AI News

OCTOBER 18, 2024

Google CEO Sundar Pichai has announced a series of structural changes and leadership appointments aimed at accelerating the company’s AI initiatives. The restructuring sees the Gemini app team, led by Sissie Hsiao, joining Google DeepMind under the leadership of Demis Hassabis. “Bringing the teams closer together will improve feedback loops, enable fast deployment of our new models in the Gemini app, make our post-training work proceed more efficiently and build on our great product

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Analytics Vidhya

OCTOBER 18, 2024

The rise of generative AI (GenAI) is transforming the way digital marketers approach search engine optimization (SEO). GenAI-driven tools are helping businesses improve search rankings and drive organic traffic more efficiently than ever. According to a survey by seoClarity, 86% of companies have already integrated AI into their SEO strategy, and 83% of them have […] The post 12 Ways to Use Generative AI for SEO appeared first on Analytics Vidhya.

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Unite.AI

OCTOBER 18, 2024

The 2024 Nobel Prizes have taken many by surprise, as AI researchers are among the distinguished recipients in both Physics and Chemistry. Geoffrey Hinton and John J. Hopfield received the Nobel Prize in Physics for their foundational work on neural networks. In contrast, Demis Hassabis and his colleagues John Jumper and David Baker received the Chemistry prize for their groundbreaking AI tool that predicts protein structures.

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Analytics Vidhya

OCTOBER 18, 2024

I recently came across a post by Sebastian that caught my attention, and I wanted to dive deeper into its content. As models grow larger and more complex, efficiently managing memory during model loading becomes increasingly important, especially when working with limited GPU or CPU resources. In his post, Sebastian covers practical tips for loading […] The post Memory-Efficient Model Weight Loading in PyTorch appeared first on Analytics Vidhya.

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Speaker: Jay Allardyce

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

IBM Journey to AI blog

OCTOBER 18, 2024

Effective planning isn’t just a routine task—it’s a critical function that drives an organization’s strategic direction. As companies face rapid technological advancements, evolving consumer demands and global competition, business planning must adapt to stay relevant. When it comes to integrated planning solutions, it’s important to choose one that optimizes planning processes and delivers tangible economic impact.

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Unite.AI

OCTOBER 18, 2024

Jon Potter is a Partner and leads the State-Level AI Practice at RXN Group. He is an experienced lawyer, lobbyist, and communicator, has founded and led two industry associations and a consumer organization, and consulted many industries and organizations on legislative, communications and issue advocacy challenges. Jon founded the Digital Media Association, Fan Freedom, and the Application Developers Alliance, was Executive Vice President of the global communications firm Burson-Marsteller, and

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Algorithm AI AI 100

Analytics Vidhya

OCTOBER 18, 2024

If you’ve landed on this blog, you’ve probably heard the terms AI Agents or Agentic AI trending everywhere. Maybe you’re wondering what they are and how to learn about them – well, you’re in the right place! Welcome to the AI Agents Learning Path! This path will guide you through essential concepts, tools, and techniques […] The post Learning Path for AI Agents appeared first on Analytics Vidhya.

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Marktechpost

OCTOBER 18, 2024

Agentic systems have evolved rapidly in recent years, showing potential to solve complex tasks that mimic human-like decision-making processes. These systems are designed to act step-by-step, analyzing intermediate stages in tasks like humans do. However, one of the biggest challenges in this field is evaluating these systems effectively. Traditional evaluation methods focus only on the outcomes, leaving out critical feedback that could help improve the intermediate steps of problem-solving.

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Towards AI

OCTOBER 18, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Reslley Gabriel Originally published on Towards AI. We’ll explore the key factors to consider when choosing a vector database, including critical insights from recent industry analyses. Also, we’ll provide comparison tables to help you evaluate some of the leading options available today.

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Marktechpost

OCTOBER 18, 2024

Large language models (LLMs) have demonstrated significant reasoning capabilities, yet they face issues like hallucinations and the inability to conduct faithful reasoning. These challenges stem from knowledge gaps, leading to factual errors during complex tasks. While knowledge graphs (KGs) are increasingly used to bolster LLM reasoning, current KG-enhanced approaches—retrieval-based and agent-based—struggle with either accurate knowledge retrieval or efficiency in reasoning on a large scale.

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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. Understand the concept of vector embedding, why it is needed, and implementation with LangChain. This member-only story is on us. Upgrade to access all of Medium. Source: Image by Author (converting word into Vector) If you want to learn something efficiently, first, you should ask questions yourself or generate questions about the topics.

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Marktechpost

OCTOBER 18, 2024

Deep neural networks are powerful tools that excel in learning complex patterns, but understanding how they efficiently compress input data into meaningful representations remains a challenging research problem. Researchers from the University of California, Los Angeles, and New York University propose a new metric, called local rank, to measure the intrinsic dimensionality of feature manifolds within neural networks.

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Towards AI

OCTOBER 18, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Bhavesh Agone Originally published on Towards AI. An Introduction to Bayesian Analysis In its most basic form, Bayesian Inference is just a technique for summarizing statistical inference which states how likely an hypothesis is given any new evidence. The method comes from Bayes’ Theorem, which provides a way to calculate the probability that an event will happen or has happened, given any prior knowledge of conditions (from which an

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AI AI Data Science Machine Learning 82

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Marktechpost

OCTOBER 18, 2024

Large language models (LLMs) have revolutionized how machines process and generate human language, but their ability to reason effectively across diverse tasks remains a significant challenge. Researchers in AI are working to enable these models to perform not just language understanding but also complex reasoning tasks like problem-solving in mathematics, logic, and general knowledge.

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Towards AI

OCTOBER 18, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Gabe Araujo, M.Sc. Originally published on Towards AI. My journey deploying machine learning models on edge devices for real-time analytics. This member-only story is on us. Upgrade to access all of Medium. As the world of technology rapidly advances, there’s a growing demand to process data closer to its source rather than relying solely on the cloud.

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Marktechpost

OCTOBER 18, 2024

Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). These advanced models expand AI capabilities beyond text, allowing understanding and generation of content like images, audio, and video, signaling a significant leap in AI development.

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Extreme Tech

OCTOBER 18, 2024

The company is hoping to scoop up enterprise customers looking for a bang-for-the-buck AI solution.

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AI AI 110

Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

AI

Marktechpost

OCTOBER 18, 2024

Omni-modality language models (OLMs) are a rapidly advancing area of AI that enables understanding and reasoning across multiple data types, including text, audio, video, and images. These models aim to simulate human-like comprehension by processing diverse inputs simultaneously, making them highly useful in complex, real-world applications. The research in this field seeks to create AI systems that can seamlessly integrate these varied data types and generate accurate responses across differen

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Extreme Tech

OCTOBER 18, 2024

The system developed at University College London uses a combination of radio waves and light.

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Marktechpost

OCTOBER 18, 2024

The study investigates the emergence of intelligent behavior in artificial systems by examining how the complexity of rule-based systems influences the capabilities of models trained to predict those rules. Traditionally, AI development has focused on training models using datasets that reflect human intelligence, such as language corpora or expert-annotated data.

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Towards AI

OCTOBER 18, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Get The Gist Originally published on Towards AI. Welcome to Get The Gist, where every weekday we share an easy-to-read summary of the latest and greatest developments in AI — news, innovations, and trends — all delivered in under 5 minutes! ⏱ In today’s edition: Mistral AI Unveils Ministral 3B and 8B Models for Edge Computing Nvidia Quietly Launches AI Model that Outperforms GPT-4 YouTube Rolls Out AI Music Tool “Dream Tracks” to U.S.

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Extreme Tech

OCTOBER 18, 2024

The company says the kit failed to meet its 'standards of excellence.

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Towards AI

OCTOBER 18, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Mukundan Sankar Originally published on Towards AI. How Retrieval-Augmented Generation (RAG) Can Boost NLP Projects with Real-Time Data for Smarter AI Models This member-only story is on us. Upgrade to access all of Medium. Image illustrating how Retrieval-Augmented Generation (RAG) can boost NLP projects with real-time data for smarter AI models generated using ChatGPT by the Author We’ve seen some pretty amazing advancements in Natu

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Extreme Tech

OCTOBER 18, 2024

The agency wants to understand how well Teslas can drive when conditions affect visibility.

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Artificial Corner

OCTOBER 18, 2024

Hi! In this week’s guest post, Diana is sharing with us how to turn your draws into AI images. Diana runs a Substack called AI Girl , a weekly newsletter that helps you learn how to use AI in different areas (art, languages, etc) Lately she created a complete guide on how to create better images with Midjourney. Check it out! I’m not a professional artist, but I love drawing things on my sketchbook or iPad.

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ChatGPT AI Tools AI AI 64

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

Extreme Tech

OCTOBER 18, 2024

The Windows app does not yet support voice commands, and some integrations with OpenAI's GPT Store are currently unavailable.

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Marktechpost

OCTOBER 18, 2024

Large Language Models (LLMs) have gained significant traction in recent years, with fine-tuning pre-trained models for specific tasks becoming a common practice. However, this approach needs help in resource efficiency when deploying separate models for each task. The growing demand for multitask learning solutions has led researchers to explore model merging as a viable alternative.

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Towards AI

OCTOBER 18, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re the captain of a high-tech ship, with intelligent agents ready to work for you — each agent skilled at analyzing data, generating insights, or performing specific actions.

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