Towards AI

NOVEMBER 16, 2024

Last Updated on November 17, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. Keswani’s Algorithm introduces a novel approach to solving two-player non-convex min-max optimization problems, particularly in differentiable sequential games where the sequence of player actions is crucial.

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ML @ CMU

JANUARY 2, 2025

In practice, our algorithm is off-policy and incorporates mechanisms such as two critic networks and target networks as in TD3 ( fujimoto et al., 2018 ) to enhance training (see Materials and Methods in Zhang et al.,

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ML @ CMU

JUNE 1, 2025

By the end of this post, you should know the general pipeline to train any model with any instruction dataset using the RLHF algorithm of your choice! Training Algorithm: REBEL , a state-of-the-art algorithm tailored for efficient RLHF optimization. The detailed derivations of the algorithm are shown in our paper.

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Towards AI

JANUARY 9, 2024

Last Updated on January 10, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. You see, AI is just the most general term for decision-making algorithms and does not necessarily mean ML. Don’t study LLMs! You’re making a mistake! In fact, as far as I know, AI itself is a bit difficult to define.

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ML @ CMU

SEPTEMBER 13, 2024

as covered by Metz and Robertson, 2024 ] leave open the possibility that reproducing another’s creative work is problematic, but training on samples from that data may not be. 2024 ], they have three issues as tests for memorization. Advances in Neural Information Processing Systems , 36, 2024. Accessed: 2024-05-21.

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Towards AI

NOVEMBER 8, 2024

Last Updated on November 9, 2024 by Editorial Team Author(s): Houssem Ben Braiek Originally published on Towards AI. We don’t have better algorithms; we just have more data. Edited Photo by Taylor Vick on Unsplash In ML engineering, data quality isn’t just critical — it’s foundational. This member-only story is on us.

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BAIR

MARCH 11, 2024

Specifically, I work on methods that algorithmically generates diverse training environments (i.e., Advisor(s): Masayoshi Tomizuka, Wei Zhan Research Blurb: My research focuses on machine learning and control algorithms for the challenging task of autonomous racing in Gran Turismo Sport.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Both models support a context window of 32,000 tokens, which is roughly 50 pages of text.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand where, when, and how each person is moving in a video. ByteTrack is an algorithm for tracking multiple moving objects in videos, such as people walking through a store.

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AWS Machine Learning Blog

OCTOBER 10, 2024

Amazon Lookout for Vision , the AWS service designed to create customized artificial intelligence and machine learning (AI/ML) computer vision models for automated quality inspection, will be discontinuing on October 31, 2025.

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Flipboard

MAY 30, 2025

The new generative AI solution, launched in 2024, transforms this process by proactively acquiring product information from brand websites and other sources to improve the customer experience across numerous product categories. SageMaker enabled further LLM selections, deeper customizability, and traditional ML methods.

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Towards AI

SEPTEMBER 3, 2024

Last Updated on September 3, 2024 by Editorial Team Author(s): Surya Maddula Originally published on Towards AI. Let’s discuss two popular ML algorithms, KNNs and K-Means. They are both ML Algorithms, and we’ll explore them more in detail in a bit. This member-only story is on us. Upgrade to access all of Medium.

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AWS Machine Learning Blog

MAY 16, 2025

In this post, we share how Amazon Web Services (AWS) is helping Scuderia Ferrari HP develop more accurate pit stop analysis techniques using machine learning (ML). Modernizing through partnership with AWS The partnership with AWS is helping Scuderia Ferrari HP modernize the challenging process of pit stop analysis, by using the cloud and ML.

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AWS Machine Learning Blog

DECEMBER 10, 2024

You can try this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for running inference. Net sales demonstrate a steady upward trend, culminating in a 9% year-over-year increase, with the highest value recorded in Q2 2024 at $90,033 million.

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Towards AI

MARCH 14, 2024

Last Updated on March 14, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. I mean, ML engineers often spend most of their time handling and understanding data. So, how is a data scientist different from an ML engineer? How do you best learn Data Science and then get a Job?

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Towards AI

JANUARY 11, 2024

Last Updated on January 11, 2024 by Editorial Team Author(s): Abhinav Kimothi Originally published on Towards AI. It is the fundamental optimization algorithm used for training models. Thankfully, there are various methods like GridSearch, Learning Rate Scheduling, Cyclic learning rates, Adaptive Algorithms, etc.,

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ML @ CMU

DECEMBER 12, 2024

The tracker uses an extended version of the Viterbi algorithm [3] to stabilize the frame-by-frame HAR prediction. PrISM-Tracker (right) improves the raw classifiers tracking accuracy (left) with an extended version of the Viterbi algorithm. The viterbi algorithm. 2024, October). . & 2024, October).

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Towards AI

FEBRUARY 20, 2024

Last Updated on February 20, 2024 by Editorial Team Author(s): Vaishnavi Seetharama Originally published on Towards AI. Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms.

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Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. Data Science enhances ML accuracy through preprocessing and feature engineering expertise.

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Dataconomy

MARCH 19, 2024

Get ready to dive into the latest advancements in artificial intelligence as we unpack everything unveiled at GTC 2024, the premier AI conference for developers, business leaders, and AI researchers. Enhanced partnership between Google Cloud and NVIDIA is announced to support the machine learning (ML) community.

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Flipboard

JUNE 4, 2025

In 2024, climate disasters caused more than $417B in damages globally, and theres no slowing down in 2025 with LA wildfires that destroyed more than $135B in the first month of the year alone. Their unifying mission is to create scalable solutions that accelerate the transition to a sustainable, low-carbon future.

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DrivenData Labs

APRIL 8, 2025

Overall, we recommend openSMILE for general ML applications. The transformers approach instead relies on algorithms to identify what features are useful for downstream modeling tasks. openSMILE ¶ openSMILE is a Pythonic, easy-to-use toolkit that can generate useful sets of features. Strengths: Very easy to use and well documented.

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Pickl AI

SEPTEMBER 16, 2024

Summary: This blog highlights ten crucial Machine Learning algorithms to know in 2024, including linear regression, decision trees, and reinforcement learning. Each algorithm is explained with its applications, strengths, and weaknesses, providing valuable insights for practitioners and enthusiasts in the field.

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AWS Machine Learning Blog

MAY 20, 2025

The company also had to manage inconsistent handwritten entries and the need to verify notarization and legal sealstasks that traditional optical character recognition (OCR) and AI and machine learning (AI/ML) solutions struggled to handle effectively.

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DrivenData Labs

MAY 12, 2025

In the Pose Bowl competition, winning solutions explored ways to implement object detection algorithms on limited hardware for use in space. Example output from Zamba Cloud, an application developed for conservation researchers building on data and algorithms from the Pri-matrix Factorization challenge.

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Towards AI

JULY 5, 2024

Last Updated on July 5, 2024 by Editorial Team Author(s): Christian Guerra Originally published on Towards AI. This publication is meant to show a very popular ML algorithm in complete detail, how it works, the math behind it, how to execute it in Python and an explanation of the proofs of the original paper.

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Towards AI

NOVEMBER 8, 2024

Last Updated on November 9, 2024 by Editorial Team Author(s): Houssem Ben Braiek Originally published on Towards AI. Data preparation isn’t just a part of the ML engineering process — it’s the heart of it. Data is a key differentiator in ML projects (more on this in my blog post below). This member-only story is on us.

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Towards AI

JANUARY 30, 2024

Last Updated on January 30, 2024 by Editorial Team Author(s): Tim Cvetko Originally published on Towards AI. The Top Secret Behind Effective LLM Training in 2024 Large-scale unsupervised language models (LMs) have shown remarkable capabilities in understanding and generating human-like text. How advanced is this post?

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AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. By providing multiple access points, SageMaker JumpStart helps you seamlessly incorporate pre-trained models into your AI/ML development efforts, regardless of your preferred interface or workflow.

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Dataconomy

AUGUST 2, 2024

Below is a list of AI tokens you need to know about for June 2024. Top AI crypto tokens of 2024 NEAR NEAR Protocol is a scalable and user-focused blockchain platform that would lead to convenient and effortless development and usability of dApps by end users. What are AI crypto tokens?

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Towards AI

OCTOBER 18, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Mdabdullahalhasib Originally published on Towards AI. For training machine learning algorithms with datasets, Machines only understand numbers. Understand the concept of vector embedding, why it is needed, and implementation with LangChain. This member-only story is on us.

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ODSC - Open Data Science

MARCH 12, 2025

By analyzing conference session titles and abstracts from 2018 to 2024, we can trace the rise and fall of key trends that shaped the industry. The Decline of Traditional MachineLearning 20182020: Algorithms like random forests, SVMs, and gradient boosting were frequent discussion points.

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Dataconomy

JULY 4, 2023

Hyper automation, which uses cutting-edge technologies like AI and ML, can help you automate even the most complex tasks. It’s also about using AI and ML to gain insights into your data and make better decisions. ML algorithms enable systems to identify patterns, make predictions, and take autonomous actions.

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Pickl AI

JUNE 8, 2025

The Rise of Augmented Analytics Augmented analytics is revolutionizing how data insights are generated by integrating artificial intelligence (AI) and machine learning (ML) into analytics workflows. Process – Applying analytical methods and algorithms. Frequently Asked Questions What is a Trend in Data Science?

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AWS Machine Learning Blog

MARCH 11, 2025

OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024. The goal is to index these five webpages dynamically using a common embedding algorithm and then use a retrieval (and reranking) strategy to retrieve chunks of data from the indexed knowledge base to infer the final answer.

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Towards AI

NOVEMBER 16, 2024

Last Updated on November 17, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. Generative modeling in computer vision has advanced significantly, with Diffusion Models leading the way and powering tools like DALL-E and Stable Diffusion.

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Dataconomy

OCTOBER 25, 2023

Projections indicate that Apple’s expenditure on AI servers could exceed $4 billion by 2024. Siri’s ML recommendations Machine learning algorithms power Siri’s suggestions, whether it’s prompting you to send a birthday message or integrating an event from your Mail app into the Calendar.

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