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AI news and solutions
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Inside Israel’s Iron Dome AI defence system
Israel’s AI-integrated air defense system, Iron Dome, has been in the spotlight due to the recent conflict with Gaza. Iron Dome has a 90% success rate in intercepting rockets from Hamas and Hezbollah, using radar technology,…
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In a New AI Paper, CMU and Google Researchers Redefine Language Model Outputs: How Delaying Responses with Pause Tokens Boosts Performance on QA and Reasoning Tasks
Researchers from Carnegie Mellon University and Google explored the concept of delaying model outputs in language models by adding fake tokens. This technique, called pause training, was found to improve performance on various tasks, including extractive…
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Never-ending Learning of User Interfaces
Machine learning models are being used to predict UI information and improve app accessibility and testing. Currently, these models rely on costly and error-prone human-labeled datasets. While some elements can be guessed from visuals or metadata,…
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Slower Respiration Rate is Associated with Higher Self-reported Well-being After Wellness Training
Mind-body interventions like mindfulness-based stress reduction (MBSR) can enhance well-being by improving awareness and control of physiological and cognitive states. Researchers examined the impact of MBSR on long-term physiological changes and well-being. They measured respiration rate…
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Use no-code machine learning to derive insights from product reviews using Amazon SageMaker Canvas sentiment analysis and text analysis models
According to Gartner, 85% of software buyers trust online reviews as much as personal recommendations. Machine learning (ML) can help analyze large volumes of customer reviews across multiple channels to gain insights into customer preferences and…
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Why You (Almost) Can’t Calculate Pi to a Billion Digits in Python at Home
Google set a new world record for calculating the most digits of Pi using the y-cruncher program running on Google Cloud. While math.pi has a precision of 15 digits, the article explores using Ramanujan’s formula and…
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Meet the Clarifai Champs of the Streamlit LLM Hackathon
The winners of Streamlit’s LLM Hackathon have been announced for building the most interesting Clarifai projects.
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Enhancing Language Models with Analogical Prompting for Improved Reasoning
Researchers from Google DeepMind and Stanford University have developed a technique called “Analogical Prompting” to enhance the reasoning abilities of language models. Traditional prompts and pre-defined examples often fall short in guiding models to solve complex…
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AI Girlfriends Gain Popularity in the US, Sparking Concerns Over Young Men’s Loneliness
The trend of AI-powered virtual girlfriends is rapidly escalating in the US, but experts are alarmed by the potential increase in loneliness among young men. Liberty Vittert, a data science professor, expressed concerns about the impact…
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BBC blocks ChatGPT bot, explores Gen AI to create content
The BBC has blocked OpenAI’s ChatGPT bot and the Common Crawl bot from scraping its news and media content. The decision follows a trend of websites blocking AI bots from using their data to train AI…
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Can We Truly Trust Artificial Intelligence AI Watermarking? This AI Paper Unmasks the Vulnerabilities in Current Deepfake Method’s Defense
Advancements in generative AI have led to the creation of hyper-realistic digital content known as deepfakes, raising concerns about misinformation and fraud. Researchers have developed methods such as watermarking to distinguish between authentic and AI-generated material.…
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AI decodes speech from non-invasive brain recordings
Researchers at Meta AI have developed a non-invasive method to decode speech from brain activity. By using magneto-encephalography (MEG) and electroencephalography (EEG), they recorded the brain waves of volunteers and identified the words associated with specific…
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Stanford Researchers Propose MAPTree: A Bayesian Approach to Decision Tree Induction with Enhanced Robustness and Performance
The MAPTree algorithm, developed by researchers at Stanford University, improves decision tree models beyond what was previously believed to be optimal. It assesses the posterior distribution of Bayesian Classification and Regression Trees (BCART) to create more…
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Meet SynthIA (Synthetic Intelligent Agent) 7B-v1.3: A Mistral-7B-v0.1 Model Trained on Orca Style Datasets
SynthIA-7B-v1.3 is a robust and flexible large language model with 7 billion parameters. It can be used for various purposes such as text creation, translation, generating original content, and answering questions. It is suitable for researchers,…
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UK politicians speak out over police’s use of facial recognition
UK parliamentarians and advocacy organizations are calling for a temporary halt to the use of live facial recognition technology by the police. Concerns are being raised about the potential misuse and ineffectiveness of the technology, as…
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Protestors criticize Meta’s open source approach to AI development
Open source AI, particularly Meta’s Llama models, has sparked debate and protest regarding the risks of publicly releasing powerful AI models. Protestors argue that open source AI can lead to irreversible proliferation of dangerous technology, while…
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AI-created musicians are receiving record labels signings, sorry humans
AI-generated pop stars like Noonoouri, a virtual influencer created by German designer Joerg Zuber, are making waves in the music industry. Noonoouri recently signed a record deal with Warner Music and has a large following on…
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Researchers from ITU Denmark Introduce Neural Developmental Programs: Bridging the Gap Between Biological Growth and Artificial Neural Networks
The human brain is a complex organ that processes information hierarchically and in parallel. Can these techniques be applied to deep learning? Yes, researchers at the University of Copenhagen have developed a neural network called Neural…
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Do All the Roads Lead to Rome?
The author discusses using Python, network science, and geospatial data to answer the question of whether all roads lead to Rome. They load and visualize the Roman road network data using GeoPandas and Matplotlib. They transform…
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Google DeepMind Researchers Introduce Promptbreeder: A Self-Referential and Self-Improving AI System that can Automatically Evolve Effective Domain-Specific Prompts in a Given Domain
PromptBreeder is a new technique developed by Google DeepMind researchers that autonomously evolves prompts for Large Language Models (LLMs). It aims to improve the performance of LLMs across various tasks and domains by iteratively improving both…
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Our teams are a diverse group of talented individuals working remotely from different corners of the world. With members proficient in seven languages, we value and embrace diversity. However, what truly unites us is our shared passion for the language of modern technology. We come together to collaborate, innovate, and harness the power of cutting-edge technology to create exceptional solutions.
