Software is omnipresent in science, and yet it is overlooked everywhere. At a time when scientists (and many others) are talking about code, algorithms or artificial intelligence, software appears in the discourse as just another semantic subtlety. Many facets of software, such as questions about user licenses or file formats, are not part of the definition of code or algorithm.Software is omnipresent in science, and yet it is overlooked everywhere. At a time when scientists (and many others) are talking about code, algorithms or artificial intelligence, software appears in the discourse as just another semantic subtlety. Many facets of software, such as questions about user licenses or file formats, are not part of the definition of code or algorithm.[#item_full_content]
Hong Kong’s government is testing the city’s own ChatGPT -style tool for its employees, with plans to eventually make it available to the public, its innovation minister said after OpenAI took extra steps to block access from the city and other unsupported regions.Hong Kong’s government is testing the city’s own ChatGPT -style tool for its employees, with plans to eventually make it available to the public, its innovation minister said after OpenAI took extra steps to block access from the city and other unsupported regions.Machine learning & AI[#item_full_content]
Social media offers a treasure trove of data for researchers to understand how organizations and individuals use the technology to communicate with and grow their base of followers. However, manually analyzing the content can be time consuming or, in some cases, simply impossible due to the volume of data. While machine-learning models can help, they present their own set of challenges.Social media offers a treasure trove of data for researchers to understand how organizations and individuals use the technology to communicate with and grow their base of followers. However, manually analyzing the content can be time consuming or, in some cases, simply impossible due to the volume of data. While machine-learning models can help, they present their own set of challenges.Machine learning & AI[#item_full_content]
A novel machine learning framework developed by IIASA researchers to estimate global rooftop area growth from 2020 to 2050 can aid in planning sustainable energy systems, urban development, and climate change mitigation, and has potential for significant benefits in emerging economies.A novel machine learning framework developed by IIASA researchers to estimate global rooftop area growth from 2020 to 2050 can aid in planning sustainable energy systems, urban development, and climate change mitigation, and has potential for significant benefits in emerging economies.Energy & Green Tech[#item_full_content]
Campus wants to crack the code to get community college to work for everyone
Community colleges aren’t immune from the current reckoning higher education is facing. Student enrollment is declining while institutions keep raising tuition prices which can prevent students from finishing their programs. Clearly, it’s time for the industry to try something new. Tade Oyerinde thinks startups can help. Oyerinde is the founder and CEO at Campus, a […]
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Community colleges aren’t immune from the current reckoning higher education is facing. Student enrollment is declining while institutions keep raising tuition prices which can prevent students from finishing their programs. Clearly, it’s time for the industry to try something new. Tade Oyerinde thinks startups can help. Oyerinde is the founder and CEO at Campus, a
© 2024 TechCrunch. All rights reserved. For personal use only.[#item_full_content]
A new study has revealed that people prefer artificial intelligence (AI) over humans when it comes to redistributive decisions.A new study has revealed that people prefer artificial intelligence (AI) over humans when it comes to redistributive decisions.Business[#item_full_content]
With the rapid development of AI technology, voice-controlled smart speakers are becoming increasingly popular due to their convenience and ability to control compatible home devices. Despite the rise in use, smart speakers often do not have screens and little-to-none of the visual information feedback common to manually operated devices. This aspect complicates their usability, thus providing room for research and subsequent improvement.With the rapid development of AI technology, voice-controlled smart speakers are becoming increasingly popular due to their convenience and ability to control compatible home devices. Despite the rise in use, smart speakers often do not have screens and little-to-none of the visual information feedback common to manually operated devices. This aspect complicates their usability, thus providing room for research and subsequent improvement.Consumer & Gadgets[#item_full_content]
A team of engineers and roboticists at EPFL in Switzerland has designed and built a gliding drone that can use its wings as a gripping tool to perch on a vertical object. In their project, reported in the journal Communications Engineering, the group created a drone inspired by animals such as bats that can land on vertical poles and tree limbs.A team of engineers and roboticists at EPFL in Switzerland has designed and built a gliding drone that can use its wings as a gripping tool to perch on a vertical object. In their project, reported in the journal Communications Engineering, the group created a drone inspired by animals such as bats that can land on vertical poles and tree limbs.[#item_full_content]
Large language models (LLMs) can complete abstract reasoning tasks, but they are susceptible to many of the same types of mistakes made by humans. Andrew Lampinen, Ishita Dasgupta, and colleagues tested state-of-the-art LLMs and humans on three kinds of reasoning tasks: natural language inference, judging the logical validity of syllogisms, and the Wason selection task.Large language models (LLMs) can complete abstract reasoning tasks, but they are susceptible to many of the same types of mistakes made by humans. Andrew Lampinen, Ishita Dasgupta, and colleagues tested state-of-the-art LLMs and humans on three kinds of reasoning tasks: natural language inference, judging the logical validity of syllogisms, and the Wason selection task.Machine learning & AI[#item_full_content]
A team of programmers and AI specialists at Microsoft has developed an AI tool called SpreadsheetLLM that applies large language model capabilities to spreadsheets. In their study, now posted on the arXiv preprint server, the group developed SheetCompressor, an encoding framework that compresses spreadsheets effectively for use by large language models (LLMs).A team of programmers and AI specialists at Microsoft has developed an AI tool called SpreadsheetLLM that applies large language model capabilities to spreadsheets. In their study, now posted on the arXiv preprint server, the group developed SheetCompressor, an encoding framework that compresses spreadsheets effectively for use by large language models (LLMs).Software[#item_full_content]
