Analytics Vidhya

MARCH 29, 2024

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.

Computer Vision 315

Computer Vision Artificial Intelligence Artificial Intelligence AI Modeling 315

IBM Journey to AI blog

MARCH 29, 2024

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?

Generative AI 278

Generative AI AI AI Artificial Intelligence 278

Analytics Vidhya

MARCH 29, 2024

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

Convolutional Neural Networks 310

Convolutional Neural Networks Neural Network Computer Vision Artificial Intelligence 310

IBM Journey to AI blog

MARCH 29, 2024

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.

DevOps 263

DevOps Software Development Automation Metadata 263

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

Unite.AI

MARCH 29, 2024

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.

Natural Language Processing 173

Natural Language Processing Large Language Models LLM Artificial Intelligence 173

AI Impacts

MARCH 29, 2024

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.

AI 147

AI AI 147

IBM Journey to AI blog

MARCH 29, 2024

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.

Artificial Intelligence 212

Artificial Intelligence Artificial Intelligence Natural Language Processing Chatbots 212

Marktechpost

MARCH 29, 2024

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.

Machine Learning 139

Machine Learning Neural Network Automation AI 139

IBM Journey to AI blog

MARCH 29, 2024

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.

ESG 203

ESG Generative AI AI Modeling AI 203

Advertisement

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?

Business Intelligence

Marktechpost

MARCH 29, 2024

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.

AI Chatbots 135

AI Chatbots Chatbots AI Modeling AI 135

IBM Journey to AI blog

MARCH 29, 2024

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.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence AI AI 113

Marktechpost

MARCH 29, 2024

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.

Neural Network 130

Neural Network Machine Learning Artificial Intelligence Artificial Intelligence 130

AWS Machine Learning Blog

MARCH 29, 2024

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.

Chatbots 112

Chatbots Conversational AI Software Engineer Artificial Intelligence 112

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

AI

Marktechpost

MARCH 29, 2024

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.

Large Language Models 131

Large Language Models AI AI ML 131

databricks

MARCH 29, 2024

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

112

112

Marktechpost

MARCH 29, 2024

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).

Automation 126

Automation AI Tools Artificial Intelligence Artificial Intelligence 126

Extreme Tech

MARCH 29, 2024

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

128

128

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.

Business Intelligence

Marktechpost

MARCH 29, 2024

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.

Visual AI 128

Visual AI OpenAI AI AI 128

Towards AI

MARCH 29, 2024

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.

AI 90

AI AI Python Data Analysis 90

Marktechpost

MARCH 29, 2024

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.

AI Research 123

AI Research AI Researcher AI AI 123

Extreme Tech

MARCH 29, 2024

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

126

126

Advertisement

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!

Marktechpost

MARCH 29, 2024

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.

Deep Learning 113

Deep Learning Neural Network Automation ML 113

databricks

MARCH 29, 2024

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

Data Ingestion 96

Data Ingestion 96

Marktechpost

MARCH 29, 2024

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.

Visual AI 111

Visual AI Categorization Computer Vision Automation 111

Towards AI

MARCH 29, 2024

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.

Responsible AI 80

Responsible AI AI AI Artificial Intelligence 80

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.

Generative AI

Marktechpost

MARCH 29, 2024

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.

OpenAI 110

OpenAI Artificial Intelligence Artificial Intelligence ChatGPT 110

Towards AI

MARCH 29, 2024

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

Neural Network 76

Neural Network Large Language Models Explainability Automation 76

Marktechpost

MARCH 29, 2024

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.

Neural Network 105

Neural Network AI Researcher AI Research AI 105