Whalen et al. couple deep learning with functional assays in chimpanzee and human cells to interrogate the neurodevelopmental enhancer potential of 2,645 human accelerated regions (HARs). Activity is dominated by cis rather than trans effects, and compensatory changes are identified as a driver of rapid HAR evolution.
Over the last decade, the landscape of machine learning software development has undergone significant changes. Many frameworks have come and gone, but most have relied heavily on leveraging Nvidia’s CUDA and performed best on Nvidia GPUs. However, with the arrival of PyTorch 2.0 and OpenAI’s Triton, Nvidia’s dominant position in this field, mainly due to its software moat, is being disrupted.
This report will touch on topics such as why Google’s TensorFlow lost out to PyTorch, why Google hasn’t been able to capitalize publicly on its early leadership of AI, the major components of machine learning model training time, the memory capacity/bandwidth/cost wall, model optimization, why other AI hardware companies haven’t been able to make a dent in Nvidia’s dominance so far, why hardware will start to matter more, how Nvidia’s competitive advantage in CUDA is wiped away, and a major win one of Nvidia’s competitors has at a large cloud for training silicon.
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References:
►Read the full article: https://www.louisbouchard.ai/vall-e/
►Link for the audio samples: https://valle-demo.github.io/
►Wang et al., 2023: VALL-E. https://arxiv.org/pdf/2301.02111.pdf.
►My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/
Chapters:
With the rise of the popular new chatbot ChatGPT, colleges are restructuring some courses and taking preventive measures.
“AI needs to be fair and ethical for everyone,” said lawyer/programmer Matthew Butterick. “But Stability AI, Midjourney, and DeviantArt are appropriating the work of thousands of artists with no consent, no credit, and no compensation. As a lawyer who is also a longtime member of the visual-arts community, it’s a pleasure to stand up on behalf of fellow artists and continue this essential conversation about how we the people want AI to coexist with human culture and creativity.”
Since its founding in 2000, DeviantArt had grown to be a haven for artists of all stripes. A core aspect of participating in the DeviantArt community for artists is the practice of sharing digital images of their artwork. Today, DeviantArt bills itself as “the world’s largest art community,” hosting millions of images. At the same time, it offers DreamUp, a product that unlawfully infringes on the rights of its own art community. To add insult to injury, a large portion of the training data for Stable Diffusion—which powers DreamUp—was made up of images scraped from DeviantArt without permission from the artists that posted them.
For more information, please see our case page www.saverilawfirm.com/ai-art-generators-copyright-litigation and our case website stablediffusionlitigation.com.
TOKYO/BEIJING — China is the undisputed champion in artificial intelligence research papers, a Nikkei study shows, far surpassing the U.S. in both quantity and quality.
Tencent Holdings, Alibaba Group Holding and Huawei Technologies are among the top 10 companies producing AI research, according to the study. The Chinese contingent is steadily gaining representation in an area dominated by U.S. players.
The essence of the Turing Test revolves around whether a computer can successfully impersonate a human. The test is to be put into practice under a set of detailed conditions which rely on human judges being connected with test subjects (a computer and a person) solely via an instant messaging system or its equivalent. That is, the only information which will pass between the parties is text.
To pass the test, a computer would have to be capable of communicating via this medium at least as competently as a person. There is no restriction on the subject matter; anything within the scope of human experience in reality or imagination is fair game. This is a very broad canvas encompassing all of the possibilities of discussion about art, science, personal history, and social relationships. Exploring linkages between the realms is also fair game, allowing for unusual but illustrative analogies and metaphors. It is such a broad canvas, in my view, that it is impossible to foresee when, or even if, a machine intelligence will be able to paint a picture which can fool a human judge.
While it is possible to imagine a machine obtaining a perfect score on the SAT or winning Jeopardy—since these rely on retained facts and the ability to recall them—it seems far less possible that a machine can weave things together in new ways or to have true imagination in a way that matches everything people can do, especially if we have a full appreciation of the creativity people are capable of. This is often overlooked by those computer scientists who correctly point out that it is not impossible for computers to demonstrate creativity. Not impossible, yes. Likely enough to warrant belief in a computer can pass the Turing Test? In my opinion, no. Computers look relatively smarter in theory when those making the estimate judge people to be dumber and more limited than they are.
Experience the beauty of AI-generated creativity with “Fantasy Lost,” an original composition by Raymond Miller. Witness the power of Artificial Intelligence as it “humanizes” the performance, bringing a unique and compelling twist. Accompanied by artwork of beautiful Tolkienesque elven women rendered by Stable Diffusion 2.1 and a helpful scrolling score and lighted keyboard for anyone who wishes to play the piece, this video is a short jaunt through an otherworldly musical and visual odyssey. Join us at Creative AI channel and explore the endless possibilities of AI in art and music.
HAL [Hybrid Assistive Limb] is the world’s first technology that improves, supports, enhances and regenerates the wearer’s physical functions. Made by Cyberdyne 2018.
In this video a woman in a wheelchair since childhood because of polio walks again.
Click visits the Cyberdyne company in Japan, who are manufacturing HAL (Hybrid Assisted Limb) exoskeleton’s.
Since its launch in November last year, ChatGPT has become an extraordinary hit. Essentially a souped-up chatbot, the AI program can churn out answers to the biggest and smallest questions in life, and draw up college essays, fictional stories, haikus, and even job application letters. It does this by drawing on what it has gleaned from a staggering amount of text on the internet, with careful guidance from human experts. Ask ChatGPT a question, as millions have in recent weeks, and it will do its best to respond – unless it knows it cannot. The answers are confident and fluently written, even if they are sometimes spectacularly wrong.
The program is the latest to emerge from OpenAI, a research laboratory in California, and is based on an earlier AI from the outfit, called GPT-3. Known in the field as a large language model or LLM, the AI is fed hundreds of billions of words in the form of books, conversations and web articles, from which it builds a model, based on statistical probability, of the words and sentences that tend to follow whatever text came before. It is a bit like predictive text on a mobile phone, but scaled up massively, allowing it to produce entire responses instead of single words.
