Mon.Mar 11, 2024

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A Silent Evolution in AI: The Rise of Compound AI Systems Beyond Traditional AI Models

Unite.AI

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and collaborative compound AI systems like AlphaGeometry and Retrieval Augmented Generation (RAG) system. This evolution has gained momentum in 2023, reflecting a paradigm shift on how AI can handle diverse scenarios not solely through scaling up models but through the strategic

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Indian Government Approves Rs 10,372 Crore Fund for India AI Mission

Analytics Vidhya

India’s recent announcement of the India AI Mission has sparked optimism among industry experts and entrepreneurs. The mission comes with a significant financial outlay and a focus on fostering innovation in the deep tech sector. It aims to address the longstanding challenges faced by Indian startups in accessing funding and support. Let’s delve into the […] The post Indian Government Approves Rs 10,372 Crore Fund for India AI Mission appeared first on Analytics Vidhya.

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OpenAI announces new board lineup and governance structure

AI News

OpenAI has announced a refreshed board of directors and new governance structure following recent turmoil that saw CEO Sam Altman ousted, briefly recruited by Microsoft, and then quickly reinstated at the AI research company. In a statement, OpenAI said Altman will rejoin the board alongside three new independent directors: Sue Desmond-Hellmann, former CEO of the Bill and Melinda Gates Foundation, Nicole Seligman, former executive vice president and general counsel at Sony Corporation, and Fidji

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Infibeam Avenues Launches THEIA: A Game-Changer in Video AI Development

Analytics Vidhya

Infibeam Avenues has recently introduced THEIA, a revolutionary video AI developer platform, poised to transform the landscape of artificial intelligence applications across various sectors. The platform promises to unlock new possibilities in video data utilization, enabling businesses, institutions, and governments to harness the power of AI for enhanced productivity and efficiency.

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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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How Global Dealmakers are Leveraging AI

Unite.AI

Artificial Intelligence (AI), including generative AI (GenAI), is rapidly revolutionizing business processes and challenging traditional operational models across industries. The mergers and acquisitions (M&A) industry is no exception. Large language models (LLM) and GenAI are particularly well-suited to support industries reliant on processing and analyzing vast amounts of data.

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Headpix Review: The Best AI Headshots for Professionals?

Unite.AI

In today's digital world, there's no question that first impressions matter, especially for business professionals. Whether you want to land new clients or attract a new job, a professional, high-quality headshot has never been more important! As someone testing the best AI headshot generators , I recently discovered a new AI service called Headpix.

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Ruchi Bhatia’s Journey from Coding Prodigy to Triple Kaggle Grandmaster

Analytics Vidhya

At Analytics Vidhya, we’re shining a spotlight on women in data science this March. Dive into the inspiring journey of Ruchi Bhatia, a leader in the field. Stay tuned for her story and more empowering narratives all month long! Let’s look at her story of inspiration! Ruchi Bhatia’s Story in her own Words My Data […] The post Ruchi Bhatia’s Journey from Coding Prodigy to Triple Kaggle Grandmaster appeared first on Analytics Vidhya.

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This Machine Learning Research from Tel Aviv University Reveals a Significant Link between Mamba and Self-Attention Layers

Marktechpost

Recent studies have highlighted the efficacy of Selective State Space Layers, also known as Mamba models, across various domains, such as language and image processing, medical imaging, and data analysis. These models offer linear complexity during training and fast inference, significantly boosting throughput and enabling efficient handling of long-range dependencies.

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Hyper-personalization as a differentiator for banks

SAS Software

Best-selling author and banking industry futurist Brett King once said, “The easiest customer experience isn’t one where you drive to the branch, find a parking spot, wait in line, ask advice, and sign a piece of paper. It’s one where you activate the service you need in real time when [.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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DéjàVu: A Machine Learning System for Efficient and Fault-Tolerant LLM Serving System

Marktechpost

The surge in deploying Large Language Models (LLMs) such as GPT-3, OPT, and BLOOM across various digital interfaces, including chatbots and text summarization tools, has brought the critical need for optimizing their serving infrastructure to the forefront. LLMs are notorious for their huge sizes and the substantial computational resources they necessitate, presenting a trio of formidable challenges in their serving: efficiently utilizing hardware accelerators, managing the memory footprint, and

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A Total Solar Eclipse Is 'Radically Different' From a 99% Eclipse, Experts Say

Extreme Tech

If you live in the US and you've never seen totality, the upcoming April 8 eclipse might be worth going the (literal) extra mile.

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This AI Paper from Microsoft Proposes a Machine Learning Benchmark to Compare Various Input Designs and Study the Structural Understanding Capabilities of LLMs on Tables

Marktechpost

The ability of Large Language Models (LLMs) to solve tasks related to Natural Language Processing (NLP) and Natural Language Generation (NLG) using few-shot reasoning has led to an increase in their popularity. However, more research is still needed on the subject of LLMs’ comprehension of organised data, including tables. Tables can be serialized and used as input to LLMs, but there aren’t many thorough studies evaluating how well LLMs actually understand this kind of structured dat

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How VistaPrint delivers personalized product recommendations with Amazon Personalize

AWS Machine Learning Blog

VistaPrint , a Cimpress business, is the design and marketing partner to millions of small businesses around the world. For more than two decades, VistaPrint has empowered small businesses to quickly and effectively create the marketing products – from promotional materials and signage to print advertising and more – to get the job done, regardless of whether they operate in-store or online.

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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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Meet T-Stitch: A Simple Yet Efficient Artificial Intelligence Technique to Improve the Sampling Efficiency with Little or No Generation Degradation

Marktechpost

Diffusion probabilistic models (DPMs) have long been a cornerstone of AI image generation, but their computational demands have been a significant drawback. This paper introduces a novel technique, T-Stitch, which offers a clever solution to this problem. By enhancing the efficiency of DPMs without compromising image quality, T-Stitch revolutionizes the field of AI image generation.

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Announcing the General Availability of Databricks Feature Serving

databricks

Today, we are excited to announce the general availability of Feature Serving. Features play a pivotal role in AI Applications, typically requiring considerable.

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This AI Paper from UCSD and ByteDance Proposes a Novel Machine Learning Framework for Filtering Image-Text Data by Leveraging Fine-Tuned Multimodal Language Models (MLMs)

Marktechpost

In artificial intelligence, the synergy between visual and textual data plays a pivotal role in evolving models capable of understanding and generating content that bridges the gap between these two modalities. Vision-Language Models (VLMs), which leverage vast datasets of paired images and text, are at the forefront of this innovative frontier. These models harness the power of image-text datasets to achieve breakthroughs in various tasks, from enhancing image recognition to pioneering new form

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Eco-System Upgrade: AI Plants a Digital Forest at NVIDIA GTC

NVIDIA

The ecosystem around NVIDIA’s technologies has always been verdant — but this is absurd. After a stunning premiere at the World Economic Forum in Davos, immersive artworks based on Refik Anadol Studio’s Large Nature Model will come to the U.S. for the first time at NVIDIA GTC. Offering a deep dive into the synergy between AI and the natural world, Anadol’s multisensory work, “Large Nature Model: A Living Archive,” will be situated prominently on the main concourse of the San Jose Convention Cent

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Training Value Functions via Classification for Scalable Deep Reinforcement Learning: Study by Google DeepMind Researchers and Others

Marktechpost

Value functions are a core component of deep reinforcement learning (RL). Value functions, implemented with neural networks, undergo training via mean squared error regression to align with bootstrapped target values. However, upscaling value-based RL methods utilizing regression for extensive networks, like high-capacity Transformers, has posed challenges.

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Scientists Discover the World's Oldest Fossilized Forest in Wales

Extreme Tech

The forest stood some 390 million years ago when life on Earth looked much different than it does today.

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This AI Research from Stanford Discusses Backtracing and Retrieving the Cause of the Query

Marktechpost

In a recent study, a team of researchers addressed the intrinsic drawbacks of current online content portals that enable users to ask questions to improve their comprehension, especially in learning environments such as lectures. Conventional Information Retrieval (IR) systems are great at answering these kinds of questions from users, but they are not very good at helping content providers, like lecturers, pinpoint the exact parts of their material that prompted the question in the first place.

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AI Getting Green Light: City of Raleigh Taps NVIDIA Metropolis to Improve Traffic

NVIDIA

You might say that James Alberque has a bird’s-eye view of the road congestion and challenges that come with a booming U.S. city. Alberque analyzes traffic data for Raleigh, North Carolina, which has seen its population more than double in the past three decades. The city has been working with NVIDIA and its partners to analyze traffic on the roads and intersections to help reduce congestion and enhance pedestrian safety.

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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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InfiMM-HD: An Improvement Over Flamingo-Style Multimodal Large Language Models (MLLMs) Designed for Processing High-Resolution Input Images

Marktechpost

With the integration of Large Language Models (LLMs) with pre-trained visual encoders, Multimodal Large Language Models (MLLMs) have revolutionized the realm of artificial intelligence. Still, there are challenges, especially in accurately recognizing and comprehending intricate details in high-resolution images. Emergent vision-language capabilities are demonstrated by current MLLMs, such as Flamingo, BLIP-2, LLaVA, and MiniGPT-4.

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Finding Value with Data: The Cohesive Force Behind Luxury Real Estate Decisions

Machine Learning Mastery

The real estate industry is a vast network of stakeholders including agents, homeowners, investors, developers, municipal planners, and tech innovators, each bringing unique perspectives and objectives to the table. Within this intricate ecosystem, data emerges as the critical element that binds these diverse interests together, facilitating collaboration and innovation.

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Enhancing Tool Usage in Large Language Models: The Path to Precision with Simulated Trial and Error

Marktechpost

Developing large language models (LLMs) in artificial intelligence, such as OpenAI’s GPT series, marks a transformative era, bringing profound impacts across various sectors. These sophisticated models have become cornerstones for generating contextually rich and coherent text outputs, facilitating applications from automated content creation to nuanced customer service interactions.

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Nvidia RTX 50-Series Flagship Rumored to Offer 512-bit Memory Bus, 28Gb/s GDDR7

Extreme Tech

The next-gen RTX 5090 is sounding like it's going to be a worthy successor to the RTX 4090.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Revolutionizing Robotic Surgery with Neural Networks: Overcoming Catastrophic Forgetting through Privacy-Preserving Continual Learning in Semantic Segmentation

Marktechpost

Deep Neural Networks (DNNs) excel in enhancing surgical precision through semantic segmentation and accurately identifying robotic instruments and tissues. However, they face catastrophic forgetting and a rapid decline in performance on previous tasks when learning new ones, posing challenges in scenarios with limited data. DNNs’ struggle with catastrophic forgetting hampers their proficiency in recognizing previously learned instruments or anatomical structures, especially when updated da

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Teenager Creates AI-Powered Invasive Bug Zapper

Extreme Tech

Spotted lanternflies are no match for Selina Zhang's rigged patio umbrella.

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Unveiling the Dynamics of Generative Diffusion Models: A Machine Learning Approach to Understanding Data Structures and Dimensionality

Marktechpost

The recent advancements in machine learning, particularly in generative models, have been marked by the emergence of diffusion models (DMs) as powerful tools for modeling complex data distributions and generating realistic samples across various domains such as images, videos, audio, and 3D scenes. Despite their practical success, the full theoretical understanding of generative diffusion models still needs to be improved.