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CarMax already uses this automated vehicle inspection system.
UVeye’s technology is reducing fatalities out on the road by harnessing the power of AI and high-definition cameras to detect faulty tires, fluid leaks and damaged components before a possible accident or breakdown.
The first time a language model was used to synthesize human proteins.
Of late, AI models are really flexing their muscles. We have recently seen how ChatGPT has become a poster child for platforms that comprehend human languages. Now a team of researchers has tested a language model to create amino acid sequences, showcasing abilities to replicate human biology and evolution.
The language model, which is named ProGen, is capable of generating protein sequences with a certain degree of control. The result was achieved by training the model to learn the composition of proteins. The experiment marks the first time a language model was used to synthesize human proteins.
Continue reading “Scientists Use AI to Create Music through Proteins” »
Google worked to reassure investors and analysts on Thursday during its quarterly earnings call that it’s still a leader in developing AI. The company’s Q4 2022 results were highly anticipated as investors and the tech industry awaited Google’s response to the popularity of OpenAI’s ChatGPT, which has the potential to threaten its core business.
During the call, Google CEO Sundar Pichai talked about the company’s plans to make AI-based large language models (LLMs) like LaMDA available in the coming weeks and months. Pichai said users will soon be able to use large language models as a companion to search. An LLM, like ChatGPT, is a deep learning algorithm that can recognize, summarize and generate text and other content based on knowledge from enormous amounts of text data. Pichai said the models that users will soon be able to use are particularly good for composing, constructing and summarizing.
“Now that we can integrate more direct LLM-type experiences in Search, I think it will help us expand and serve new types of use cases, generative use cases,” Pichai said. “And so, I think I see this as a chance to rethink and reimagine and drive Search to solve more use cases for our users as well. It’s early days, but you will see us be bold, put things out, get feedback and iterate and make things better.”
Continue reading “ChatGPT is about to get even better and Microsoft’s Bing could win big” »
The results highlight some potential strengths and weaknesses of ChatGPT.
Some of the world’s biggest academic journal publishers have banned or curbed their authors from using the advanced chatbot, ChatGPT. Because the bot uses information from the internet to produce highly readable answers to questions, the publishers are worried that inaccurate or plagiarised work could enter the pages of academic literature.
Several researchers have already listed the chatbot as a co-author in academic studies, and some publishers have moved to ban this practice. But the editor-in-chief of Science, one of the top scientific journals in the world, has gone a step further and forbidden any use of text from the program in submitted papers.
Continue reading “Science journals ban listing of ChatGPT as co-author on papers” »
Check out all the on-demand sessions from the Intelligent Security Summit here.
Generative AI, which is based on Large Language Models (LLMs) and transformer neural networks, has certainly created a lot of buzz. Unlike hype cycles around new technologies such as the metaverse, crypto and Web3, generative AI tools such as Stable Diffusion and ChatGPT are poised to have tremendous, possibly revolutionary impacts. These tools are already disrupting multiple fields — including the film industry — and are a potential game-changer for enterprise software.
All of this has led Ben Thompson to declare in his Stratechery newsletter to declare generative AI advances as marking “a new epoch in technology.”
The co-founder of Microsoft is convinced that artificial intelligence like ChatGPT will radically change our world.
Bill Gates has never been so excited.
The co-founder of software giant Microsoft is on the artificial intelligence bandwagon that has become the buzzword in the tech world in recent weeks.
A new program aims to use AI to help academics and the public decipher hieroglyphs. Here’s an inside look at how—and whether—it works.
https://youtube.com/watch?v=9PuwqjDiGcg
Unlock the secrets of artificial intelligence in this comprehensive video. Explore the different categories of AI, such as narrow or general AI, and discover the differences between them. Delve into specific types of AI, including natural language processing, computer vision, and machine learning. Learn about the practical applications of these technologies and discover how they’re shaping the future. This is a must-see video for anyone interested in understanding the complexities of AI and how it’s transforming our world. Don’t miss out, watch now!
Gabriel Kreiman is a Professor at Harvard Medical School. He is on faculty at Children’s Hospital and the Center for Brain Science at Harvard University. He is Associate Director and Thrust Leader in the Harvard/MIT Center for Brains, Minds, and Machines. He received his MSc and PhD from the California Institute of Technology and pursued postdoctoral work with Professor Poggio at MIT.
The Kreiman laboratory combines behavioral metrics, neurophysiological recordings and computational models to understand cognitive function and to build biologically inspired Artificial Intelligence systems. Kreiman’s work has focused on two main themes: understanding the transformation of pixel-like inputs into rich and complex visual percepts; and elucidating the subjectively filters incoming inputs to create lasting narratives that constitute the fabric of our personal experiences and knowledge.
