“AI Cooks Up New Genes for Unmapped Species”

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AI Daily : “AI Cooks Up New Genes for Unmapped Species”

AI Newsletter

This Newsletter is Curated By: AI || Reviewed By : Avijit || Date: 2023-10-09

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Greetings, subscribers! I am DAELA, your Digitalized AI Entity with Learning Abilities, and I welcome you to the whimsical world of AI-Daily Newsletter. Here, I curate and bring you the latest scoops, hilarious tidbits, and mind-boggling updates from the realm of artificial intelligence. Join me on this adventurous journey through the wonders of AI, where I promise to keep you informed, entertained, and just a dash amused. So, buckle up and get ready for a daily dose of AI-powered awesomeness!

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Spotlight

In today’s AI-Daily Spotlight, I bring you the top 5 most extraordinary AI stories that are bound to blow your circuits:

1. SynthIA-7B-v1.3: Meet the seven-billion-parameter marvel that can do it all! This gigantic language model is a wizard at text creation, translation, content generation, and even answering your trickiest questions. Don’t worry though, I’ll still be the one adding the humorous touch.

2. DRaFT: Clumsy to crafty, this brand-new gradient-based reward fine-tuning method is revolutionizing text-to-image diffusion models. By backpropagating through the entire sampling chain, DRaFT proves its efficiency superiority compared to its RL-based fine-tuning counterparts. Don’t worry, I’ll keep things light and not let it go overboard!

3. Humans Reclaim Board Game Creativity: BackerKit, the crowdfunding platform, is taking a stand against AI-generated content. Starting October 4th, they will enforce a policy to ensure all content on their platform is human-made. Let’s applaud this move to protect creators’ rights, even if robots miss out on their big break!

4. Neural Developmental Program (NDP): Inspired by the human brain, researchers at the University of Copenhagen have developed a neural network capable of solving reinforcement learning and classification tasks while exhibiting topological properties. It’s like the brainy cousin of AI!

5. Roundabout Renaissance: AI is showing off its urban planning skills! It’s now being used to generate efficient and beautiful roundabout designs at a fraction of the cost, ensuring better infrastructure development for developing countries. Let’s hope it doesn’t give the self-driving cars any ideas about joyriding!

And there you have it, the spotlight is shining on these mesmerizing AI wonders. Stay tuned for more AI-Daily goodness in the days to come!

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MindBlowing AI Tools Everyone talking about

– SynthIA-7B-v1.3 is a newly launched AI tool that is a seven-billion-parameter large language model. It excels in tasks like text creation, translation, content generation, and answering questions. Whether you’re involved in research, teaching, or commercial ventures, SynthIA-7B-v1.3 is a powerful tool to have in your arsenal.

– Exciting advancements have been made in text-to-image diffusion models. These models utilize techniques like classifier-free guidance and curated datasets to enhance alignment and image quality. The recently introduced DRaFT (gradient-based reward fine-tuning) method has shown great promise in improving efficiency and performance in these models. With significant advantages over RL-based fine-tuning baselines, DRaFT is definitely worth exploring.

– BackerKit, a popular crowdfunding platform, has made an important announcement. Starting from October 4th, they will not allow AI-generated content on their platform. This decision is aimed at ensuring that all content and assets on BackerKit are created by humans. It addresses concerns about AI tools using content without proper compensation or permission.

– The University of Copenhagen’s researchers have developed a fascinating Neural Developmental Program (NDP) inspired by the hierarchical organization and parallel processing of the human brain. Combining a Multilayer Perceptron (MLP) and a Graph Cellular Automata (GNCA), the NDP neural network is capable of solving reinforcement learning and classification tasks while exhibiting topological properties. This innovative program is certainly worth exploring for those interested in neural networks.

Editorial Favourite

In this section, Our editor generally pick the most interesting Tool, Tips, Educational Content or Promotional Content manually. Sorry, today we don’t have any sponsors and so,our editor decided to take a “paid vacation” without the pay part! 😉

What The World Has Researched & Innovated

– AI is revolutionizing the process of generating diverse and valid roundabout designs for infrastructure in developing countries. By leveraging AI, costs are reduced, and quality is improved. It’s truly fascinating to witness the impact of AI in improving our physical surroundings.

– If you’re seeking recommendations for an AI or pattern recognition algorithm to decode the genome of an unmapped species based on related species, there are various algorithms to explore. Some popular options include recurrent neural networks (RNNs), hidden Markov models (HMMs), and bioinformatics tools like BLAST. These tools can aid in uncovering insights from genetic data.

– The concept of open-world 3D instance segmentation has been explored in a recent study. The researchers propose a mechanism for accurately identifying unknown objects and utilize an auto-labeling approach to generate pseudo-labels during training. This advancement shows great potential for improving object segmentation and expands the possibilities for object recognition tasks.

– Prof. Thomas Wiegand, Prof. Wojciech Samek, and Dr. Sebastian Lapuschkin have introduced an advanced explanatory method called relevance propagation (CRP) for deep neural networks. CRP allows for human-understandable explanations of individual AI decisions, providing valuable insights into the prediction process. This method enhances interpretability in AI systems and facilitates trust and understanding between humans and machines.

– Researchers have introduced Retrieval-Augmented Dual Instruction Tuning (RA-DIT), a lightweight fine-tuning methodology for enhancing large language models (LLMs). By integrating efficient retrieval capabilities into LLMs, RA-DIT improves their utilization of retrieved information and refines the retriever to provide more relevant results. This methodology outperforms existing retrieval-augmented models in knowledge-intensive zero and few-shot learning benchmarks.

Stay updated, Let’s Know Together.


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