AI News

MAY 15, 2023

We specialise in using emerging state-of-the-art technologies, such as artificial intelligence, big data and blockchain, to solve real business problems. With machine learning and artificial intelligence the behaviour is defined by the data, which means that we hardly ever know in advance what the quality of our data is.

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AI News

JULY 28, 2023

According to a recent report by Harnham , a leading data and analytics recruitment agency in the UK, the demand for ML engineering roles has been steadily rising over the past few years. Advancements in AI and ML are transforming the landscape and creating exciting new job opportunities.

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Marktechpost

JULY 27, 2024

Don’t Forget to join our 47k+ ML SubReddit Find Upcoming AI Webinars here The post CompeteAI: An Artificial Intelligence AI Framework that Understands the Competition Dynamics of Large Language Model-based Agents appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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Marktechpost

SEPTEMBER 24, 2024

Don’t Forget to join our 50k+ ML SubReddit FREE AI WEBINAR: ‘SAM 2 for Video: How to Fine-tune On Your Data’ (Wed, Sep 25, 4:00 AM – 4:45 AM EST) The post Researchers at Rice University Introduce RAG-Modulo: An Artificial Intelligence Framework for Improving the Efficiency of LLM-Based Agents in Sequential Tasks appeared first on MarkTechPost.

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ODSC - Open Data Science

SEPTEMBER 13, 2024

Virtual Webinar: Building Multimodal Question-Answering (RAG) system with Gemini with Lavi Nigam September 26, 2024, 12:00 PM ET In this virtual webinar, you’ll learn how to leverage Gemini’s 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis.

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Marktechpost

SEPTEMBER 25, 2024

With the rapid advancement of technology, surpassing human abilities in tasks like image classification and language processing, evaluating the energy impact of ML is essential. Historically, ML projects prioritized accuracy over energy efficiency, contributing to increased energy consumption.

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Marktechpost

SEPTEMBER 17, 2024

ML models are increasingly used in weather forecasting, offering accurate predictions and reduced computational costs compared to traditional numerical weather prediction (NWP) models. Despite advancements, ML models still struggle with prediction continuity and temporal resolution. Additionally, FuXi-2.0’s

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AI Weekly

AUGUST 15, 2024

theverge.com Sponsor Bridging AI, Vector Embeddings and the Data Lakehouse - Live Webinar Join NielsenIQ and Onehouse to explore the crucial role of vector embeddings in AI. artificialintelligence-news.com A world-first law in Europe is targeting artificial intelligence. Powered by onehouse.ai But most are doing it wrong.

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Marktechpost

JULY 28, 2024

Don’t Forget to join our 47k+ ML SubReddit Find Upcoming AI Webinars here The post OpenDevin: An Artificial Intelligence Platform for the Development of Powerful AI Agents that Interact in Similar Ways to Those of a Human Developer appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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Marktechpost

AUGUST 11, 2024

If you like our work, you will love our newsletter.

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Marktechpost

JULY 23, 2024

The recent machine-learning (ML) models have remarkably succeeded in short-term weather forecasts. Don’t Forget to join our 47k+ ML SubReddit Find Upcoming AI Webinars here The post Google AI Introduces NeuralGCM: A New Machine Learning (ML) based Approach to Simulating Earth’s Atmosphere appeared first on MarkTechPost.

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AWS Machine Learning Blog

JANUARY 13, 2023

In this post, we show you how Parsons is building its next generation workforce by using machine learning (ML) and artificial intelligence (AI) with AWS DeepRacer in a fun and collaborative way. Parsons is on a mission to make AI/ML a foundation of business across the company. Director Jennifer Bergstrom.

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Marktechpost

JULY 23, 2024

AI and ML in Untargeted Metabolomics and Exposomics: Metabolomics employs a high-throughput approach to measure a variety of metabolites and small molecules in biological samples, providing crucial insights into human health and disease. The HRMS generates data in three dimensions: mass-to-charge ratio, retention time, and abundance.

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Marktechpost

JULY 24, 2024

An improvement in AutoML for dealing with complicated data modalities, including tabular-text, text-vision, and vision-text-tabular configurations, the proposed method simplifies and guarantees the efficiency and adaptability of multimodal ML pipelines. The Sequential Model-Based Optimization (SMBO) approach uses it as a search space.

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ODSC - Open Data Science

FEBRUARY 10, 2023

Faster Training and Inference Using the Azure Container for PyTorch in Azure ML If you’ve ever wished that you could speed up the training of a large PyTorch model, then this post is for you. In this post, we’ll cover the basics of this new environment, and we’ll show you how you can use it within your Azure ML project.

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Marktechpost

JULY 20, 2024

This achievement underscores DeepSeek’s commitment to advancing the field of artificial intelligence and providing top-tier solutions for conversational AI applications. In conclusion, the release of DeepSeek-V2-Chat-0628 for DeepSeek showcases its ongoing dedication to innovation in artificial intelligence.

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Marktechpost

JULY 28, 2024

In the past decade, the data-driven method utilizing deep neural networks has driven artificial intelligence success in various challenging applications across different fields. Moreover, a significant barrier in this field is the lack of communication between domain experts and advanced artificial intelligence models.

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ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

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Marktechpost

AUGUST 15, 2024

One primary driver for artificial intelligence research in mathematical reasoning is that it may further increase model understanding and problem-solving abilities on complex mathematical problems. This makes it quite a comprehensive tool for enhancing the reasoning ability of artificial intelligence models.

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AI News

AUGUST 16, 2024

The benchmark, previously known as Geekbench ML during its preview phase, has been rebranded to align with industry terminology and ensure clarity about its purpose. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The release of Geekbench AI 1.0

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Marktechpost

SEPTEMBER 24, 2024

These graphs have become fundamental in artificial intelligence, natural language processing, and recommendation systems. Its ability to handle both transductive and inductive reasoning tasks positions it as a robust tool for future artificial intelligence and machine learning applications. Check out the Paper.

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Marktechpost

SEPTEMBER 16, 2024

Deep learning has made significant strides in artificial intelligence, particularly in natural language processing and computer vision. However, even the most advanced systems often fail in ways that humans would not, highlighting a critical gap between artificial and human intelligence.

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Marktechpost

JULY 29, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly advancing fields that have significantly impacted various industries. Autonomous agents, a specialized branch of AI, are designed to operate independently, make decisions, and adapt to changing environments. If you like our work, you will love our newsletter.

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Marktechpost

OCTOBER 17, 2024

Artificial Intelligence is evolving significantly, and Large Language Models have shown a remarkable capacity to comprehend human-text inputs. Don’t Forget to join our 50k+ ML SubReddit. Going beyond simple text to analyzing and generating code, LLMs have shown promising results in software development.

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Marktechpost

SEPTEMBER 19, 2024

Artificial intelligence, particularly using Large Language Models (LLMs), has significantly impacted this field. Software engineering integrates principles from computer science to design, develop, and maintain software applications. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

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Marktechpost

AUGUST 1, 2024

series, representing a significant step forward in artificial intelligence, particularly in detecting hallucinations in AI-generated content. Don’t Forget to join our 47k+ ML SubReddit Find Upcoming AI Webinars here The post Patronus AI Releases Lynx v1.1: Patronus AI released the LYNX v1.1

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Marktechpost

OCTOBER 20, 2024

Large language models (LLMs) have revolutionized various domains, including code completion, where artificial intelligence predicts and suggests code based on a developer’s previous inputs. Don’t Forget to join our 50k+ ML SubReddit. Despite the promise of LLMs, many models struggle with balancing speed and accuracy.

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Marktechpost

AUGUST 28, 2024

Advances in AI, particularly ML, have revolutionized predictive modeling across various fields, including agriculture. Integrating AI with soil microbiome data, alongside conventional physicochemical parameters and productivity metrics, could lead to developing a dynamic and flexible Artificially Intelligent Soil Quality Index (AISQI).

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Marktechpost

JULY 30, 2024

The National Institute of Standards and Technology (NIST) has developed Dioptra to address the challenge of ensuring the trustworthiness and security of artificial intelligence (AI) models. Dioptra is a comprehensive software platform that evaluates the trustworthy characteristics of AI.

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Marktechpost

SEPTEMBER 17, 2024

Artificial Intelligence (AI) and Machine Learning (ML) have been transformative in numerous fields, but a significant challenge remains in the reproducibility of experiments. Researchers frequently rely on previously published work to validate or extend their findings. If you like our work, you will love our newsletter.

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ODSC - Open Data Science

FEBRUARY 17, 2023

ChatGPT: The Google Killer, Distributed Training with PyTorch and Azure ML, and Many Models Batch Training Distributed Training with PyTorch and Azure ML Continue reading to learn the simplest way to do distributed training with PyTorch and Azure ML.

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Marktechpost

OCTOBER 19, 2024

Researchers from Shanghai Artificial Intelligence Laboratory, The Chinese University of Hong Kong, ByteDance, and The University of Hong Kong characterize the scaling behavior of diffusion models for text-to-image synthesis, establishing explicit scaling laws for DiT. Don’t Forget to join our 50k+ ML SubReddit.

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Marktechpost

SEPTEMBER 13, 2024

Language models (LMs), especially those using Transformer architectures like GPT-4, have made significant progress in artificial intelligence. This theory distinguishes between System 1, which operates intuitively and rapidly, and System 2, which involves deliberate and complex reasoning.

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ODSC - Open Data Science

AUGUST 3, 2023

ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for AI Harnessing Machine Learning on Big Data with PySpark on AWS In this brief tutorial, you’ll learn some basics on how to use Spark on AWS for machine learning, MLlib, and more. You Can Now Watch the Generative AI Summit On-Demand Here!

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Marktechpost

AUGUST 13, 2024

To aid in diagnosing, characterizing, and comprehending disease, computational pathology uses digital WSIs in conjunction with artificial intelligence (AI). This allows computational pathology to transition from being used primarily as academic proof points to becoming routine tools in clinical practice.

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Marktechpost

JULY 28, 2024

Large Language Models (LLMs) are a subset of artificial intelligence focusing on understanding and generating human language. These models leverage complex architectures to comprehend and produce human-like text, facilitating applications in customer service, content creation, and beyond.

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Marktechpost

AUGUST 5, 2024

These models have been trained at an impressively low cost of under $25 each, positioning them as efficient and economical solutions in artificial intelligence. The BRAG models are a family of small language models (SLMs) designed to offer cost-effective, high-performance alternatives in AI-driven language processing.

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