AI News
OCTOBER 18, 2024
Blockchain can become a potent force as the foundation of decentralised AI systems, transparent and fair – ensuring everyone can access not only the technology, but the rewards it delivers. Blockchain has enormous potential to democratise access to AI by addressing concerns around centralisation that have emerged with the growing dominance of companies like OpenAI, Google, and Anthropic.
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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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
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.
Speaker: Kevin Burke
AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.
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.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Extreme Tech
OCTOBER 18, 2024
One eye scanner to detect them all.
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.
Machine Learning Mastery
OCTOBER 18, 2024
As a data scientist, you probably know how to build machine learning models. But it’s only when you deploy the model that you get a useful machine learning solution. And if you’re looking to learn more about deploying machine learning models, this guide is for you.
Extreme Tech
OCTOBER 18, 2024
It's just a tad bit late to market due to a 'respin.
Speaker: Joe Stephens, J.D., Attorney and Law Professor
Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.
Marktechpost
OCTOBER 18, 2024
One of the primary challenges in developing advanced text-to-speech (TTS) systems is the lack of expressivity when transcribing and generating speech. Traditionally, large language models (LLMs) used for building TTS pipelines convert speech to text using automatic speech recognition (ASR), process it using an LLM, and then convert the output back to speech via TTS.
Extreme Tech
OCTOBER 18, 2024
The system developed at University College London uses a combination of radio waves and light.
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.
AWS Machine Learning Blog
OCTOBER 18, 2024
This post is co-written Rodrigo Amaral, Ashwin Murthy and Meghan Stronach from Qualcomm. In this post, we introduce an innovative solution for end-to-end model customization and deployment at the edge using Amazon SageMaker and Qualcomm AI Hub. This seamless cloud-to-edge AI development experience will enable developers to create optimized, highly performant, and custom managed machine learning solutions where you can bring you own model (BYOM) and bring your own data (BYOD) to meet varied busin
Speaker: Carolyn Clark and Miriam Connaughton
Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.
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.
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.
Extreme Tech
OCTOBER 18, 2024
The agency wants to understand how well Teslas can drive when conditions affect visibility.
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.
Speaker: Joe Stephens, J.D., Attorney and Law Professor
Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.
Extreme Tech
OCTOBER 18, 2024
The company is hoping to scoop up enterprise customers looking for a bang-for-the-buck AI solution.
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
Extreme Tech
OCTOBER 18, 2024
The company says the kit failed to meet its 'standards of excellence.
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.
Speaker: David Warren and Kevin O'Neill Stoll
Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng
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.
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.
Extreme Tech
OCTOBER 18, 2024
The problem commonly affects the right edge, but some users are reporting issues with both edges.
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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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.
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
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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