ML @ CMU

JANUARY 2, 2025

Motivation Despite the tremendous success of AI in recent years, it remains true that even when trained on the same data, the brain outperforms AI in many tasks, particularly in terms of fast in-distribution learning and zero-shot generalization to unseen data. 2018 ) to enhance training (see Materials and Methods in Zhang et al.,

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Data Science Dojo

SEPTEMBER 8, 2023

Artificial Intelligence (AI) and Predictive Analytics are revolutionizing the way engineers approach their work. This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. Read more –> Data Science vs AI – What is 2023 demand for?

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Flipboard

JUNE 30, 2025

Publish AI, ML & data-science insights to a global community of data professionals. In 2018-ish, when I took my first university courses on classic machine learning, behind the scenes, key methods were already being developed that would lead to AI’s boom in the early 2020s. You want to train ML models.

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ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

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Flipboard

APRIL 13, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses.

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Hacker News

JANUARY 26, 2024

As the number of accepted papers at AI and ML conferences reaches into the thousands, it has become unclear how researchers access and read research publications.

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ODSC - Open Data Science

MARCH 22, 2023

Be sure to check out his session, “ Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI ,” there! Anybody who has worked on a real-world ML project knows how messy data can be. What exactly is data-centric AI? Everybody knows you need to clean your data to get good ML performance.

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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 Rise of AI Engineering andMLOps 20182019: Early discussions around MLOps and AI engineering were sparse, primarily focused on general machine learning best practices.

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Dataconomy

MARCH 12, 2025

As AI technologies continue to evolve and impact various sectors, the need for clear, standardized documentation about machine learning models grows ever more critical. This trend underscores the shift towards responsible AI practices, driven by the challenges posed by biases and ethical concerns related to machine learning.

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Flipboard

JANUARY 14, 2025

Large language model (LLM) based AI agents that have been specialized for specific tasks have demonstrated great problem-solving capabilities. The research team at AWS has worked extensively on building and evaluating the multi-agent collaboration (MAC) framework so customers can orchestrate multiple AI agents on Amazon Bedrock Agents.

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Dataconomy

MARCH 19, 2025

These specialized processing units allow data scientists and AI practitioners to train complex models faster and at a larger scale than traditional hardware, propelling advancements in technologies like natural language processing, image recognition, and beyond.

Machine Learning 91

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Hacker News

OCTOBER 15, 2024

At the Open Compute Project (OCP) Global Summit 2024, we’re showcasing our latest open AI hardware designs with the OCP community. These innovations include a new AI platform, cutting-edge open rack designs, and advanced network fabrics and components. Prior to Llama, our largest AI jobs ran on 128 NVIDIA A100 GPUs.

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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. Flammarion “Non-convex min-max optimisation”, [link] Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. Daskalakis and I.

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AWS Machine Learning Blog

APRIL 7, 2025

These models are designed for industry-leading performance in image and text understanding with support for 12 languages, enabling the creation of AI applications that bridge language barriers. With SageMaker AI, you can streamline the entire model deployment process.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Multi-modal agents are AI systems that can understand and analyze data in multiple modalities using the right tools in their toolkit. Multi-modal agents, in conjunction with generative AI, are finding a wide spread application in financial markets. Detecting fraudulent collusion across data types requires multi-modal analysis.

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Google Research AI blog

MAY 15, 2023

This became apparent in 2018, when the Gender Shades study highlighted that computer vision systems struggled to detect people with darker skin tones, and performed particularly poorly for women with darker skin tones. How do we effectively annotate skin tone for use in inclusive machine learning (ML)?

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AWS Machine Learning Blog

NOVEMBER 26, 2024

By harnessing the power of threat intelligence, machine learning (ML), and artificial intelligence (AI), Sophos delivers a comprehensive range of advanced products and services. The Sophos Artificial Intelligence (AI) group (SophosAI) oversees the development and maintenance of Sophos’s major ML security technology.

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phData

JUNE 26, 2025

In addition, most AI-GDP studies end in 2017, capturing the rise in intangible investment but missing the post-2018 GenAI wave, so they show no productivity rebound. Since OpenAI released its first LLM in 2018, rapid model improvements have outpaced organizational adaptation. Daron Acemoglu expects only a 0.06

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AWS Machine Learning Blog

JUNE 26, 2024

This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets. This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. AI-powered assistants for investment research So, what are AI-powered assistants?

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AWS Machine Learning Blog

APRIL 11, 2025

Announced at re:Invent 2018, it puts machine learning in the hands of every developer through the fun and excitement of developing and racing self-driving remote control cars. This enabled participants to use a no-code AI generated app for creating synthetic training data that were used for fine-tuning.

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AWS Machine Learning Blog

AUGUST 29, 2024

The AWS DeepRacer League is the world’s first autonomous racing league, open to everyone and powered by machine learning (ML). AWS DeepRacer brings builders together from around the world, creating a community where you learn ML hands-on through friendly autonomous racing competitions.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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Smart Data Collective

OCTOBER 8, 2021

This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. As such, over 56% of hedge fund managers use AI and ML when making investment decisions. This is according to Barclay Hedge founder and President Sol Waksman in his July 2018 statement. Pre-train tests.

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Flipboard

MAY 29, 2025

Custom geospatial machine learning : Fine-tune a specialized regression, classification, or segmentation model for geospatial machine learning (ML) tasks. This routine can be conducted at scale using an Amazon SageMaker AI processing job. If you need to generate embedding asynchronously, use a SageMaker AI processing or transform step.

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AWS Machine Learning Blog

JULY 9, 2024

Sonnet currently ranks at the top of S&P AI Benchmarks by Kensho , which assesses large language models (LLMs) for finance and business. Kensho is the AI Innovation Hub for S&P Global. The evaluation tasks S&P AI Benchmarks evaluates LLMs using a wide range of questions concerning finance and business.

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Flipboard

JULY 1, 2025

Submit Personal Finance City AM Events Newsletters Latest Paper Sign In Sign Out My Account Tuesday 01 July 2025 1:06 pm | Updated: Tuesday 01 July 2025 1:07 pm Hey Siri: Can ChatGPT save Apple’s AI woes? Why Apple’s AI strategy is faltering The backdrop to all this is increasing instability within Apple’s AI ranks.

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O'Reilly Media

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed.

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AWS Machine Learning Blog

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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AWS Machine Learning Blog

APRIL 19, 2023

Business requirements We are the US squad of the Sportradar AI department. Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. These models are then pushed to an Amazon Simple Storage Service (Amazon S3) bucket using DVC, a version control tool for ML models.

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AWS Machine Learning Blog

MAY 14, 2024

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

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Dataconomy

FEBRUARY 14, 2024

In the wake of the Mozilla layoffs, the company behind the famous browser has showed revisions to its product strategy ( Image credit ) Additionally, Mozilla has decided to discontinue Hubs, its 3D virtual environment introduced in 2018, and reduce its commitment to the mozilla.social Mastodon instance. Optimizing our org to sharpen focus.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

Medical imaging AI researchers and developers need a scalable, enterprise framework to build, deploy, and integrate their AI applications. We have developed a MONAI Deploy connector to AHI to integrate medical imaging AI applications with subsecond image retrieval latencies at scale powered by cloud-native APIs.

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Flipboard

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. We then explain the details of the ML methodology and model training procedures.

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IBM Journey to AI blog

MARCH 21, 2024

5G, or fifth-generation mobile technology , is a new specification for wireless networks developed in 2018 by the 3rd Generation Partnership Project (3DPP) to guide the development of devices, including smartphones, PCs, tablets and more, that are designed to run on 5G networks. What is 5G?

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ML @ CMU

OCTOBER 7, 2024

Stability AI 2024 ] address this by training on higher-quality image-text pairs (often using language models such as GPT-4 to rewrite captions) or using strong language encoders like T5 [ Raffel et al., CVPR 2018 ] uses a pre-trained image encoder to embed and compare image features, with higher similarity indicating the images look alike.

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ODSC - Open Data Science

APRIL 17, 2023

Source Purpose of Using DevSecOps in Traditional and ML Applications The DevSecOps practices are different in traditional and ML applications as each comes with different challenges. The characteristics which we saw for DevSecOps for traditional applications also apply to ML-based applications.

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ODSC - Open Data Science

SEPTEMBER 21, 2023

Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. Some typical examples are given in the following table, along with some discussion as to whether or not ML would be an appropriate tool for solving the problem: Figure 1.1:

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