Analytics Vidhya
JUNE 7, 2024
In the latest episode of the Leading with Data podcast, we had the privilege of hosting Dr. Katra, the Global VP of AI at Medtronic. Dr. Rodolphe Katra is an innovative leader with over two decades of expertise in engineering and strategic management within the medical technology sector. A pioneer in the application of AI […] The post Evolution of AI in Medicine with Dr.
AI News
JUNE 7, 2024
DuckDuckGo has released a platform that allows users to interact with popular AI chatbots privately, ensuring that their data remains secure and protected. The service, accessible at Duck.ai , is globally available and features a light and clean user interface. Users can choose from four AI models: two closed-source models and two open-source models.
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Analytics Vidhya
JUNE 7, 2024
We know that various forms of written communication, like social media and emails, generate vast volumes of unstructured textual data. This data contains valuable insights and information. However, manually extracting relevant insights from large amounts of raw text is highly labor-intensive and time-consuming. Text mining addresses this challenge. Using computer techniques it refers to automatically […] The post Text Mining in Python appeared first on Analytics Vidhya.
Unite.AI
JUNE 7, 2024
One of the most significant challenges in robotics is training multipurpose robots capable of adapting to various tasks and environments. To create such versatile machines, researchers and engineers require access to large, diverse datasets that encompass a wide range of scenarios and applications. However, the heterogeneous nature of robotic data makes it difficult to efficiently incorporate information from multiple sources into a single, cohesive machine learning model.
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
Analytics Vidhya
JUNE 7, 2024
Introduction Network analysis is essential for examining and interpreting the interactions between elements in complex systems. It is applied in several domains. This approach sheds light on linked systems’ structure, dynamics, and usefulness, whether biological networks, computer systems, or social networks. This article examines the basic ideas, uses, and important network analysis techniques.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
JUNE 7, 2024
Introduction The field of medical AI has witnessed remarkable advancements in recent years, with the development of powerful language models and datasets driving progress. In this article, we will explore the journey of MedMCQA, a groundbreaking medical question-answering dataset, and its role in shaping the landscape of medical AI. We will examine the challenges faced […] The post OpenBioLLM-70B: India’s Contribution to Cutting-Edge Biomedical Language Models appeared first on Analy
Unite.AI
JUNE 7, 2024
Neal Hansch is the CEO and Managing Partner of Silicon Foundry , a Kearney company, where he leverages over 25 years of venture capital, product management, technology operations, corporate development, and trusted advisory experience to lead the firm. Prior to joining Silicon Foundry, Neal was Managing Director of the emerging markets technology training, investment, and incubation program at the Meltwater Entrepreneurial School of Technology (MEST), where he managed a global team of 150+ prof
Analytics Vidhya
JUNE 7, 2024
Introduction Insurance is a document-heavy industry with numerous terms and conditions, making it challenging for policyholders to find accurate answers to their queries regarding policy details or the claims process. This often leads to higher customer churn due to frustration and misinformation. This article explores how to address this issue using Generative AI by building […] The post How to Build RAG Chatbot for Insurance?
AssemblyAI
JUNE 7, 2024
Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord Build With AssemblyAI's Integrations Make the most of your audio data by using AssemblyAI with top platforms and tools. Discover our wide range of integrations to improve your speech AI workflows with these use cases: LangChain : Develop applications that analyze and understand audio dialogues using AssemblyAI’s speech-to-text
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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?
Aiiot Talk
JUNE 7, 2024
Learning about robotics can be a rewarding yet challenging experience. The field is ever-evolving and there’s always something new to pickup. As with any discipline, students need to track how far they’ve come, establish benchmarks and measure progress. It’s the only way they can master the skills required to design, build and program robots. Here’s how to go about it.
Marktechpost
JUNE 7, 2024
Monte Carlo (MC) methods rely on repeated random sampling, so they are widely utilized for simulating and approximating complicated real-world systems. These techniques work especially well for financial mathematics, numerical integration, and optimization issues, particularly those about risk and derivative pricing. However, for complex issues in Monte Carlo, an unfeasibly large number of samples are required to obtain high precision.
NVIDIA
JUNE 7, 2024
Across industries, AI is supercharging innovation with machine-powered computation. In finance, bankers are using AI to detect fraud more quickly and keep accounts safe, telecommunications providers are improving networks to deliver superior service, scientists are developing novel treatments for rare diseases, utility companies are building cleaner, more reliable energy grids and automotive companies are making self-driving cars safer and more accessible.
Marktechpost
JUNE 7, 2024
Large language models (LLMs) have revolutionized code generation, but their autoregressive nature poses a significant challenge. These models generate code token by token, without access to the program’s runtime output from the previously generated tokens. This lack of a feedback loop, where the model can observe the program’s output and adjust accordingly, makes it difficult to correct errors.
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
databricks
JUNE 7, 2024
In June 2023, we launched Databricks Marketplace as an open marketplace for all your data, analytics, and AI needs, powered by the open.
Marktechpost
JUNE 7, 2024
Chain-of-Thought (CoT) reasoning enhances the capabilities of LLMs, allowing them to perform more complex reasoning tasks. Despite being primarily trained for next-token prediction, LLMs can generate detailed steps in their responses when prompted to explain their thought process. This ability, which resembles logical reasoning, is paradoxical since LLMs are not explicitly designed for reasoning.
Explosion
JUNE 7, 2024
There hasn’t been a boom like the AI boom since the.com days. And it may look like a space destined to be controlled by a couple of tech giants. But Ines Montani thinks open source will play an important role in the future of AI.
Marktechpost
JUNE 7, 2024
Language models (LMs) are designed to reflect a broad range of voices, leading to outputs that don’t perfectly match any single perspective. To avoid generic responses, one can use LLMs through supervised fine-tuning (SFT) or reinforcement learning with human feedback (RLHF). However, these methods need huge datasets, making them impractical for new and specific tasks.
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.
Extreme Tech
JUNE 7, 2024
On Wednesday, the second of two 6U CubeSats entered orbit, signaling the start of a nearly year-long radiation watch at the poles.
Marktechpost
JUNE 7, 2024
The ability to discern relevant and essential information from noise is paramount in AI, particularly within large language models (LLMs). With the surge of information and the complexity of tasks, there’s a need for efficient mechanisms to enhance the performance and reliability of these models. Let’s explore the essential tools & techniques for refining LLMs and delivering precise, actionable insights.
Extreme Tech
JUNE 7, 2024
The company is hoping aggressive pricing will allow it to get a beachhead in the AI arms race.
Marktechpost
JUNE 7, 2024
Audio classification has evolved significantly with the adoption of deep learning models. Initially dominated by Convolutional Neural Networks (CNNs), this field has shifted towards transformer-based architectures, which offer improved performance and the ability to handle various tasks through a unified approach. Transformers surpass CNNs in performance, creating a paradigm shift in deep learning, especially for functions requiring extensive contextual understanding and handling diverse input d
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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!
Extreme Tech
JUNE 7, 2024
The Chandra X-ray Observatory has spent 25 years investigating stunning celestial bodies. Now you can plop them down on your kitchen table.
Marktechpost
JUNE 7, 2024
Language Learning Models (LLMs), which are very good at reasoning and coming up with good answers, are sometimes honest about their mistakes and tend to hallucinate when asked questions they haven’t seen before. When the responses are more than just one token, it becomes much more important to determine how to get trustworthy confidence estimations from LLMs.
Extreme Tech
JUNE 7, 2024
The company will apparently go to market with existing 600-series motherboards.
Marktechpost
JUNE 7, 2024
Zyphra announced the release of Zyda , a groundbreaking 1.3 trillion-token open dataset for language modeling. This innovative dataset is set to redefine the standards of language model training and research, offering an unparalleled combination of size, quality, and accessibility. Zyda amalgamates several high-quality open datasets, refining them through rigorous filtering and deduplication.
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.
Towards AI
JUNE 7, 2024
Last Updated on June 10, 2024 by Editorial Team Author(s): Greg Postalian-Yrausquin Originally published on Towards AI. This is a quick example to demonstrate the use of RNN to classify a set of tweets into positive or negative feedback. The idea is to give a quick high-level view of how recursive neural networks are trained for datasets that have a continuous internal structure, such as text.
Marktechpost
JUNE 7, 2024
The Qwen Team recently unveiled their latest breakthrough, the Qwen2-72B. This state-of-the-art language model showcases advancements in size, performance, and versatility. Let’s look into the key features, performance metrics, and potential impact of Qwen2-72B on various AI applications. Qwen2-72B is part of the Qwen2 series, which includes a range of large language models (LLMs) with varying parameter sizes.
Extreme Tech
JUNE 7, 2024
NASA and Boeing say the problems won't affect Starliner's return trip.
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