Archive for the ‘Ai’ Category
11 Stocks That Will Profit From AI Evolution – Yahoo Finance
11 Stocks That Will Profit From AI Evolution Yahoo Finance
Continued here:
11 Stocks That Will Profit From AI Evolution - Yahoo Finance
Tags:
USF plans to launch college focused on artificial intelligence, cybersecurity and computing – University of South Florida
By Adam Freeman, University Communications and Marketing
The University of South Florida has announced its intention to create a college focused on the rapidly evolving fields of artificial intelligence (AI), cybersecurity and computing, with the goal of positioning the Tampa Bay region and state of Florida as a national leader. USF is the first university in Florida and among the first in the nation to announce plans to create a college dedicated to AI and cybersecurity.
The vision for the college would be to offer undergraduate and graduate programs aligned with USFs strategic plan and the states Programs of Strategic Emphasis to prepare students for high-demand careers, empower faculty to conduct innovative research that leads to new discoveries or technological advancements, grow industry partnerships and promote ethical considerations and trust throughout the digital transformation underway in society. Research shows that there has been a five-fold increase in the demand for AI skills with jobs in the U.S., while more than 40% of organizations experiencing a shortage of cybersecurity professionals say they are unable to find enough qualified talent.
The creation of a new college would leverage USF's existing strengths and partnerships in AI, cybersecurity and computing, as well as its location in the Tampa Bay region, a hub for technology and defense industries. At USF, there are approximately 200 faculty members currently engaged in research in related disciplines, which are seeing significant growth in funding awards. Last year the National Science Foundation reportedly awarded more than $800 million for AI-related research.
"As AI and cybersecurity quickly evolve, the demand for professionals skilled in these areas continues to grow, along with the need for more research to better understand how to utilize powerful new technologies in ways that improve our society, USF President Rhea Law said. Through the expertise of our faculty and our strong partnerships with the business community, the University of South Florida is strategically positioned to be a global leader in these fields.
The formation of a new college is subject to continued consultation with faculty through shared governance processes and approval from the USF Board of Trustees. In recent months, an internal task force has been evaluating USFs faculty strengths and exploring opportunities to enhance multidisciplinary collaboration that will help advance USFs academic and research excellence in AI, cybersecurity and computing. The addition of this new college would bring together expertise currently housed across several different colleges to serve as a complement to USFs 13 existing colleges, which would remain operational and continue to be positioned for success.
Establishing this college would align with USFs strategic initiative to enhance academic and research excellence in key areas of societal need and opportunity, said USF Provost and Executive Vice President for Academic Affairs Prasant Mohapatra. By building on our multidisciplinary strengths, such as health, engineering, arts and humanities, and cybersecurity, we aim to support our strategic goals of advancing student success, promoting continuous professional growth, fostering industry, government and community partnerships, and propelling the university towards a top-25 ranking.
More information is available here.
See the original post:
Tags:
Stability AI CEO resigns to pursue decentralized AI – The Verge
Emad Mostaque is stepping down from his role as CEO of Stability AI, the startup that helped bring Stable Diffusion to life. In a press release late on Friday night, Stability AI says Mostaque is leaving the company to pursue decentralized AI. Mostaque will also step down from his position on the board of directors at Stability AI.
The board has appointed two interim co-CEOs to lead Stability AI COO Shan Shan Wong and CTO Christian Laforte while it conducts a search for a permanent CEO. As we search for a permanent CEO, I have full confidence that Shan Shan Wong and Christian Laforte, in their roles as interim co-CEOs, will adeptly steer the company forward in developing and commercializing industry-leading generative AI products, says Jim OShaughnessy, chairman of the board at Stability AI.
That push toward developing commercialized AI products is likely a big part of why Mostaque has stepped down. Not going to beat centralized AI with more centralized AI, said Mostaque in a post on X, following his resignation. It is now time to ensure AI remains open and decentralized, says Mostaque in a separate statement.
There was a lot of drama in the AI startup world this week
Mostaques departure comes just days after Forbes reported that Stability AI was in trouble after other key developers resigned. Three out of the five researchers who originally created the technology behind Stable Diffusion have left the company recently. The leadership changes at Stability AI also come in the same week rival startup Inflection AI experienced what was effectively a Microsoft talent acquisition.
Google DeepMind co-founder and former Inflection AI CEO Mustafa Suleyman joined Microsoft earlier this week as the CEO of a new AI team. Microsoft also hired some key Inflection AI employees, including co-founder Karn Simonyan who is now the chief scientist of Microsoft AI. Most of Inflections staff is joining Microsoft AI, leaving the AI startup to pivot to enterprise offerings.
Stabilitys flagship AI product, Stable Diffusion, is used by many to offer text-to-image generation AI tools. Stability released its newest model, Stable Cascade, just weeks ago as an option for researchers on GitHub. Stability AI also started offering a paid membership for commercial use of its models in December, to help fund its research.
Stability AI has popularized the stable diffusion method of AI, but has faced lawsuits around the data that Stable Diffusion is allegedly trained on. A lawsuit in the UK from Getty Images is heading to trial soon, and it could be a big moment for the legislative framework around generative AI products.
Read more from the original source:
Stability AI CEO resigns to pursue decentralized AI - The Verge
Tags:
Scientists create AI models that can talk to each other and pass on skills with limited human input – Livescience.com
The next evolution in artificial intelligence (AI) could lie in agents that can communicate directly and teach each other to perform tasks, research shows.
Scientists have modeled an AI network capable of learning and carrying out tasks solely on the basis of written instructions. This AI then described what it learned to a sister AI, which performed the same task despite having no prior training or experience in doing it.
The first AI communicated to its sister using natural language processing (NLP), the scientists said in their paper published March 18 in the journal Nature.
NLP is a subfield of AI that seeks to recreate human language in computers so machines can understand and reproduce written text or speech naturally. These are built on neural networks, which are collections of machine learning algorithms modeled to replicate the arrangement of neurons in the brain.
Once these tasks had been learned, the network was able to describe them to a second network a copy of the first so that it could reproduce them. To our knowledge, this is the first time that two AIs have been able to talk to each other in a purely linguistic way, said lead author of the paper Alexandre Pouget, leader of the Geneva University Neurocenter, in a statement.
The scientists achieved this transfer of knowledge by starting with an NLP model called "S-Bert," which was pre-trained to understand human language. They connected S-Bert to a smaller neural network centered around interpreting sensory inputs and simulating motor actions in response.
Related: AI-powered humanoid robot can serve you food, stack the dishes and have a conversation with you
Get the worlds most fascinating discoveries delivered straight to your inbox.
This composite AI a "sensorimotor-recurrent neural network (RNN)" was then trained on a set of 50 psychophysical tasks. These centered on responding to a stimulus like reacting to a light through instructions fed via the S-Bert language model.
Through the embedded language model, the RNN understood full written sentences. This let it perform tasks from natural language instructions, getting them 83% correct on average, despite having never seen any training footage or performed the tasks before.
That understanding was then inverted so the RNN could communicate the results of its sensorimotor learning using linguistic instructions to an identical sibling AI, which carried out the tasks in turn also having never performed them before.
The inspiration for this research came from the way humans learn by following verbal or written instructions to perform tasks even if weve never performed such actions before. This cognitive function separates humans from animals; for example, you need to show a dog something before you can train it to respond to verbal instructions.
While AI-powered chatbots can interpret linguistic instructions to generate an image or text, they cant translate written or verbal instructions into physical actions, let alone explain the instructions to another AI.
However, by simulating the areas of the human brain responsible for language perception, interpretation and instructions-based actions, the researchers created an AI with human-like learning and communication skills.
This won't alone lead to the rise of artificial general intelligence (AGI) where an AI agent can reason just as well as a human and perform tasks in multiple areas. But the researchers noted that AI models like the one they created can help our understanding of how human brains work.
Theres also scope for robots with embedded AI to communicate with each other to learn and carry out tasks. If only one robot received initial instructions, it could be really effective in manufacturing and training other automated industries.
The network we have developed is very small, the researchers explained in the statement. Nothing now stands in the way of developing, on this basis, much more complex networks that would be integrated into humanoid robots capable of understanding us but also of understanding each other.
Continue reading here:
Tags: