Fri.Mar 29, 2024

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Salesforce BLIP: Revolutionizing Image Captioning

Analytics Vidhya

Introduction Image captioning is another exciting innovation in artificial intelligence and its contribution to computer vision. Salesforce’s new tool, BLIP, is a great leap. This image captioning AI model provides a great deal of interpretation through its working process. Bootstrapping Language-image Pretraining (BLIP) is a technology that generates captions from images with a high level […] The post Salesforce BLIP: Revolutionizing Image Captioning appeared first on Analytics Vidhya.

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Integrating AI into Asset Performance Management: It’s all about the data

IBM Journey to AI blog

Imagine a future where artificial intelligence (AI) seamlessly collaborates with existing supply chain solutions, redefining how organizations manage their assets. If you’re currently using traditional AI, advanced analytics, and intelligent automation, aren’t you already getting deep insights into asset performance? Undoubtedly. But what if you could optimize even further?

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X-CLIP: Advancing Video Recognition with Language-Image Pretraining

Analytics Vidhya

Introduction Video recognition is a cornerstone of modern computer vision, enabling machines to understand and interpret visual content in videos. With the rapid evolution of convolutional neural networks (CNNs) and transformers, significant strides have been made in enhancing the accuracy and efficiency of video recognition systems. However, traditional approaches are often constrained by closed-set learning […] The post X-CLIP: Advancing Video Recognition with Language-Image Pretraining

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OpenTelemetry vs. Prometheus: You can’t fix what you can’t see

IBM Journey to AI blog

Monitoring and optimizing application performance is important for software developers and enterprises at large. The more applications that an enterprise deploys, the more data that exists for collecting and analyzing. Yet, this data isn’t worth much without the right tools for monitoring, optimizing, storing and—crucially—putting the data into context.

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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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RAFT – A Fine-Tuning and RAG Approach to Domain-Specific Question Answering

Unite.AI

As the applications of large language models expand into specialized domains, the need for efficient and effective adaptation techniques becomes increasingly crucial. Enter RAFT (Retrieval Augmented Fine Tuning), a novel approach that combines the strengths of retrieval-augmented generation (RAG) and fine-tuning, tailored specifically for domain-specific question answering tasks.

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Historical Note: Was a Subway in New York City Inevitable?

AI Impacts

Introduction The first serious attempt at building a subway in New York City occurred in 1866, following the end of the Civil War (1865) and the opening of the first subway in London (1863). The following decades saw a sequence of failed attempts, and the first subway in New York City would not begin operations until 1904. When we consider how popular the subway was, even when it first opened, these failures are remarkable.

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Create a lasting customer retention strategy

IBM Journey to AI blog

Customer retention must be a top priority for leaders of any company wanting to remain competitive. An effective customer retention strategy should support the company to maintain a healthy stable of loyal customers and bring in new customers. Generating repeat business is critical: McKinsey’s report on customer acquisition states (link resides outside of ibm.com) that companies need to acquire three new customers to make up the business value of losing one existing customer.

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Google AI Introduces AutoBNN: A New Open-Source Machine Learning Framework for Building Sophisticated Time Series Prediction Models

Marktechpost

GoogleAI researchers released AutoBNN to address the challenge of effectively modeling time series data for forecasting purposes. Traditional Bayesian approaches like Gaussian processes (GPs) and structural time series could not overcome limitations in scalability, interpretability, and computational efficiency. The neural network-based approaches lack interpretability and may not provide reliable uncertainty estimates.

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Holistic asset management for utility network companies

IBM Journey to AI blog

Addressing challenges of the energy transition with grid asset management The energy transition is gearing up to full speed as renewable energy sources replace fossil-based systems of energy production. The grid itself must green to operate within the environmental, social and governance (ESG) objectives and become carbon neutral by 2050. This shift requires energy utility companies to plan their grid asset management holistically as they find a new balance between strategic objectives.

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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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X.ai Announces Grok 1.5: A Look at the Improved Reasoning and Long Context Capabilities

Marktechpost

X.ai has announced the release of Grok-1.5, an advanced version of the Grok-1 AI model with improved reasoning and a context length of 128,000 tokens. Here’s a quick breakdown of the key features and functionalities of Grok 1.5: Improved Reasoning: Grok-1.5 demonstrates significant improvements in reasoning and problem-solving capabilities compared to its predecessor Grok-1.

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Empowering career growth amidst global challenges 

IBM Journey to AI blog

Finding the right recipe for career growth can challenge global clients. At Conagra, a leading food manufacturer, prioritizing employee growth and career mobility became paramount, especially amidst the recent pandemic. The company recognized the need for a strong skills foundation, empowering its workforce to develop talents and explore new career opportunities within the organization.

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This AI Paper from Intel Presents a SYCL Implementation of Fully Fused Multi-Layer Perceptrons (MLPs) on Intel Data Center GPU Max

Marktechpost

In the field of Artificial Intelligence (AI), Multi-Layer Perceptrons (MLPs) are the foundation for many Machine Learning (ML) tasks, including partial differential equation solving, density function representation in Neural Radiance Fields (NeRFs), and ray tracing simulation using Neural Ray Tracing. Fully connected layers, in which every neuron in a layer is connected to every other neuron in the layer above and below, are a defining characteristic of MLPs.

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Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

AWS Machine Learning Blog

Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. With Amazon Lex, you can implement an omnichannel strategy where customers engage via phone, websites, and messaging platforms. The bots can answer FAQs, provide self-service experiences, or triage customer requests before transferring to a human agent.

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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 to Precisely Predict Your AI Model’s Performance Before Training Begins? This AI Paper from China Proposes Data Mixing Laws

Marktechpost

In large language models (LLMs), the landscape of pretraining data is a rich blend of diverse sources. It spans from common English to less common languages, including casual conversations and scholarly texts, and even extends to modalities like images and speeches. Within this mix, the data interact in complex ways, sometimes aligning well, diverging, and occasionally conflicting.

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Announcing the General Availability of Databricks Notebooks on SQL Warehouses

databricks

Today, we are excited to announce the general availability of Databricks Notebooks on SQL warehouses. Databricks SQL warehouses are SQL-optimized compute that provide.

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Vectara Releases the Factual Consistency Score (FCS): An AI Tool for Automated Hallucination Detection in Each Response It Generates

Marktechpost

In an era where generative artificial intelligence (GenAI) is rapidly transforming the landscape of business and technology, the specter of misinformation—unintentionally generated by these powerful tools—looms large. Recognizing the critical need for reliability and trust in AI-generated responses, Vectara has introduced a groundbreaking solution: the Factual Consistency Score (FCS), powered by the enhanced Hughes Hallucination Evaluation Model (HHEM).

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Apple Has Silently Removed the UltraFusion Interconnect on M3 Max

Extreme Tech

The move by Apple means the M3 Ultra could have its own interconnect, for a quad-Max 'Extreme' SoC.

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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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Mora: A New Multi-Agent Framework that Incorporates Several Advanced Visual AI Agents to Replicate Generalist Video Generation Demonstrated by Sora

Marktechpost

Researchers from Lehigh University and Microsoft introduced a new multi-agent framework, Mora, to address the challenge of advancing video generation technology. While in recent years, there has been significant progress in image and text synthesis, video generation remains relatively unexplored. Existing models have struggled to produce long-duration videos exceeding 10 seconds, limiting their practical utility.

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Best Free AI SQL Large Model of 2024

Towards AI

Last Updated on March 31, 2024 by Editorial Team Author(s): Meng Li Originally published on Towards AI. Best AI SQL Query Tools Want to quickly get answers from your database? The Vanna framework makes this simple. It’s an open-source tool that helps you generate SQL to let the data speak for itself. [link] Vanna has three modes to suit different needs.

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Meet OpenFoundry: An AI Research Startup Building a Developer Infrastructure for Open Source AI

Marktechpost

Developing and optimizing AI models requires significant work since developers frequently need help identifying the appropriate models for their particular requirements. Developing these AI solutions may be challenging and drawn out for open-source projects. Many developers find it difficult to cope with more user-friendly tools than what I need help purchasing.

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Microsoft Says Copilot Users Would Love It More If They Wrote Better Prompts

Extreme Tech

Rather than improving its product—or admitting people don't want it—Microsoft is throwing shade.

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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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Researchers from the University of York and Université Paris-Saclay Introduce DeepKnowledge for Generalisation-Driven Deep Learning Testing

Marktechpost

Deep Neural Networks (DNNs) demonstrated tremendous improvement in numerous difficult activities, matching or even outperforming human ability. As a result of this accomplishment, DNNs were widely used in many safety- and security-critical applications, including autonomous driving, flight control systems, and medication development in healthcare. The performance of DNN models still needs to be more consistent, and they are unstable when exposed to even minor changes in the input data.

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Managed Sportlogiq to Databricks Data Ingestion Pipelines for NHL Teams: A Game-Changing Alliance

databricks

Overview In the competitive world of professional hockey, NHL teams are always seeking to optimize their performance. Advanced analytics has become increasingly important.

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How Visual AI Can Assist Businesses In Efficiently Managing Large Volumes Of Images

Marktechpost

Content is king. We all know that, right? Well, in today’s world, visual content has become king, with images and videos serving as not only useful but essential tools for businesses aiming to engage, inform, and captivate their audience. Yet, managing massive volumes of these visual assets poses considerable challenges. The manual tasks involved in tagging, categorizing, and optimizing for diverse platforms demand significant time and effort.

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Designing Responsible AI Solutions

Towards AI

Last Updated on March 31, 2024 by Editorial Team Author(s): Dr Richard Matthews – Chief AI Officer RHEM Labs Originally published on Towards AI. Microsoft’s 6 responsible AI Principles that we use at RHEM Labs Top highlight At RHEM Labs, we run on trust, and we’re committed to building using the latest responsible AI solutions and guidelines to provide our partners and customers with secure platforms for business and data.

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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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The Dawn of Indistinguishable Voices: Inside OpenAI’s Voice Engine

Marktechpost

OpenAI has emerged at the forefront of synthetic voice technology in the rapidly evolving landscape of artificial intelligence. The organization recently shared insights from a small-scale preview of its latest innovation, Voice Engine. This cutting-edge model demonstrates an ability to generate natural-sounding speech that resembles the original speaker, using just text input and a single 15-second audio sample.

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Insights from a Computer Science Conference: DATE 2024

Towards AI

Last Updated on March 31, 2024 by Editorial Team Author(s): Federico Peccia Originally published on Towards AI. Top highlight In the last week of March, I attended the Design, Automation, and Test in Europe 2024 Conference. This academic conference is focused on techniques and methods for designing better electronic systems. It covers a wide range of topics, from optimizing Neural Networks for a particular hardware platform to new fabrication methods for building new hardware for AI applications

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This AI Research from Apple Combines Regional Variants of English to Build a ‘World English’ Neural Network Language Model for On-Device Virtual Assistants

Marktechpost

In technological advancement, developing Neural Network Language Models (NNLMs) for on-device Virtual Assistants (VAs) represents a significant leap forward. Traditionally, these models have been tailored to specific languages, regions, and even devices, posing considerable challenges in terms of scalability and maintenance. Researchers from AppTek GmbH and Apple tackle these issues by pioneering a “World English” NNLM that amalgamates various dialects of English into a single, cohesive model.