it with Spotify's commercial approach. The piece also highlights the importance of personal agency in music consumption, encouraging listeners to explore beyond algorithm-driven recommendations.

China Intensifies Scrutiny on Big Tech's Algorithm Practices

Originally Published 1 year ago — by The Register

Featured image for China Intensifies Scrutiny on Big Tech's Algorithm Practices
Source: The Register

China's Cyberspace Administration is launching a campaign to curb internet echo chambers and discriminatory pricing algorithms. The initiative aims to prevent tech companies from using recommendation algorithms to create 'information cocoons' and to ensure transparency in content ranking. The directive also targets discriminatory pricing in e-commerce, requiring platforms to avoid pricing based on personal factors and to disclose algorithmic processes. Businesses have until the end of the year to comply, with assessments beginning in January.

Researchers Develop Optimal Map Navigation Algorithm

Originally Published 1 year ago — by WIRED

Featured image for Researchers Develop Optimal Map Navigation Algorithm
Source: WIRED

Researchers have proven that a version of Dijkstra's algorithm, a classic path-finding method developed in 1956, is the best approach for solving the single-source shortest-paths problem across any street grid, assuming worst-case traffic patterns. This algorithm, which is a staple in computer science education, has been shown to be universally optimal, meaning it performs best on every possible network layout. The breakthrough was achieved by focusing on the data structure used in the algorithm, leading to a simpler and more efficient design.

Facebook's AI Misjudges English Community's Intentions

Originally Published 1 year ago — by Gizmodo

Featured image for Facebook's AI Misjudges English Community's Intentions
Source: Gizmodo

Residents and businesses in Coulsdon, England, have faced Facebook censorship due to the platform's algorithms misinterpreting the 'LSD' in the town's name as a drug reference. Despite complaints, the issue persisted until Facebook's parent company, Meta, acknowledged and fixed the error. This incident highlights ongoing challenges with Facebook's algorithmic content moderation, which has previously led to similar errors, such as censoring posts about Plymouth Hoe and wildfire safety information.

New York to Restrict Social Media Algorithms for Teens

Originally Published 1 year ago — by CNN

Featured image for New York to Restrict Social Media Algorithms for Teens
Source: CNN

New York is close to passing a law that would restrict social media platforms from using algorithms to promote content to minors, requiring parental consent for algorithmically generated feeds. The legislation also aims to protect children's privacy by limiting data collection and sharing for users under 18. The proposed laws would allow parents to set stricter limits on their children's social media use and notifications. This move has faced significant tech industry lobbying and legal challenges in other states.

"BBC Boss Warns of Threat to British Storytelling from US & Chinese Algorithms, Looks for Commercial Deals to Reboot"

Originally Published 1 year ago — by Deadline

Featured image for "BBC Boss Warns of Threat to British Storytelling from US & Chinese Algorithms, Looks for Commercial Deals to Reboot"
Source: Deadline

BBC Director General Tim Davie will warn in a speech that British storytelling is at risk of being overshadowed in the global media landscape, with U.S. and Chinese algorithms potentially becoming future taste-makers. He plans to outline strategies for the BBC to transform and renew, including integrating online services, investing in UK content, and boosting commercial income through partnerships. Davie emphasizes the BBC's vital role for the UK and will discuss these plans in detail with the organization's divisions ahead of the Annual Plan.

"Proposed Legislation Allows Defendants to Review Courtroom Algorithms"

Originally Published 1 year ago — by The Verge

Featured image for "Proposed Legislation Allows Defendants to Review Courtroom Algorithms"
Source: The Verge

Democratic lawmakers reintroduced the Justice in Forensic Algorithms Act, which would allow defendants in criminal trials to access the source code of software used to analyze evidence and require the National Institute of Standards and Technology to create testing standards for forensic algorithms. The bill aims to address potential biases and limitations in technology used in criminal proceedings, emphasizing the need for defendants to question the technology and ensuring their due process rights. While the bill does not yet have Republican co-sponsorship, the lawmakers are optimistic about bipartisan support.

"Breaking Boundaries: Advancements in Solving Seminal Problems Reach New Speed Limit"

Originally Published 1 year ago — by Quanta Magazine

Featured image for "Breaking Boundaries: Advancements in Solving Seminal Problems Reach New Speed Limit"
Source: Quanta Magazine

Researchers have made a significant breakthrough in the computational efficiency of integer linear programming (ILP) by tightening the upper bound on the covering radius, achieving a dramatic speedup of the overall ILP algorithm. This advancement brings the runtime to (log n)O(n), where n is the number of variables, marking a triumph at the intersection of math, computer science, and geometry. While the new algorithm has not yet been applied to solve logistical problems due to the effort required to update existing programs, it represents a major theoretical advancement with fundamental applications. Further improvements in computational efficiency would necessitate fundamentally new ideas.

"Exploring 'Filterworld' by Kyle Chayka: A Critical Review"

Originally Published 2 years ago — by NPR

Featured image for "Exploring 'Filterworld' by Kyle Chayka: A Critical Review"
Source: NPR

In his new book "Filterworld," New Yorker writer Kyle Chayka argues that algorithms have "flattened culture" by promoting the least disruptive and least meaningful pieces of culture, eroding personal taste and turning it into consumerism. Chayka advocates for depending more on word-of-mouth recommendations and cultivating personal taste through time and effort, but his argument feels unhelpful in addressing the larger problem of tech monopolies and discriminatory practices. While successful in documenting the frustrating impact of algorithms on modern life, Chayka's focus on "taste" seems to overlook the broader issues of power and profit within the capitalist system.

"AI Experts Reveal 6 Groundbreaking Innovations of 2023, Making it a Landmark Year"

Originally Published 2 years ago — by Quanta Magazine

Featured image for "AI Experts Reveal 6 Groundbreaking Innovations of 2023, Making it a Landmark Year"
Source: Quanta Magazine

In 2023, computer scientists made significant discoveries in various areas of computer science. Artificial intelligence (AI) models, such as large language models, demonstrated improved text and art generation capabilities. Progress was made in understanding the "P versus NP" problem, one of the oldest problems in computer science. Quantum computing saw advancements with an upgraded version of Shor's algorithm. Researchers also explored the intersection of cryptography and AI, uncovering hidden vulnerabilities and messages. Additionally, new algorithms were developed for solving mathematical problems and improving image generation. The field of AI also saw the emergence of hyperdimensional computing as a potential alternative to traditional neural networks.

The Influence of Popularity on Dating Apps

Originally Published 2 years ago — by EurekAlert

Featured image for The Influence of Popularity on Dating Apps
Source: EurekAlert

A study conducted by researchers at Carnegie Mellon University and the University of Washington has found that online dating platforms have a popularity bias in their recommendation algorithms, favoring more popular and attractive users over less popular ones. The study analyzed data from over 240,000 users of a major online dating platform in Asia and found that a user's chance of being recommended increased as their average attractiveness score went up. The researchers suggest that platforms should be more transparent about their algorithms and that further research is needed to balance user satisfaction, revenue goals, and ethical algorithm design.