Mon.Sep 23, 2024

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Using AI to conserve the endangered African forest elephant

IBM Journey to AI blog

In the Congo Basin, the second-largest rainforest in the world, the African forest elephant population has been in drastic decline for decades. This decline is the result of habitat loss caused by deforestation and climate change, along with rampant poaching. We can observe the beneficial environmental effects of these species starting to disappear.

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Mistral Large 2 vs Claude 3.5 Sonnet: Performance, Accuracy, and Efficiency

Analytics Vidhya

Introduction In the dynamic realm of artificial intelligence, innovation never stands still, and new models continuously emerge, vying for attention and application. Among the latest breakthroughs are Mistral Large 2 and Anthropic’s Claude 3.5 Sonnet, each representing distinct approaches to harnessing AI’s potential. Mistral Large 2 focuses on performance and versatility, promising to handle a […] The post Mistral Large 2 vs Claude 3.5 Sonnet: Performance, Accuracy, and Effici

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Beyond the Hype: Unveiling the Real Impact of Generative AI in Drug Discovery

Unite.AI

Since Insilico Medicine developed a drug for idiopathic pulmonary fibrosis (IPF) using generative AI, there's been a growing excitement about how this technology could change drug discovery. Traditional methods are slow and expensive , so the idea that AI could speed things up has caught the attention of the pharmaceutical industry. Startups are emerging, looking to make processes like predicting molecular structures and simulating biological systems more efficient.

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Automating Data Quality Checks with Dagster and Great Expectations

Analytics Vidhya

Introduction Ensuring data quality is paramount for businesses relying on data-driven decision-making. As data volumes grow and sources diversify, manual quality checks become increasingly impractical and error-prone. This is where automated data quality checks come into play, offering a scalable solution to maintain data integrity and reliability. At my organization, which collects large volumes of […] The post Automating Data Quality Checks with Dagster and Great Expectations appeared fi

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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Kunal Anand, F5: Shaping AI-optimised networks and enhancing security

AI News

As AI applications evolve, they place greater demands on network infrastructure, particularly in terms of latency and connectivity. Supporting large-scale AI deployments introduces new issues, and analysts predict that AI-related traffic will soon account for a major portion of total network traffic. The industry must be prepared to handle this surge effectively.

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Why Can’t Generative Video Systems Make Complete Movies?

Unite.AI

The advent and progress of generative AI video has prompted many casual observers to predict that machine learning will prove the death of the movie industry as we know it – instead, single creators will be able to create Hollywood-style blockbusters at home, either on local or cloud-based GPU systems. Is this possible? Even if it is possible, is it imminent , as so many believe?

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LLMs on Mobile: Present and Future Possibilities

Analytics Vidhya

Introduction The smartphone industry is witnessing a new war! Companies are competing to integrate advanced generative AI features into their devices. From enhancing user interactions to transforming efficiency, the rivalry is intense. Apple recently released the iPhone 16 series, but the long-awaited AI capabilities, driven by Apple Intelligence, will not be fully accessible until December. […] The post LLMs on Mobile: Present and Future Possibilities appeared first on Analytics Vidhya.

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Duolingo Review: Can You Reach 100% Fluency? My Experience

Unite.AI

Learning a new language can easily be overwhelming. Between memorizing vocabulary, grasping tricky grammar rules , and practicing pronunciation , it’s no wonder many give up before getting started. Duolingo , however, offers a refreshing alternative! Unlike traditional methods that rely on textbooks and rigid classroom settings, Duolingo is free, accessible, and gamified.

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Building Multi-Agentic System with CrewAI and Ollama

Analytics Vidhya

Introduction Don’t want to spend money on APIs, or are you concerned about privacy? Or do you just want to run LLMs locally? Don’t worry; this guide will help you build agents and multi-agent frameworks with local LLMs that are completely free to use. We’ll explore how to build agentic frameworks with CrewAI and Ollama […] The post Building Multi-Agentic System with CrewAI and Ollama appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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The Rising Danger of Ransomware and How to Recover From an Attack

Unite.AI

When an organization begins to expand, they’ll likely be faced with a number of operational challenges they need to address. While all businesses have unique roadblocks they’ll need to navigate around, one of the most common issues that all organizations are dealing with today are cyber threats. Considering the global surge in cybercrime year-over-year, it’s likely that most organizations will have to deal with at least one major security threat in the near future.

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How to Build Multi-Agent System with CrewAI and Ollama?

Analytics Vidhya

Introduction Don’t want to spend money on APIs, or are you concerned about privacy? Or do you just want to run LLMs locally? Don’t worry; this guide will help you build agents and multi-agent frameworks with local LLMs that are completely free to use. We’ll explore how to build agentic frameworks with CrewAI and Ollama […] The post How to Build Multi-Agent System with CrewAI and Ollama?

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Ben Alfi, CEO & Co-Founder of Bluewhite – Interview Series

Unite.AI

Ben Alfi is the Founder and CEO of Bluewhite, an autonomous technology company. He established the business in 2017 after more than 25 years of experience in the Israeli Air Force as a combat pilot and Head of Unmanned Systems R&D Programs. Bluewhite focuses on improving farm resilience by providing technology that maximizes productivity and reduces operational costs.

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Memory and Hybrid Search in RAG using LlamaIndex

Analytics Vidhya

Introduction Retrieval Augmented Generation (RAG) pipelines are improving how AI systems interact with custom data, but two critical components we will focus on here: memory and hybrid search. In this article, we will explore how integrating these powerful features can transform your RAG system from a simple question-answering tool into a context-aware, intelligent conversational agent. […] The post Memory and Hybrid Search in RAG using LlamaIndex appeared first on Analytics Vidhya.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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How AI can help reform UK NHS

Ehud Reiter

The UK government has announced three priorities for reforming the UK National Health Service ( BBC News ): move from an analogue to a digital NHS. shift care from hospitals to communities. pivot to (focus) on prevention instead of treating illness. I suspect that most health services around the world share these goals (except that some health services are already properly digitised).

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Internet of Animals: A look at the new tech getting animals online

IBM Journey to AI blog

All living things on Earth are connected, in that we all affect one another, directly and indirectly. But more often than not, we don’t see or know what is happening in the lives of animals. Deep in the jungles and forests, far off in the deserts and prairies, many species of animals are seeing their behavior change as the planet warms in ways we can’t see.

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To Save Lives, and Energy, Wellcome Sanger Institute Speeds Cancer Research With NVIDIA Accelerated Computing

NVIDIA

The Wellcome Sanger Institute, a key contributor to the international Human Genome Project, is turning to NVIDIA accelerated computing to save energy while saving lives. With one of the world’s largest sequencing facilities, the U.K.-based institute has read more than 48 petabases — or 48 quadrillion base pairs — of DNA and RNA sequences to uncover crucial insights into health and disease.

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OpenAI Releases Multilingual Massive Multitask Language Understanding (MMMLU) Dataset on Hugging Face to Easily Evaluate Multilingual LLMs

Marktechpost

OpenAI released the Multilingual Massive Multitask Language Understanding (MMMLU) dataset on Hugging Face. As language models grow increasingly powerful, the necessity of evaluating their capabilities across diverse linguistic, cognitive, and cultural contexts has become a pressing concern. OpenAI’s decision to introduce the MMMLU dataset addresses this challenge by offering a robust, multilingual, and multitask dataset designed to assess the performance of large language models (LLMs) on variou

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

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Salesforce and IBM join forces to develop AI agents for enterprise software

IBM Journey to AI blog

Salesforce and IBM are teaming up to create AI-powered agents that could reshape how businesses handle sales, customer service and other core operations. The partnership combines IBM’s watsonx platform with Salesforce’s Agentforce to develop autonomous agents capable of performing complex tasks without human intervention. The collaboration hinges on integrating data from various sources, including IBM Z mainframes and Db2 databases, with Salesforce’s Data Cloud.

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NVIDIA Partners for Globally Inclusive AI in U.S. Government Initiative

NVIDIA

NVIDIA is joining the U.S. government’s launch of the Partnership for Global Inclusivity on AI (PGIAI), providing Deep Learning Institute training, GPU credits and hardware and software grants in developing countries. The partnership was announced today in New York at the U.N. General Assembly by U.S. Secretary of State Antony Blinken. The effort aims to harness the potential of artificial intelligence to advance sustainable development around the world.

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Trust-Align: An AI Framework for Improving the Trustworthiness of Retrieval-Augmented Generation in Large Language Models

Marktechpost

Large language models (LLMs) have gained significant attention due to their potential to enhance various artificial intelligence applications, particularly in natural language processing. When integrated into frameworks like Retrieval-Augmented Generation (RAG), these models aim to refine AI systems’ output by drawing information from external documents rather than relying solely on their internal knowledge base.

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Making traffic lights more efficient with Amazon Rekognition

AWS Machine Learning Blog

State and local agencies spend approximately $1.23 billion annually to operate and maintain signalized traffic intersections. On the other end, traffic congestion at intersections costs drivers about $22 billion annually. Implementing an artificial intelligence (AI)-powered detection-based solution can significantly mitigate congestion at intersections and reduce operation and maintenance costs.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Enhancing Large Language Models with Diverse Instruction Data: A Clustering and Iterative Refinement Approach

Marktechpost

Large language models (LLMs) have become a pivotal part of artificial intelligence, enabling systems to understand, generate, and respond to human language. These models are used across various domains, including natural language reasoning, code generation, and problem-solving. LLMs are usually trained on vast amounts of unstructured data from the internet, allowing them to develop broad language understanding.

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Transforming home ownership with Amazon Transcribe Call Analytics, Amazon Comprehend, and Amazon Bedrock: Rocket Mortgage’s journey with AWS

AWS Machine Learning Blog

This post is co-written with Josh Zook and Alex Hamilton from Rocket Mortgage. Rocket Mortgage, America’s largest retail mortgage lender, revolutionizes homeownership with Rocket Logic – Synopsis, an AI tool built on AWS. This innovation has transformed client interactions and operational efficiency through the use of Amazon Transcribe Call Analytics , Amazon Comprehend , and Amazon Bedrock.

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DCMAC: Demand-Aware Customized Communication for Efficient Multi-Agent Reinforcement Learning

Marktechpost

Collaborative Multi-Agent Reinforcement Learning (MARL) has emerged as a powerful approach in various domains, including traffic signal control, swarm robotics, and sensor networks. However, MARL faces significant challenges due to the complex interactions between agents, which introduce non-stationarity in the environment. This non-stationarity complicates the learning process and makes it difficult for agents to adapt to changing conditions.

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Govern generative AI in the enterprise with Amazon SageMaker Canvas

AWS Machine Learning Blog

With the rise of powerful foundation models (FMs) powered by services such as Amazon Bedrock and Amazon SageMaker JumpStart , enterprises want to exercise granular control over which users and groups can access and use these models. This is crucial for compliance, security, and governance. Launched in 2021, Amazon SageMaker Canvas is a visual point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML mode

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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MAGICORE: An AI Framework for Multi Agent Iteration for Coarse-to-fine Refinement

Marktechpost

Test-time aggregation strategies, such as generating and combining multiple answers, can enhance LLM performance but eventually hit diminishing returns. Refinement, where model feedback is used to improve answers iteratively, presents an alternative. However, it faces three challenges: (1) excessive refinement, which can lead to over-correction and reduced accuracy; (2) difficulty in identifying and addressing specific errors, as LLMs struggle with targeted self-correction; and (3) determining t

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5 Free Courses to Master Deep Learning in 2024

Machine Learning Mastery

AI applications are everywhere. I use ChatGPT on a daily basis — to help me with work tasks, and planning, and even as an accountability partner. Generative AI hasn’t just transformed the way we work. It helps businesses streamline operations, cut costs, and improve efficiency. As companies rush to implement generative AI solutions, there has been an […] The post 5 Free Courses to Master Deep Learning in 2024 appeared first on MachineLearningMastery.com.

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Vista3D: A Novel AI Framework for Rapid and Detailed 3D Object Generation from a Single Image Using Diffusion Priors

Marktechpost

Previous 3D model generation from single images faced challenges. Feed-forward architectures produced simplistic objects due to limited 3D data. Gaussian splatting provided rapid coarse geometry but lacked fine details and view consistency. Naive gradient thresholding caused excessive densification and swollen geometries. Regularisation methods improved accuracy, but removal led to structural issues.

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