Researchers have utilized machine learning, specifically “computer vision”, to analyze Xray movies of rechargeable lithiumion battery electrodes[^1^]. By examining each pixel in these movies, the researchers aim to uncover physical and chemical details that were previously unseen, potentially improving the efficiency of charge storage and release.
Intellectual property has been a topic of debate for at least five centuries. Each new wave of technology or creativity leads to new arguments surrounding intellectual property rights. We have experienced discussions on performance rights for composers, the protection of photography as art, and copyright issues in the 20th century relating to recorded music, VHS, and sampling. Generative AI now presents fresh questions to consider.
The MIT Stephen A. Schwarzman College of Computing has funded seven interdisciplinary projects through seed grants that explore artificial intelligence (AI) and humancomputer interaction in modern workspaces. The projects, funded by Andrew W. Houston ’05 and Dropbox Inc., aim to improve management and productivity by combining computing, social sciences, and management research. The results of these projects have the potential to kickstart larger efforts in this rapidly evolving area and develop a community centered around AIaugmented management.
Over the past couple of years, YouTube has been rolling out new tools to help brands and creators convert longform content into short, engaging videos. With platforms like TikTok and Instagram Reels gaining popularity, it’s no surprise that YouTube has introduced its own shortform video feature, YouTube Shorts. In 2023, the platform extended the capabilities of its tools, essentially combining the Clips and Remix features and making shortform content creation even more accessible and efficient.
Google Analytics has been a staple for digital marketers and website owners for years. With the introduction of Google Analytics 4 (GA4), it’s time to explore this new version and assess its potential impact on internet marketing. In this article, we’ll delve into the key features of GA4 and discuss its reception among the marketing community.
In a world where the internet is flooded with content of varying quality, BuzzFeed’s CEO Jonah Peretti promised to hold AIgenerated content to a high standard. Peretti expressed his concern about the use of AI technology for cost savings, resulting in lower quality, SEOdriven articles that couldn’t measure up to humanwritten journalism. Despite the “depressing and dystopian” path of content farming, Peretti remained hopeful that highquality AIgenerated content would prevail.
Recently, Amazon has been flooded with generic, lowquality, and potentially AIgenerated travel guides, which have sprouted in great numbers. According to *The New York Times*, these sham guides are often advertised as being written by renowned travel authors. Scammers go to the extent of faking 5star reviews to mislead potential customers. The low pricing of these guides makes them tempting for Amazon users, who are left disappointed with the subpar content they receive.
It’s no secret that Google Analytics 4 (GA4) has been a challenging transition for marketers. Despite the wealth of support tools and resources provided during the twoyear transition period, many are still struggling to understand the new platform. But fear not, GA4 does come with its own set of advantages, making some tasks easier while enabling new possibilities. Let’s dive into what you gain and lose with GA4.
As search engines evolve to align generation outputs with search and information retrieval intent, content teams should focus on creating content that showcases expertise throughout the buyer, customer, and information journey. Elite teams see these potential search result page real estate as a parallel optimization challenge, similar to map packs, Knowledge Graphs, and other SERP features.
Recent research by UCLA psychologists reveals that the artificial intelligence language model GPT3 astonishingly performs almost as well as college undergraduates when it comes to solving reasoning problems, typically found on intelligence and standardized tests like the SAT. The findings, published in Nature Human Behaviour, have raised questions about GPT3’s cognitive processes and whether it is truly mimicking human reasoning or using a fundamentally new approach.