Defined.ai blog

OCTOBER 9, 2022

Fight sophisticated cyber attacks with AI and ML When “virtual” became the standard medium in early 2020 for business communications from board meetings to office happy hours, companies like Zoom found themselves hot in demand. The post Using Artificial Intelligence as a Powerful Cybersecurity Tool appeared first on Defined.ai.

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AWS Machine Learning Blog

APRIL 5, 2024

Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020. SageMaker Processing enables the flexible scaling of compute clusters to accommodate tasks of varying sizes, from processing a single city block to managing planetary-scale workloads.

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Flipboard

APRIL 4, 2023

The standard cells are then collected into clusters to help speed up the training process. Recall that, as a preprocessing step, the reinforcement learning method gathers up the standard cells into clusters. Circuit Training then starts placing the macros on the chip “canvas” one at a time.

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Hacker News

NOVEMBER 15, 2023

The Story of the Name Patrick Lewis, lead author of the 2020 paper that coined the term , apologized for the unflattering acronym that now describes a growing family of methods across hundreds of papers and dozens of commercial services he believes represent the future of generative AI.

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AWS Machine Learning Blog

JUNE 7, 2023

In early 2020, research organizations across the world set the emphasis on model size, observing that accuracy correlated with number of parameters. For example, GPT-3 (2020) and BLOOM (2022) feature around 175 billion parameters, Gopher (2021) has 230 billion parameters, and MT-NLG (2021) 530 billion parameters.

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Dataconomy

APRIL 26, 2023

The strategic value of IoT development and data analytics Sierra Wireless Sierra Wireless , a wireless communications equipment designer and service provider, has been honing its focus on IoT software and managed services following its acquisition of M2M Group, a cluster of companies dedicated to IoT connectivity, in 2020.

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IBM Journey to AI blog

SEPTEMBER 13, 2023

Since 2020, Ubotica has been providing space AI capabilities to the European Space Agency and NASA JPL. The initial install is a Red Hat OpenShift Kubernetes Service (ROKS) cluster , on which Ubotica will be deploying components to create a hybrid cloud AI platform.

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Mlearning.ai

APRIL 8, 2023

What is Natural Language Processing (NLP) Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that deals with interactions between computers and human languages. 2020) “GPT-4 Technical report ” by Open AI. Before we go any further, let’s introduce NLP.

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Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

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AWS Machine Learning Blog

OCTOBER 30, 2024

These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval. For this demonstration, we use a public Amazon product dataset called Amazon Product Dataset 2020 from a kaggle competition.

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AWS Machine Learning Blog

MAY 23, 2023

Fargate is a technology that you can use with Amazon ECS to run containers without having to manage servers or clusters or virtual machines. On the Amazon ECS console, you can see the clusters on the Clusters page. Model data is stored on Amazon Simple Storage Service (Amazon S3) in the JumpStart account. for the full code.

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Flipboard

NOVEMBER 24, 2023

SnapLogic’s AI journey In the realm of integration platforms, SnapLogic has consistently been at the forefront, harnessing the transformative power of artificial intelligence. Dr. Farooq Sabir is a Senior Artificial Intelligence and Machine Learning Specialist Solutions Architect at AWS. Sandeep holds an MSc.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

For a given frame, our features are inspired by the 2020 Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ): we construct an image for each time step with the defensive players at the rows and offensive players at the columns. He started at the NFL in February 2020 as a Data Scientist and was promoted to his current role in December 2021.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration. The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference.

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ODSC - Open Data Science

FEBRUARY 20, 2025

Muses Work inGaming Muse is part of the World and Human Action Model (WHAM) framework and was created through a collaboration between Microsoft Researchs Game Intelligence and Teachable AI Experiences teams, along with Xbox Game Studios Ninja Theory. The release marks a significant step toward integrating generative AI into game design.

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Towards AI

FEBRUARY 11, 2025

Ill say it again the story of artificial intelligence over the past decade is fundamentally a story about data. 2020) Scaling Laws for Neural Language Models [link] First formal study documenting empirical scaling laws Published by OpenAI The Data Quality Conundrum Not all data is created equal.

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Pickl AI

JULY 18, 2023

The salary of an Artificial Intelligence Architect in India ranges between ₹ 18.0 An AI Architect is a skilled professional responsible for designing and implementing artificial intelligence solutions within an organization. from 2023 to 2030. Lakhs to ₹ 56.7 Their average annual salary is ₹ 31.8 Who is an AI Architect?

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ODSC - Open Data Science

SEPTEMBER 11, 2023

If you’re training one model, you’re probably training a dozen — hyperparameter optimization, multi-user clusters, & iterative exploration all motivate multi-model training, blowing up compute demands further still. Industry clusters receive jobs from hundreds of users & pipelines. Second, resource apportioning.

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ODSC - Open Data Science

MAY 30, 2023

For example, rising interest rates and falling equities already in 2013 and again in 2020 and 2022 led to drawdowns of risk parity schemes. In 2023-Q1, we even saw failing banks like SVB simply because of investments in “safe” treasury bonds.

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AWS Machine Learning Blog

APRIL 19, 2024

This solution includes the following components: Amazon Titan Text Embeddings is a text embeddings model that converts natural language text, including single words, phrases, or even large documents, into numerical representations that can be used to power use cases such as search, personalization, and clustering based on semantic similarity.

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Mlearning.ai

JANUARY 31, 2023

It turned out that a better solution was to annotate data by using a clustering algorithm, in particular, I chose the popular K-means. So I simply run the K-means on the whole dataset, partitioning it into 4 different clusters. The label of a cluster was set as a label for every one of its samples. in both metrics. and Corke, P.,

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Heartbeat

AUGUST 23, 2023

NLP is fundamentally an interdisciplinary field that blends linguistics, computer science, and artificial intelligence to provide robots with the capacity to comprehend and analyze human language. Artificial intelligence in law: The state of play 2016. But exactly what is NLP , and how can it facilitate legal discovery?

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Heartbeat

DECEMBER 5, 2023

Image Source: NVIDIA A100 — The Revolution in High-Performance Computing The A100 is the pioneer of NVIDIA’s Ampere architecture and emerged as a GPU that redefined computing capability when it was introduced in the first half of 2020. The A100 has significantly improved, especially compared to its previous series, the Volta.

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Mlearning.ai

DECEMBER 21, 2023

The Curse of the LLMs 30th November, 2022 will be remembered as the watershed moment in artificial intelligence. In May 2020, researchers in their paper “ Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks ” explored models which combine pre-trained parametric and non-parametric memory for language generation.

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PyImageSearch

JULY 3, 2023

Figure 2: Multi-dimensionality of Netflix recommendation system (source: Basilico, “Recent Trends in Personalization at Netflix,” NeurIPS , 2020 ). Figure 10: How contextual bandits work (source: Hardy, “Next-Best-Action Recommendation,” Ambiata, 2020 ). And it goes on to personalize title images, trailers, metadata, synopsis, etc.

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AWS Machine Learning Blog

MAY 2, 2023

in 2020 as a model where parametric memory is a pre-trained seq2seq model and the non-parametric memory is a dense vector index of Wikipedia, accessed with a pre-trained neural retriever. RAG retrieves data from outside the language model (non-parametric) and augments the prompts by adding the relevant retrieved data in context.

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. And this is not just us saying it.

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. And this is not just us saying it.

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ODSC - Open Data Science

JULY 11, 2023

Conversational artificial intelligence has been around for almost 60 years now. It uses a form of artificial intelligence called Reinforcement Learning from Human Feedback to produce answers based on human-guided computer analytics.2 ChatGPT is well suited to this type of situation.

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DagsHub

JULY 15, 2024

Introduction Large Language Models (LLMs) represent the cutting-edge of artificial intelligence, driving advancements in everything from natural language processing to autonomous agentic systems. T5 : T5 stands for Text-to-Text Transfer Transformer, developed by Google in 2020.

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PyImageSearch

MAY 1, 2023

Redmon and Farhadi (2017) published YOLOv2 at the CVPR Conference and improved the original model by incorporating batch normalization, anchor boxes, and dimension clusters. My mission is to change education and how complex Artificial Intelligence topics are taught. The authors continued from there. Yes, you read it right!

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Dataconomy

FEBRUARY 5, 2025

Artificial intelligence is reshaping industries at a breakneck pace, but few transitions have been as boldor as successfulas the one pulled off by DeepSeek. What made their pivot from financial markets to artificial general intelligence (AGI) not just plausible, but a record breaking success? But how did they do it?

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Hacker News

JUNE 15, 2025

Glushkov Institute of Cybernetics of the National Academy of Sciences (NAS) of Ukraine, working on early artificial intelligence systems and cybernetic theory. According to associates, his decision was directly influenced by mapping UFO sighting clusters and abduction reports across the United States.

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