machine learning - TechTalks https://bdtechtalks.com Technology solving problems... and creating new ones Mon, 17 Feb 2025 15:18:41 +0000 en-US hourly 1 https://i0.wp.com/bdtechtalks.com/wp-content/uploads/2018/02/cropped-TechTalks-logo.jpg?fit=32%2C32&ssl=1 machine learning - TechTalks https://bdtechtalks.com 32 32 99082954 How looking differently at data can save your machine learning project https://bdtechtalks.com/2025/02/15/ml-product-management-data-analysis/?utm_source=rss&utm_medium=rss&utm_campaign=ml-product-management-data-analysis https://bdtechtalks.com/2025/02/15/ml-product-management-data-analysis/#respond Sat, 15 Feb 2025 17:00:26 +0000 https://bdtechtalks.com/?p=23845 We were about to shut down a machine learning project. Then we decided to take another look at the data...

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How multiagent fine-tuning overcomes the data bottleneck of LLMs https://bdtechtalks.com/2025/01/27/llm-multiagent-fine-tuning/?utm_source=rss&utm_medium=rss&utm_campaign=llm-multiagent-fine-tuning https://bdtechtalks.com/2025/01/27/llm-multiagent-fine-tuning/#respond Mon, 27 Jan 2025 17:03:28 +0000 https://bdtechtalks.com/?p=23636 Multiagent debate and fine-tuning can enable LLMs to create high-quality training data to improve themselves across different tasks.

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New training paradigm prevents machine learning models from learning spurious correlations https://bdtechtalks.com/2025/01/20/memorization-aware-training-machine-learning/?utm_source=rss&utm_medium=rss&utm_campaign=memorization-aware-training-machine-learning https://bdtechtalks.com/2025/01/20/memorization-aware-training-machine-learning/#respond Mon, 20 Jan 2025 14:26:35 +0000 https://bdtechtalks.com/?p=23563 Meta researchers show how memorization-aware training can help machine learning models avoid developing dangerous biases.

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These mistakes can ruin your machine learning project https://bdtechtalks.com/2024/12/19/machine-learning-projects-common-pitfalls/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-projects-common-pitfalls https://bdtechtalks.com/2024/12/19/machine-learning-projects-common-pitfalls/#respond Thu, 19 Dec 2024 13:45:51 +0000 https://bdtechtalks.com/?p=23264 Some hard-earned lessons from the trenches shipping machine learning products.

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How to choose metrics for your machine learning projects https://bdtechtalks.com/2024/12/06/how-to-choose-metrics-for-your-machine-learning-projects/?utm_source=rss&utm_medium=rss&utm_campaign=how-to-choose-metrics-for-your-machine-learning-projects https://bdtechtalks.com/2024/12/06/how-to-choose-metrics-for-your-machine-learning-projects/#respond Fri, 06 Dec 2024 14:05:48 +0000 https://bdtechtalks.com/?p=23127 Think of business goals and interventions before determining your ML metrics.

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How to start with machine learning in your organization https://bdtechtalks.com/2024/11/14/first-machine-learning-project/?utm_source=rss&utm_medium=rss&utm_campaign=first-machine-learning-project https://bdtechtalks.com/2024/11/14/first-machine-learning-project/#respond Thu, 14 Nov 2024 13:30:12 +0000 https://bdtechtalks.com/?p=22883 Start with the low-hanging fruit to reduce friction and build trust in your organization in adopting machine learning across operations.

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How generative AI will affect machine learning roles https://bdtechtalks.com/2024/07/31/generative-ai-machine-learning-jobs/?utm_source=rss&utm_medium=rss&utm_campaign=generative-ai-machine-learning-jobs Wed, 31 Jul 2024 09:04:15 +0000 https://bdtechtalks.com/?p=21989 Organizations must still solve fundamental problems before they can apply machine learning to their processes. But dismissing generative AI is dangerous as well.

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What to know about the security of open-source machine learning models https://bdtechtalks.com/2024/04/08/ml-security-greg-ellis/?utm_source=rss&utm_medium=rss&utm_campaign=ml-security-greg-ellis Mon, 08 Apr 2024 16:41:37 +0000 https://bdtechtalks.com/?p=21229 Greg Ellis, GM of Application Security at Digital.ai, delves into the evolving landscape of machine learning security.

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How to succeed in applied machine learning https://bdtechtalks.com/2024/02/05/ai-playbook-bizml-review/?utm_source=rss&utm_medium=rss&utm_campaign=ai-playbook-bizml-review https://bdtechtalks.com/2024/02/05/ai-playbook-bizml-review/#respond Mon, 05 Feb 2024 14:00:00 +0000 https://bdtechtalks.com/?p=19655 In his book "The AI Playbook," Eric Siegel presents bizML, a framework for achieving success in applied machine learning projects.

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A simple guide to gradient descent in machine learning https://bdtechtalks.com/2023/07/31/what-is-gradient-descent/?utm_source=rss&utm_medium=rss&utm_campaign=what-is-gradient-descent https://bdtechtalks.com/2023/07/31/what-is-gradient-descent/#respond Mon, 31 Jul 2023 13:00:00 +0000 https://bdtechtalks.com/?p=16965 Gradient descent is the main technique for training machine learning and deep learning models. Read all about it.

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What to know about augmented language models https://bdtechtalks.com/2023/04/03/augmented-language-models/?utm_source=rss&utm_medium=rss&utm_campaign=augmented-language-models https://bdtechtalks.com/2023/04/03/augmented-language-models/#respond Mon, 03 Apr 2023 13:00:00 +0000 https://bdtechtalks.com/?p=16059 Large language models suffer from fundamental problems, such as failing at math and reasoning. Augmented language models address some of these problems.

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Best practices for deploying AI within large organizations https://bdtechtalks.com/2023/02/25/best-practices-ai-large-organizations/?utm_source=rss&utm_medium=rss&utm_campaign=best-practices-ai-large-organizations https://bdtechtalks.com/2023/02/25/best-practices-ai-large-organizations/#respond Sat, 25 Feb 2023 14:00:35 +0000 https://bdtechtalks.com/?p=15816 Developing AI products within large organizations is a completely different process than developing stand-alone solutions within start-ups or writing code for your Ph.D. work for that matter.

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The definitive guide to adversarial machine learning https://bdtechtalks.com/2023/01/23/adversarial-machine-learning-book/?utm_source=rss&utm_medium=rss&utm_campaign=adversarial-machine-learning-book https://bdtechtalks.com/2023/01/23/adversarial-machine-learning-book/#respond Mon, 23 Jan 2023 14:00:00 +0000 https://bdtechtalks.com/?p=15670 "Adversarial Robustness for Machine Learning" provides a comprehensive overview of adversarial ML.

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What is reinforcement learning from human feedback (RLHF)? https://bdtechtalks.com/2023/01/16/what-is-rlhf/?utm_source=rss&utm_medium=rss&utm_campaign=what-is-rlhf https://bdtechtalks.com/2023/01/16/what-is-rlhf/#comments Mon, 16 Jan 2023 14:00:00 +0000 https://bdtechtalks.com/?p=15625 Reinforcement learning from human feedback (RLHF) is the technique that has made ChatGPT very impressive. But there is more to RLHF that large language models (LLM).

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Why applied artificial intelligence needs a major mind-shift https://bdtechtalks.com/2022/12/27/power-and-prediction-review/?utm_source=rss&utm_medium=rss&utm_campaign=power-and-prediction-review https://bdtechtalks.com/2022/12/27/power-and-prediction-review/#respond Tue, 27 Dec 2022 14:00:00 +0000 https://bdtechtalks.com/?p=15446 "Power and Prediction" explores the fundamental challenges standing in the way of AI adoption in different industries.

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The common traits of successful MLOps https://bdtechtalks.com/2022/12/12/successful-mlops/?utm_source=rss&utm_medium=rss&utm_campaign=successful-mlops https://bdtechtalks.com/2022/12/12/successful-mlops/#respond Mon, 12 Dec 2022 14:00:00 +0000 https://bdtechtalks.com/?p=15325 A study by UC Berkeley sheds light on the best practices of MLOps and operationalizing machine learning.

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Is reinforcement learning overhyped? https://bdtechtalks.com/2022/10/20/is-reinforcement-learning-overhyped/?utm_source=rss&utm_medium=rss&utm_campaign=is-reinforcement-learning-overhyped https://bdtechtalks.com/2022/10/20/is-reinforcement-learning-overhyped/#comments Thu, 20 Oct 2022 13:00:00 +0000 https://bdtechtalks.com/?p=14987 By Aleksandras Šulženko Imagine you are about to sit down to play a game with a friend. But this isn’t just any friend – it’s a computer program that doesn’t know the rules of the game. It does, however, understand that it has a goal, and that goal is to win. Because this friend doesn’t […]

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The challenges of adversarial machine learning in constrained-feature applications https://bdtechtalks.com/2022/09/19/adversarial-machine-learning-constrained-features/?utm_source=rss&utm_medium=rss&utm_campaign=adversarial-machine-learning-constrained-features https://bdtechtalks.com/2022/09/19/adversarial-machine-learning-constrained-features/#respond Mon, 19 Sep 2022 13:00:00 +0000 https://bdtechtalks.com/?p=14729 AI researchers at the University of Luxemburg present a new method to systematically address adversarial attack and defense in constrained-feature domains.

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Python Machine Learning: The book that gets better with every edition https://bdtechtalks.com/2022/09/14/machine-learning-pytorch-sklearn/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-pytorch-sklearn https://bdtechtalks.com/2022/09/14/machine-learning-pytorch-sklearn/#respond Wed, 14 Sep 2022 13:00:00 +0000 https://bdtechtalks.com/?p=14660 "Machine Learning with PyTorch and Scikit-Learn" is a balanced mix of theory, math, coding, and references to give you a broad overview of the ML and DL landscape.

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Democratizing the hardware side of large language models https://bdtechtalks.com/2022/08/01/cerebras-large-language-models/?utm_source=rss&utm_medium=rss&utm_campaign=cerebras-large-language-models https://bdtechtalks.com/2022/08/01/cerebras-large-language-models/#comments Mon, 01 Aug 2022 13:00:00 +0000 https://bdtechtalks.com/?p=14306 Cerebras CEO Andrew Feldman discusses the hardware challenges of LLMs and his vision to reduce the costs and complexity of training and running large neural networks.

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Large language models can’t plan, even if they write fancy essays https://bdtechtalks.com/2022/07/25/large-language-models-cant-plan/?utm_source=rss&utm_medium=rss&utm_campaign=large-language-models-cant-plan https://bdtechtalks.com/2022/07/25/large-language-models-cant-plan/#respond Mon, 25 Jul 2022 13:00:00 +0000 https://bdtechtalks.com/?p=14237 A study by researchers at Arizona State University shows large language models perform very poorly at tasks that require methodical planning.

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What is boosting in machine learning? https://bdtechtalks.com/2022/07/16/what-is-boosting-in-machine-learning/?utm_source=rss&utm_medium=rss&utm_campaign=what-is-boosting-in-machine-learning https://bdtechtalks.com/2022/07/16/what-is-boosting-in-machine-learning/#respond Sat, 16 Jul 2022 13:00:00 +0000 https://bdtechtalks.com/?p=14167 By Mona Eslamijam This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. We train machine learning models to predict values such as the weather, stock prices, the class of an image, or the sentiment of a social media post. However, often, machine learning models […]

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Large language models might reason—if you know how to speak to them https://bdtechtalks.com/2022/07/11/large-language-models-zero-shot-reasoning/?utm_source=rss&utm_medium=rss&utm_campaign=large-language-models-zero-shot-reasoning https://bdtechtalks.com/2022/07/11/large-language-models-zero-shot-reasoning/#respond Mon, 11 Jul 2022 13:00:00 +0000 https://bdtechtalks.com/?p=14127 A new study by the University of Tokyo shows that with the right prompt, large language models can perform zero-shot reasoning.

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“Sentience” is the wrong discussion to have on AI right now https://bdtechtalks.com/2022/06/20/lamda-large-language-models-sentient-ai/?utm_source=rss&utm_medium=rss&utm_campaign=lamda-large-language-models-sentient-ai https://bdtechtalks.com/2022/06/20/lamda-large-language-models-sentient-ai/#comments Mon, 20 Jun 2022 13:00:00 +0000 https://bdtechtalks.com/?p=14013 Instead of "sentience" and "consciousness," we should discuss human compatibility and trust issues with current AI systems.

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What Hugging Face and Microsoft’s collaboration means for applied AI https://bdtechtalks.com/2022/05/31/hugging-face-microsoft-machine-learning/?utm_source=rss&utm_medium=rss&utm_campaign=hugging-face-microsoft-machine-learning https://bdtechtalks.com/2022/05/31/hugging-face-microsoft-machine-learning/#respond Tue, 31 May 2022 13:00:00 +0000 https://bdtechtalks.com/?p=13860 Hugging Face launched Endpoints on Azure in collaboration with Microsoft. But creating a business around transformers presents challenges that favor large tech companies and put companies like Hugging Face at a disadvantage.

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Machine learning has a backdoor problem https://bdtechtalks.com/2022/05/23/machine-learning-undetectable-backdoors/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-undetectable-backdoors https://bdtechtalks.com/2022/05/23/machine-learning-undetectable-backdoors/#respond Mon, 23 May 2022 13:00:00 +0000 https://bdtechtalks.com/?p=13793 A new research paper highlights the threats of undetectable backdoors in machine learning models.

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Machine learning: What is the transformer architecture? https://bdtechtalks.com/2022/05/02/what-is-the-transformer/?utm_source=rss&utm_medium=rss&utm_campaign=what-is-the-transformer https://bdtechtalks.com/2022/05/02/what-is-the-transformer/#respond Mon, 02 May 2022 13:03:52 +0000 https://bdtechtalks.com/?p=13637 The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.

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FOMO is a TinyML neural network for real-time object detection https://bdtechtalks.com/2022/04/18/fomo-tinyml-object-detection/?utm_source=rss&utm_medium=rss&utm_campaign=fomo-tinyml-object-detection https://bdtechtalks.com/2022/04/18/fomo-tinyml-object-detection/#respond Mon, 18 Apr 2022 13:00:00 +0000 https://bdtechtalks.com/?p=13486 FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

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DataRobot’s vision to democratize machine learning with no-code AI https://bdtechtalks.com/2022/03/28/datarobot-no-code-ai/?utm_source=rss&utm_medium=rss&utm_campaign=datarobot-no-code-ai https://bdtechtalks.com/2022/03/28/datarobot-no-code-ai/#respond Mon, 28 Mar 2022 12:58:08 +0000 https://bdtechtalks.com/?p=13278 Nenshad Bardoliwalla, chief product officer at DataRobot, discusses challenges machine learning in different sectors and how no-code platforms are helping democratize AI.

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AI’s J-curve and upcoming productivity boom https://bdtechtalks.com/2022/01/31/ai-productivity-j-curve/?utm_source=rss&utm_medium=rss&utm_campaign=ai-productivity-j-curve https://bdtechtalks.com/2022/01/31/ai-productivity-j-curve/#respond Mon, 31 Jan 2022 14:00:00 +0000 https://bdtechtalks.com/?p=12817 Stanford professor Erik Brynjolfsson discusses the productivity opportunities of artificial intelligence and the challenges caused by the J-curve.

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What is a support vector machine (SVM)? https://bdtechtalks.com/2021/12/27/what-is-support-vector-machine-svm/?utm_source=rss&utm_medium=rss&utm_campaign=what-is-support-vector-machine-svm https://bdtechtalks.com/2021/12/27/what-is-support-vector-machine-svm/#respond Mon, 27 Dec 2021 14:00:00 +0000 https://bdtechtalks.com/?p=12509 Support vector machine (SVM) is a type of machine learning algorithm that can be used for classification and regression tasks.

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How to succeed as an ML research scientist in task-oriented dialogue https://bdtechtalks.com/2021/12/23/machine-learning-research-nlp-tips/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-research-nlp-tips https://bdtechtalks.com/2021/12/23/machine-learning-research-nlp-tips/#respond Thu, 23 Dec 2021 14:00:00 +0000 https://bdtechtalks.com/?p=12486 By Sravana Reddy and Ramya Ramakrishnan Task-oriented dialogue, an area of research within the broader field of conversational AI, is an exciting area centered around building dialogue systems to solve tasks. It is a high-impact area of study as natural language systems become increasingly ubiquitous across consumer applications and the enterprise. In addition, researchers in […]

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Amazon announces new machine learning products at re:Invent https://bdtechtalks.com/2021/12/02/amazon-aws-reinvent-machine-learning-products/?utm_source=rss&utm_medium=rss&utm_campaign=amazon-aws-reinvent-machine-learning-products https://bdtechtalks.com/2021/12/02/amazon-aws-reinvent-machine-learning-products/#respond Thu, 02 Dec 2021 14:00:00 +0000 https://bdtechtalks.com/?p=12289 At this year's AWS re:Invent conference, Amazon announced new machine learning products, including a no-code ML tool, a data-labeling platform, and a service for optimizing the deployment of machine learning projects.

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What is data augmentation? https://bdtechtalks.com/2021/11/27/what-is-data-augmentation/?utm_source=rss&utm_medium=rss&utm_campaign=what-is-data-augmentation https://bdtechtalks.com/2021/11/27/what-is-data-augmentation/#comments Sat, 27 Nov 2021 15:00:00 +0000 https://bdtechtalks.com/?p=12238 Data augmentation improves machine learning performance by generating new training examples from existing data.

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New technique protects contrastive ML against adversarial attacks https://bdtechtalks.com/2021/11/18/contrastive-learning-adversarial-attacks/?utm_source=rss&utm_medium=rss&utm_campaign=contrastive-learning-adversarial-attacks https://bdtechtalks.com/2021/11/18/contrastive-learning-adversarial-attacks/#respond Thu, 18 Nov 2021 13:30:00 +0000 https://bdtechtalks.com/?p=12146 A new paper by researchers at the MIT-IBM Watson AI Lab sheds light on the sensitivities of contrastive machine learning to adversarial attacks.

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Industrial computer vision is getting ready for growth https://bdtechtalks.com/2021/11/12/industrial-computer-vision-landing-ai/?utm_source=rss&utm_medium=rss&utm_campaign=industrial-computer-vision-landing-ai https://bdtechtalks.com/2021/11/12/industrial-computer-vision-landing-ai/#respond Fri, 12 Nov 2021 14:00:00 +0000 https://bdtechtalks.com/?p=12082 Landing AI is one of several companies that is bringing computer vision to the industrial sector. As the market matures, it can bring great productivity, cost-efficiency, and safety to different industries.

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A developer’s guide to machine learning security https://bdtechtalks.com/2021/09/24/developers-guide-ml-adversarial-attacks/?utm_source=rss&utm_medium=rss&utm_campaign=developers-guide-ml-adversarial-attacks https://bdtechtalks.com/2021/09/24/developers-guide-ml-adversarial-attacks/#respond Fri, 24 Sep 2021 12:54:45 +0000 https://bdtechtalks.com/?p=11636 Even easy-to-use machine learning systems come with their own challenges. Among them is the threat of adversarial attacks, one of the important concerns of ML applications.

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Unsupervised learning can detect unknown adversarial attacks https://bdtechtalks.com/2021/08/30/unsupervised-learning-adversarial-attacks-detection/?utm_source=rss&utm_medium=rss&utm_campaign=unsupervised-learning-adversarial-attacks-detection https://bdtechtalks.com/2021/08/30/unsupervised-learning-adversarial-attacks-detection/#respond Mon, 30 Aug 2021 13:00:00 +0000 https://bdtechtalks.com/?p=11376 A new technique uses unsupervised learning and explanability techniques to detect adversarial examples

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The dos and don’ts of machine learning research https://bdtechtalks.com/2021/08/19/machine-learning-research-pitfalls/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-research-pitfalls https://bdtechtalks.com/2021/08/19/machine-learning-research-pitfalls/#respond Thu, 19 Aug 2021 13:00:00 +0000 https://bdtechtalks.com/?p=11268 Machine learning research and product development present several challenges that, if not addressed, can steer your project in the wrong direction. These tips will help you avoid these pitfalls.

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What is federated learning? https://bdtechtalks.com/2021/08/09/what-is-federated-learning/?utm_source=rss&utm_medium=rss&utm_campaign=what-is-federated-learning https://bdtechtalks.com/2021/08/09/what-is-federated-learning/#respond Mon, 09 Aug 2021 13:00:00 +0000 https://bdtechtalks.com/?p=11176 Federated learning is a technique that helps train machine learning models without sending sensitive user data to the cloud.

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What OpenAI and GitHub’s “AI pair programmer” means for the software industry https://bdtechtalks.com/2021/07/05/openai-github-gpt-3-copilot/?utm_source=rss&utm_medium=rss&utm_campaign=openai-github-gpt-3-copilot https://bdtechtalks.com/2021/07/05/openai-github-gpt-3-copilot/#comments Mon, 05 Jul 2021 13:00:00 +0000 https://bdtechtalks.com/?p=10819 Copilot, a source code generator developed by GitHub and OpenAI, provides interesting hints about the future directions of the software industry and the business of large language models.

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An introduction to object detection with deep learning https://bdtechtalks.com/2021/06/21/object-detection-deep-learning/?utm_source=rss&utm_medium=rss&utm_campaign=object-detection-deep-learning https://bdtechtalks.com/2021/06/21/object-detection-deep-learning/#respond Mon, 21 Jun 2021 13:00:00 +0000 https://bdtechtalks.com/?p=10669 Learn how deep neural networks detect objects in images in this primer on object detection with deep learning.

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Machine learning security needs new perspectives and incentives https://bdtechtalks.com/2021/06/03/machine-learning-security-neural-networks/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-security-neural-networks https://bdtechtalks.com/2021/06/03/machine-learning-security-neural-networks/#respond Thu, 03 Jun 2021 13:00:00 +0000 https://bdtechtalks.com/?p=10504 Researchers at the University of Maryland discuss why security must be part of the machine learning research process.

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What Intel’s image-enhancing AI means for the gaming industry? https://bdtechtalks.com/2021/05/24/intel-ai-photorealistic-enhancement/?utm_source=rss&utm_medium=rss&utm_campaign=intel-ai-photorealistic-enhancement https://bdtechtalks.com/2021/05/24/intel-ai-photorealistic-enhancement/#respond Mon, 24 May 2021 13:00:00 +0000 https://bdtechtalks.com/?p=10411 Intel's AI-based photorealistic enhancement technology is a clever use of machine learning. But the hardware, companies, and market for real-time photorealistic games are not ready.

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IBM’s Project CodeNet will test how far you can push AI to write software https://bdtechtalks.com/2021/05/17/ibms-codenet-machine-learning-programming/?utm_source=rss&utm_medium=rss&utm_campaign=ibms-codenet-machine-learning-programming https://bdtechtalks.com/2021/05/17/ibms-codenet-machine-learning-programming/#comments Mon, 17 May 2021 13:00:00 +0000 https://bdtechtalks.com/?p=10354 IBM’s AI research division has released Project CodeNet, a 14-million-sample dataset to develop machine learning models that can help in programming tasks.

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Machine learning: What is dimensionality reduction? https://bdtechtalks.com/2021/05/13/machine-learning-dimensionality-reduction/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-dimensionality-reduction https://bdtechtalks.com/2021/05/13/machine-learning-dimensionality-reduction/#respond Thu, 13 May 2021 12:50:28 +0000 https://bdtechtalks.com/?p=10312 Dimensionality reduction slashes the costs of machine learning and sometimes makes it possible to solve complicated problems with simpler models.

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Machine learning: What are membership inference attacks? https://bdtechtalks.com/2021/04/23/machine-learning-membership-inference-attacks/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-membership-inference-attacks https://bdtechtalks.com/2021/04/23/machine-learning-membership-inference-attacks/#respond Fri, 23 Apr 2021 13:00:00 +0000 https://bdtechtalks.com/?p=10155 Membership inference attacks can detect examples used to train machine learning models even after those examples have been discarded.

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The challenges of applied machine learning https://bdtechtalks.com/2021/04/19/applied-machine-learning-challenges/?utm_source=rss&utm_medium=rss&utm_campaign=applied-machine-learning-challenges https://bdtechtalks.com/2021/04/19/applied-machine-learning-challenges/#respond Mon, 19 Apr 2021 13:00:00 +0000 https://bdtechtalks.com/?p=10112 Applied machine learning, or applying artificial intelligence to practical applications, poses serious challenges. The book "Real World AI" explores these challenges in depth.

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4 reasons to learn machine learning with JavaScript https://bdtechtalks.com/2021/04/12/javascript-machine-learning/?utm_source=rss&utm_medium=rss&utm_campaign=javascript-machine-learning https://bdtechtalks.com/2021/04/12/javascript-machine-learning/#respond Mon, 12 Apr 2021 13:00:00 +0000 https://bdtechtalks.com/?p=10064 There are several benefits to learning machine learning with JavaScript. Privacy, mobile and web integration, and customization are a few.

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Adversarial machine learning: The underrated threat of data poisoning https://bdtechtalks.com/2021/04/05/machine-learning-data-poisoning-2/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-data-poisoning-2 https://bdtechtalks.com/2021/04/05/machine-learning-data-poisoning-2/#respond Mon, 05 Apr 2021 13:00:00 +0000 https://bdtechtalks.com/?p=10016 A new research paper shows that machine learning systems can fail against adversarial examples even if they have been trained with randomized smoothing techniques.

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