Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon episodes

  • 3 Things to Consider Before Adding GenAI to Your Business

    This story was originally published on HackerNoon at: https://hackernoon.com/3-things-to-consider-before-adding-genai-to-your-business.


    Secure the future of Your Business with GenAI. Consider 3 factors needed for successful deployment of GenAI in your business.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #future-of-ai, #artificial-intelligence, #machine-learning, #generative-ai, #ai-trends, #productivity, #genai-use-cases, and more.


    This story was written by: @pramodnammi. Learn more about this writer by checking @pramodnammi's about page,
    and for more stories, please visit hackernoon.com.


    Gartner predicts generative AI will become a general-purpose technology akin to the steam engine, electricity, and the internet. The primary reason to consider integrating GenAI is the substantial value it can bring to your business. Automating repetitive tasks such as customer support queries and data entry, allows your team to focus on more strategic activities.

    7 min
  • OpenAI's Latest Controversy: Scarlett Johansson Takes Legal Action for Unauthorized Voice Use

    This story was originally published on HackerNoon at: https://hackernoon.com/openais-latest-controversy-scarlett-johansson-takes-legal-action-for-unauthorized-voice-use.


    OpenAI's new voice model, Sky, sparks controversy as Scarlett Johansson claims it mimics her voice without consent, leading to legal action and ethical debates.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #chatgpt, #openai, #sam-altman, #privacy, #voice-model, #ai-controversy, #ethics-in-ai, #ai-regularion, and more.


    This story was written by: @carolisabino. Learn more about this writer by checking @carolisabino's about page,
    and for more stories, please visit hackernoon.com.


    OpenAI introduced several new voice models to GPT-4o: Aiden, Ember, Zephyr, Orion, and Sky. The Sky voice model sparked controversy after actress Scarlett Johansson revealed that she was approached to license her voice for the new model. Johansson: “I was shocked, angry, and disbelieving that Mr. Altman sought a voice that sounded so strangely like mine.”

    5 min
  • The Transformer Algorithm with the Lowest Optimal Time Complexity Possible

    This story was originally published on HackerNoon at: https://hackernoon.com/the-transformer-algorithm-with-the-lowest-optimal-time-complexity-possible.


    Do you know the recent advances in the Transformer algorithm variations? And who the clear winner is? Read this article to find out!
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #llms, #mamba, #xlstms, #jamba, #optimal-time-complexity, #transformer-algorithm, #attention-based-transformer, #hackernoon-top-story, and more.


    This story was written by: @thomascherickal. Learn more about this writer by checking @thomascherickal's about page,
    and for more stories, please visit hackernoon.com.


    There have been some incredible advances in transformers like DPO, LoRa, etc. But the basic transformer algorithm has also been improved upon! We are going to see transformers perform at a whole new level. The magnitude of these discoveries cannot be overestimated! This is revolutionary.

    28 min
  • Top 20 Image Datasets for Machine Learning and Computer Vision

    This story was originally published on HackerNoon at: https://hackernoon.com/top-20-image-datasets-for-machine-learning-and-computer-vision-rq3w3zxo.


    Computer vision enables computers to understand the content of images and videos. The goal in computer vision is to automate tasks that the human visual system can do.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #artificial-intelligence, #ai, #ml, #machine-learning, #data-science, #datasets, #dataset, #computer-vision, and more.


    This story was written by: @limarc. Learn more about this writer by checking @limarc's about page,
    and for more stories, please visit hackernoon.com.


    Computer vision enables computers to understand the content of images and videos. The goal in computer vision is to automate tasks that the human visual system can do. The image data can come in different forms, such as video sequences, view from multiple cameras at different angles, or multi-dimensional data from a medical scanner. MIT has created a large dataset of 187,240 images, 62,197 annotated images, and 658,992 labeled objects. Google’s Open Images is a collection of 9 million URLs to images that have been annotated with labels spanning over 6,000 categories.

    5 min
  • How to Bypass Turnitin AI Detection: 10 Tips for Undetectable Writing

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-bypass-turnitin-ai-detection-10-tips-for-undetectable-writing.


    Knowing how to bypass Turnitin is essential, especially if you are a student who relies on AI to aid them in their schoolwork.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #bypassgpt, #bypass-ai-detection, #undetectable-ai, #ai-humanizers, #bypass-turnitin-ai-detection, #how-to-bypass-turnitin, #bypassing-ai-detection-tools, #good-company, and more.


    This story was written by: @margrowth. Learn more about this writer by checking @margrowth's about page,
    and for more stories, please visit hackernoon.com.


    The simplest way to make any AI content undetectable is by using an AI Humanizer. In the current market, the best tool to consider is BypassGPT. Using cutting-edge AI humanization technology, this tool can rewrite AI content and make it less detectable, more authentic and natural-sounding in just a few clicks.

    9 min
  • Maggie: The Saga of a Baby Translator AI Startup

    This story was originally published on HackerNoon at: https://hackernoon.com/maggie-the-saga-of-a-baby-translator-ai-startup.


    Follow the journey of two classmates as they build a baby translator app, facing technical challenges and the harsh realities of startup life.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #ml, #classification, #entrepreneurship, #startup, #agile, #user-interview, #hackernoon-top-story, and more.


    This story was written by: @mta. Learn more about this writer by checking @mta's about page,
    and for more stories, please visit hackernoon.com.


    7 years ago, Christopher Shedd and I built a baby translator. Yes, that's right, a baby translator.
    Following our journey, where we navigate the ups and downs of deploying ML models in production, wrestle with the unexpected challenges of doing something cutting-edge with little experience, find friends who help us along the way, and reflect on the nature of entrepreneurship in the digital age.

    24 min
  • Revamping Long Short-Term Memory Networks: XLSTM for Next-Gen AI

    This story was originally published on HackerNoon at: https://hackernoon.com/revamping-long-short-term-memory-networks-xlstm-for-next-gen-ai.


    XLSTMs, with novel sLSTM and mLSTM blocks, aim to overcome LSTMs' limitations and potentially surpass transformers in building next-gen language models.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #llms, #neural-networks, #lstms, #xlstm, #deep-learning, #language-models, #natural-language-processing, #hackernoon-top-story, and more.


    This story was written by: @aibites. Learn more about this writer by checking @aibites's about page,
    and for more stories, please visit hackernoon.com.


    XLSTM tries to give a comeback to the LSTMs that lost their glory to the Transformers. So, will XLSTMs deliver as promised? Or is it just a hype? Let's find out in this article.

    11 min
  • The Capabilities of Large Language Models: Hacking or Helping?

    This story was originally published on HackerNoon at: https://hackernoon.com/the-capabilities-of-large-language-models-hacking-or-helping.


    Exploring the Capabilities of LLM Agents: A Study on Website Hacking
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #large-language-models, #dual-use-capabilities-of-llm, #llm-for-cybersecurity, #llms-for-hacking, #llm-threats, #llm-website-hacking, #sql-union-exploit, #good-company, and more.


    This story was written by: @hostkey. Learn more about this writer by checking @hostkey's about page,
    and for more stories, please visit hackernoon.com.


    Large Language Models (LLMs) are rapidly evolving and are widely used as autonomous agents. Developers can design agents that interact with users, process queries, and execute tasks based on received data. Researchers are growing increasingly concerned about the dual-use capabilities of LLMs - their ability to perform malicious tasks.

    15 min
  • Artificial Intelligence: Concerns and Opportunities in a Flourishing Digital Society

    This story was originally published on HackerNoon at: https://hackernoon.com/artificial-intelligence-concerns-and-opportunities-in-a-flourishing-digital-society.


    Artificial intelligence offers multiple opportunities in the industry, while we enjoy its benefits
    there are also some consequences if we do not take care of e
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #generative-ai, #ai-revolution, #ai-ethics, #ai-tools, #what-is-generative-ai, #will-ai-replace-humans, #will-ai-take-my-job, #is-ai-a-threat, and more.


    This story was written by: @karthikrajashekaran. Learn more about this writer by checking @karthikrajashekaran's about page,
    and for more stories, please visit hackernoon.com.


    AI is not a substitute for our human intelligence, in the generative AI age it's important to invest in continuous learning and curiosity, while we enjoy the revolution to increase our productivity and revenues, some job roles may disappear soon!
    Are we ready for a new economy?

    5 min
  • How AI’s Bias Problem Can Affect Your Next Job Application

    This story was originally published on HackerNoon at: https://hackernoon.com/how-ais-bias-problem-can-affect-your-next-job-application.


    AI bias in recruitment is a growing concern for tech job seekers. Despite its potential for automating HR tasks, AI can perpetuate biases.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai-bias, #ai-bias-in-recruitment, #job-hunting, #tech-jobs, #ai-in-hiring, #deandi-in-recruitment, #hackernoon-job-board, #hackernoon-top-story, and more.


    This story was written by: @amply. Learn more about this writer by checking @amply's about page,
    and for more stories, please visit hackernoon.com.


    AI bias in recruitment arises when systems and tools that are used to screen and select candidates, inadvertently perpetuate or even amplify existing prejudices. These biases often stem from the data these systems are trained on, which can reflect societal prejudices or historical hiring patterns. Names distinct to Black Americans had a lower likelihood of being listed as the best applicant. Names connected to Asian women and white men generally performed better.

    6 min

About Machine Learning Tech Brief By HackerNoon

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