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Google Gemma: because Google doesn’t want to give away Gemini yet
/ Gemma 2B and Gemma 7B are smaller open-source AI models for language tasks in English.
Read the full article at: www.theverge.com
Via Gust MEES
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
Via Gust MEES
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
Via Gust MEES
A team of scientists at the Freie Universität in Berlin has developed an artificial intelligence (AI) method for calculating the ground state of the Schrödinger equation. The goal was to predict chemical and physical properties of molecules based solely on the arrangement of their atoms in space, avoiding the need for resource-intensive and time-consuming laboratory experiments. In principle, this can be achieved by solving the Schrödinger equation, but in practice this is extremely difficult. Up until now, it has been impossible to find an exact solution for arbitrary molecules that can be efficiently computed. But the team at the Freie Universität Berlin has developed an AI deep learning method that can achieve an unprecedented combination of accuracy and computational efficiency.
Read the full article at: scitechdaily.com
Via Dr. Stefan Gruenwald
Soon, you might not need anything more specialized than a readily accessible touchscreen device and any existing data sets you have access to in order to build powerful prediction tools. A new experiment from MIT and Brown Universityresearchers have added a capability to their ‘Northstar’ interactive data system that can “instantly generate machine-learning models” to use with their exiting data sets in order to generate useful predictions. One example the researchers provide is that doctors could make use of the system to make predictions about the likelihood their patients have of contracting specific diseases based on their medial history. Or, they suggest, a business owner could use their historical sales data to develop more accurate forecasts, quickly and without a ton of manual analytics work. Researchers are calling this feature the Northstar system’s “virtual data scientist,” (or VDS) and it sounds like it could actually replace the human equivalent, especially in settings where one would never actually be readily available or resourced anyway. Your average doctor’s office doesn’t have a dedicated data scientist headcount, for instance, and nor do most small- to medium-sized businesses for that matter. Independently owned and operated coffee shops and retailers definitely wouldn’t otherwise have access to this kind of insight.
Via Charles Gerth, Dr. Stefan Gruenwald
The practice is part of a general trend of some hiring companies to move away from assessing candidates based on their resumes and skills, towards making hiring decisions based on people’s personalities.
Contrary to what its name might suggest, digital transformation is primarily a problem of culture and leadership, a “human” phenomenon. It implies working in a transdisciplinary way, collaborating beyond the usual borders and above all – like in any organizational transformation process – creating trust: trust between engineers and humanists, between government departments, between citizens and government, etc. And since there are no miracles, trust is built over time and experience and it can only come from listening, honesty, competence, and transparency.
Via Gust MEES
The concept of Big Data is a relatively new one. It denotes the availability of vast volumes and sources of data, which were not available before. By itself, Big Data is powerful, and when combined with Artificial Intelligence and machine learning, the opportunities presented by this combination are just endless. As big data moves to the maturity phase, firms are now looking for ways to combine the scale of AI and the agility of Big Data processes to bring about an acceleration on the delivery of the much-needed business value.
The Power of Combining AI and Big Data
Most businesses are data-driven. As a result, firms with the right type and quantity of data has the upper hand over rivals. Convergence between AI and big data is promising. Firms can now access large volumes of broken down and categorized data by their usefulness. Traditional computer processors cannot process big data. Big data can best be processed by a GPU database, which has the flexibility needed to handle a significant amount of data of different types. Learn more / En savoir plus / Mehr erfahren: https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=AI https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=AI https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Big+Data...
Via Gust MEES
A team of researchers from Cambridge University is borrowing some of the techniques used in autonomous vehicles to teach your phone to navigate, even when it doesn’t have access to positioning information like a GPS signal.
Via Ensil
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NUCA is an AI-powered camera that captures individuals in their purest form – no clothing, literally stripped down to their authentic selves in their natural state. Read the full article at: www.creativeapplications.net
Via ECAL Library
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
Via Juan Lama, Dr. Stefan Gruenwald
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
Via Gust MEES
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
Via Edumorfosis, Gust MEES
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
Via Edumorfosis, John Evans, Dr. Stefan Gruenwald
Although it might be theoretically possible to replicate the functioning of a human brain, it is not practicable as of now. Thus, capability-wise, we are leaps and bounds away from achieving artificial general intelligence. However, time-wise, the rapid rate at which AI is developing new capabilities means that we might be get close to the inflection point when the AI research community surprises us with the development of artificial general intelligence. And experts have predicted the development of artificial intelligence to be achieved as early as by 2030. A survey of AI experts recently predicted the expected emergence of AGI or the singularity by the year 2060. Thus, although in terms of capability, we are far from achieving artificial general intelligence, the exponential advancement of AI research may possibly culminate into the invention of artificial general intelligence within our lifetime or by the end of this century. Whether the development of AGI will be beneficial for humanity or not is still up for debate and speculation. So is the exact estimate on the time it will take for the emergence of the first real-world AGI application. But one thing is for sure -- the development of AGI will trigger a series of events and irreversible changes (good or bad) that will reshape the world and life as we know it, forever.
Via Charles Gerth, Dr. Stefan Gruenwald
Machine learning advances go above and beyond what has presently been achieved in medicine, the findings showed. Machine learning is overtaking humans in predicting death and heart attack, suggesting a continued maturation of the technology and a potential for increased efficiency among caregivers in the healthcare system, finds a study presented at the International Conference on Nuclear Cardiology and Cardiac.
Via Dr. Stefan Gruenwald
For better or worse, a new technology is making its way from consumers' homes into America's classrooms: voice-controlled "smart speaker" systems from companies such as Amazon and Google.
The internet-enabled devices listen to what users say, send audio recordings to the cloud, translate that information into commands, and respond accordingly—providing users with a personal digital voice assistant such as Amazon's Alexa, which teachers are now using to help with everything from setting a classroom timer to leading a group of 3rd graders through a spelling test.
Groups such as the American Civil Liberties Union are raising alarms about privacy.
"Should students be required to submit themselves to always-on voice-tracking and other third-party surveillance in order to get an education?" asked ACLU staff technologist Daniel Kahn Gillmor in an interview.
Still, the early K-12 adopters of smart speakers and digital voice assistants are generally enthusiastic.
Via John Evans, Dennis Swender
For some people, artificial intelligence still makes them feel a little…uneasy. It’s often depicted as sinister-looking robots who will take over our lives and our jobs, or even replace humanity.
The reality is, we are already in an age in which AI is infused into our everyday lives in ways that augment rather than replace people. Digital assistants such as Cortana can find you the closest restaurant, dictate a text to your friend, manage your email inbox and even help you create more beautiful PowerPoint presentations. Whether you realise it or not, AI is an integral part of all these interactions. And while it’s not something you can often see or touch, I bet you’re already experiencing the benefits of AI every day.
Via Gust MEES
Artificial intelligence (see the Wikipedia definition), specifically machine learning, is an increasingly integral part of many industries, including marketing.
Via Eric_Determined / Eric Silverstein
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Google Gemma: because Google doesn’t want to give away Gemini yet
/ Gemma 2B and Gemma 7B are smaller open-source AI models for language tasks in English.
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