Our accustomed systems of retrieving particular bits of information no longer fill the needs of many people. Searching traditional indexes of print publications has been aided by computerized databases, but still usually requires time-consuming serial searching of one database after the other, and then moving on to other methods of searching for internet sources. And what if the information being sought is a sound byte? A video clip? Yesterday's e-mail exchange between respected scientists? Artificial intelligence may hold the key to information retrieval in an age where widely different formats contain the information being sought, and the universe of knowledge is simply too big and growing too rapidly for successful searching to proceed at a human's slow speed.
UK regulators have criticized a browser deal between Apple and Google as a "significant" barrier to search engine competition. The CMA claims that current laws are not enough to properly manage and regulate large technology companies and their platforms, such as Apple, Google, or Facebook, and in particular, deals between different entities can become barriers to innovation and competition. Within the report, the agency highlights a deal made in 2019 between Google and Apple, in which the former paid roughly £1.2 billion ($1.5bn) to become the default search engine on a variety of mobile devices and systems in the United Kingdom alone. According to the regulators, the iPhone and iPad maker received the lion's share of this payment. "Rival search engines to Google that we spoke to highlighted these default payments as one of the most significant factors inhibiting competition in the search market," the CMA says.
Mozilla only released Firefox 78 at the very end of June, but it was forced to stop the release because search engines were missing from the browser. According to the bug report, Firefox 78 was missing all search engines as well as the list of one-click search engines. Additionally, auto-complete in the address bar was broken and search on the start page didn't launch a search. As per Ghacks, the bug was bad enough for Mozilla to halt the Firefox 78 rollout. This issue affected Firefox Stable and Extended Support Release (ESR) when the browser was updated to the new version but not new installations of Firefox. As of the past few hours, downloading the latest version of Firefox gives users Firefox 78.0.1.
Privacy-focused search engine DuckDuckGo has reported that its service is not working in India. "To our users in India: We've received many reports our search engine is unreachable by much of India right now and have confirmed it is not due to us," the company tweeted. "We're actively talking to Internet providers to get to the bottom of it ASAP. It is unclear why DuckDuckGo would be unavailable in the country. It remains online in other countries, including the United Kingdom.
Twitter announced a new feature that encourages Android Twitter users to read an article before reading it. This raised suspicions that Twitter was tracking user clicks. The move is part of Twitter's stated goal to encourage "informed discussion." Often people share a link without reading the article. That results in click bait titles getting widely promoted regardless of the content.
A critical component of data management and enrichment pipelines is connecting large datasets from various sources to form a holistic view; to make connections between entities across data sources. Oftentimes, these entities -- such as individuals, organizations, or addresses -- may not have a unique identifier that can be used as a key to detect duplicates or to merge datasets on. ThinkData has developed a scalable entity resolution engine to solve these problems. After experimenting with both deep learning and traditional NLP techniques, the team has found the best balance of accuracy and performance. Specifically, we have achieved near-parity in accuracy compared to Magellan (the leading entity resolution project in research), albeit with much better performance metrics and greater scalability.
Productive, Self-Service Data Science - June 30 Data science is a core part of an organization's digital transformation strategy. In this latest DSC webinar discover how American Family Insurance's use of the Alation Data Catalog is enabling more productive data science outcomes with trusted, curated data. Productive, Self-Service Data Science - June 30 Data science is a core part of an organization's digital transformation strategy. In this latest DSC webinar discover how American Family Insurance's use of the Alation Data Catalog is enabling more productive data science outcomes with trusted, curated data.
Learning to rank (LTR from now on) is the application of machine learning techniques, typically supervised, in the formulation of ranking models for information retrieval systems. With LTR becoming more and more popular (Apache Solr supports it from Jan 2017 and Elasticsearch has an Open Source plugin released in 2018), organizations struggle with the problem of how to evaluate the quality of the models they train. This talk explores all the major points in both Offline and Online evaluation. Setting up correct infrastructures and processes for a fair and effective evaluation of the trained models is vital for measuring the improvements/regressions of a LTR system. The talk is intended for: – Product Owners, Search Managers, Business Owners – Software Engineers, Data Scientists, and Machine Learning Enthusiast Expect to learn: the importance of Offline testing from a business perspective how Offline testing can be done with Open Source libraries how to build a realistic test set from the original data set in input avoiding common mistakes in the process the importance of Online testing from a business perspective A/B testing and Interleaving approaches: details and Pros/ Cons common mistakes and how they can false the obtained results Join us as we explore real-world scenarios and dos and don'ts from the e-commerce industry!
For the vast majority of queries (for example, navigation, simple fact lookup, and others), search engines do extremely well. Their ability to quickly provide answers to queries is a remarkable testament to the power of many of the fundamental methods of AI. They also highlight many of the issues that are common to sophisticated AI question-answering systems. It has become clear that people think of search programs in ways that are very different from traditional information sources. Rapid and ready-at-hand access, depth of processing, and the way they enable people to offload some ordinary memory tasks suggest that search engines have become more of a cognitive amplifier than a simple repository or front-end to the Internet.
AI BI: Fueling Deeper Business Insights and Edge - June 30 Today, businesses are being asked to do more with less, while finding new ways to not only stay competitive, but also outpace the competition. In this latest DSC webinar, hear from two organizations that are coupling their data with artificial intelligence (AI) to power their business intelligence (BI) forecasts and dashboards. AI BI: Fueling Deeper Business Insights and Edge - June 30 Today, businesses are being asked to do more with less, while finding new ways to not only stay competitive, but also outpace the competition. In this latest DSC webinar, hear from two organizations that are coupling their data with artificial intelligence (AI) to power their business intelligence (BI) forecasts and dashboards.
A Polish website called PimEyes uses facial recognition to search the internet for pictures of a person based on a single image. That photo can be taken from a news site, social media, or an uploaded selfie, and the computer algorithm then shows matches on the web. The free part of service shows photos it believes to be the same person, and rates the'match' out of five stars. It provides a generic name of the site where the picture is found (i.e. For that added insight, it offers a premium service for £9.79 a day where customers can see exactly where the photo comes from.