12 May

Posted at 12:32h in Scoop.it

Software from Baidu Research yields jabs for COVID that have greater shelf stability and that trigger a larger antibody response in mice than conventionally designed shots. An artificial intelligence (AI) tool that optimizes the gene sequences found in mRNA vaccines could help to create jabs with greater potency and stability that could be deployed across the globe. Developed by scientists at the California division of Baidu Research, an AI company based in Beijing, the software borrows techniques from computational linguistics to design mRNA sequences with more-intricate shapes and structures than those used in current vaccines. This enables the genetic material to persist for longer than usual. The more stable the mRNA that’s delivered to a person’s cells, the more antigens are produced by the protein-making machinery in that person’s body. This, in turn, leads to a rise in protective antibodies, theoretically leaving immunized individuals better equipped to fend off infectious diseases. What’s more, the enhanced structural complexity of the mRNA offers improved protection against vaccine degradation. During the COVID-19 pandemic, mRNA-based shots against the SARS-CoV-2 coronavirus famously had to be transported and kept at temperatures below –15°C to maintain their stability. This limited their distribution in resource-poor regions of the world that lack access to ultracold storage facilities. A more resilient product, optimized by AI, could eliminate the need for cold-chain equipment to handle such jabs. The new methodology is “remarkable”, says Dave Mauger, a computational RNA biologist who previously worked at Moderna in Cambridge, Massachusetts, a maker of mRNA vaccines. “The computational efficiency is really impressive and more sophisticated than anything that has come before.”

 

Research Cited published in Nature (May 2, 2023):

https://doi.org/10.1038/s41586-023-06127-z 

 

Read the full article at: www.nature.com

17 Mar

Posted at 09:35h in Scoop.it

After months of anticipation, OpenAI has released a powerful new image- and text-understanding AI model, GPT-4, that the company calls “the latest milestone in its effort in scaling up deep learning.”

GPT-4 is available today via OpenAI’s API with a waitlist and in ChatGPT Plus, OpenAI’s premium plan for ChatGPT, its viral AI-powered chatbot.

Read the full article at: techcrunch.com

09 Feb

Posted at 14:52h in Scoop.it

Microsoft will add contextual searches to Bing, powered by its own version of the ChatGPT algorithm. Microsoft will also integrate a separate, dedicated chat interface for Bing, complete with footnoted links. Finally, AI will be integrated into Edge, allowing to summarize a financial earnings report, for example. Bing’s new search engine interface is live, but to a limited number of people. It will expand in the coming weeks.

 

 
 

Read the full article at: www.pcworld.com

01 Feb

Posted at 12:15h in Scoop.it

OpenAI, the company behind DALL-E and ChatGPT, has released a free tool that it says is meant to “distinguish between text written by a human and text written by AIs.” It warns the classifier is “not fully reliable” in a press release and “should not be used as a primary decision-making tool.” According to OpenAI, it can be useful in trying to determine whether someone is trying to pass off generated text as something that was written by a person.

The tool, known as a classifier, is relatively simple, though you will have to have a free OpenAI account to use it. You just paste text into a box, click a button, and it’ll tell you whether it thinks the text is very unlikely, unlikely, unclear if it is, possibly, or likely AI-generated.

 

 
 

Read the full article at: www.theverge.com

18 Jan

Posted at 22:33h in Scoop.it

The difference we have with ChatGPT is that it doesn’t so much present a threat to the university experience, but rather directly into the heart of the purpose of a university education – its ability to ‘teach you how to think’. There have been shadows of this in the past, for instance the hostility towards Wikipedia (Coomer 2013), the emergence of essay mills, not to mention simple, now common place tools such as spell checkers and calculators. I remember vividly a very angry professor in the early 2000s telling me that reading lists with hyperlinks would make students baby birds, with wide open mouths expecting to be spoon fed. We’ve pretty much moved through all those advancements in technology and realised their benefits, but this one, I would argue, is different. Not because it does not have its benefits, but because of the sheer volume and scale of what’s coming will be meaningfully different and ultimately challenge the foundations upon which we measure that ability to think – university assessment.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/topic/21st-century-innovative-technologies-and-developments/?&tag=ChatGPT

 

https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=AI

 

https://www.scoop.it/topic/21st-century-innovative-technologies-and-developments/?&tag=Ethics

 

Read the full article at: katelindsayblogs.com

18 Jan

Posted at 21:59h in Scoop.it

On Thursday, Microsoft researchers announced a new text-to-speech AI model called VALL-E that can closely simulate a person’s voice when given a three-second audio sample. Once it learns a specific voice, VALL-E can synthesize audio of that person saying anything—and do it in a way that attempts to preserve the speaker’s emotional tone.

Its creators speculate that VALL-E could be used for high-quality text-to-speech applications, speech editing where a recording of a person could be edited and changed from a text transcript (making them say something they originally didn’t), and audio content creation when combined with other generative AI models like GPT-3.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=AI

 

https://www.scoop.it/topic/21st-century-innovative-technologies-and-developments/?&tag=Ethics

 

 

Read the full article at: arstechnica.com

07 Jan

Posted at 21:43h in Scoop.it

Over the recent weeks, millions of people have tried the new AI chat released by OpenAI, built on an upgrade of GPT3 (Generative Pre-trained Transformer). The tool uses a neural network to generate responses from data sourced from the internet. OpenAI, supported by Microsoft, also built and released the currently free DALL-E – an AI-generated art form.

 

By creating an easy user interface, the ChatGPT likely has many educators wondering about the future of learning. This platform will be rapidly improved when next-generation GPT4 models emerge, most likely early 2023 – meaning, it’s only going to get even better, much, much better.

 

AI already does and will continue to impact education – along with every other sector. Innovative education leaders have an opportunity (along with parallel emerging innovations in Web3) to build the foundation for the most personalized learning system we have ever seen. Using these tools, educators can design an equitable and efficient model for every learner to find purpose and agency in their lives – and the opportunity to help solve some of the world’s most pressing challenges.

Read the full article at: www.gettingsmart.com