Analytics Vidhya

MARCH 23, 2024

Introduction Meet Devika AI: your new go-to buddy in the world of coding. It’s not your typical run-of-the-mill software; it’s here to shake things up! Picture this: you’ve got an idea, a spark of creativity, but you’re unsure how to translate it into code. That’s where Devika AI swoops in to save the day. You […] The post Devika AI: An Open Source Alternative to Devin AI appeared first on Analytics Vidhya.

AI 359

AI AI AI Tools Deep Learning 359

Marktechpost

MARCH 23, 2024

HuggingFace Researchers introduce Quanto to address the challenge of optimizing deep learning models for deployment on resource-constrained devices, such as mobile phones and embedded systems. Instead of using the standard 32-bit floating-point numbers (float32) for representing their weights and activations, the model uses low-precision data types like 8-bit integers (int8) that reduce the computational and memory costs of evaluating.

Deep Learning 144

Deep Learning Python Large Language Models Automation 144

Analytics Vidhya

MARCH 23, 2024

Introduction In the modern world, technology enables us to accomplish incredible feats, with Artificial Intelligence (AI) being a particularly thrilling aspect of this progress. AI tools are opening up fresh opportunities for individuals to earn money, regardless of whether they are business owners or seeking additional sources of income. Our guide demonstrates how you can […] The post How to Make Money Using AI Tools?

AI Tools 312

AI Tools Artificial Intelligence Artificial Intelligence AI 312

Marktechpost

MARCH 23, 2024

Football has always been a game of tactical brilliance and strategic genius. From the dugouts of your local parks to the hallowed turf of the biggest stadiums, coaches are constantly tinkering with formations, set-piece routines, and game plans – all in pursuit of that elusive winning edge. But in the modern era, the battle for footballing supremacy is no longer just about the intuition of brilliant minds.

Deep Learning 144

Deep Learning Neural Network Data Mining Artificial Intelligence 144

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

Extreme Tech

MARCH 23, 2024

Your most frequently asked questions about gravity, answered. Now with more spooky action at a distance!

117

117

Salmon Run

MARCH 23, 2024

Drug Discovery is a field where biochemists (and more recently computer scientists) turn ideas into potential medications.

Machine Learning 45

Machine Learning Neural Network Computer Scientist Deep Learning 45

Marktechpost

MARCH 23, 2024

In the dynamic realm of computer vision and artificial intelligence, a new approach challenges the traditional trend of building larger models for advanced visual understanding. The approach in the current research, underpinned by the belief that larger models yield more powerful representations, has led to the development of gigantic vision models.

Computer Vision 135

Computer Vision Artificial Intelligence Artificial Intelligence Robotics 135

Marktechpost

MARCH 23, 2024

Decompilation plays a crucial role in software reverse engineering, enabling the analysis and understanding of binary executables when their source code is inaccessible. This is particularly valuable for software security analysis, bug detection, and the recovery of legacy code. However, traditional decompilation techniques often need help to produce human-readable and semantically accurate source code, posing a significant challenge.

Large Language Models 129

Large Language Models Software Engineer ML Artificial Intelligence 129

Marktechpost

MARCH 23, 2024

Researchers and developers need to run large language models (LLMs) such as GPT (Generative Pre-trained Transformer) efficiently and quickly. This efficiency heavily depends on the hardware used for training and inference tasks. Central Processing Units (CPUs) and Graphics Processing Units (GPUs) are the main contenders in this arena. Each has strengths and weaknesses in processing the complex computations LLMs require.

Large Language Models 128

Large Language Models Machine Learning ML AI Research 128

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 23, 2024

Harnessing the strong language understanding and generation potential of Large Language Models (LLMs), Multimodal Large Language Models (MLLMs) have been developed in recent years for vision-and-language understanding tasks. MLLMs have shown promising results in understanding general images by aligning a pre-trained visual encoder (e.g., the Vision Transformers) and the LLM with a Vision-toText (V2T) module.

Large Language Models 131

Large Language Models LLM ML Computer Vision 131

Marktechpost

MARCH 23, 2024

Deep features are pivotal in computer vision studies, unlocking image semantics and empowering researchers to tackle various tasks, even in scenarios with minimal data. Lately, techniques have been developed to extract features from diverse data types like images, text, and audio. These features serve as the bedrock for various applications, from classification to weakly supervised learning, semantic segmentation, neural rendering, and the cutting-edge field of image generation.

Computer Vision 132

Computer Vision Neural Network Machine Learning Algorithm 132

Marktechpost

MARCH 23, 2024

The term “text mining” refers to discovering new patterns and insights in massive amounts of textual data. Generating a taxonomy—a collection of structured, canonical labels that characterize features of the corpus—and text classification—the labeling of instances within the corpus using said taxonomy—are two fundamental and related activities in text mining.

Machine Learning 130

Machine Learning LLM Large Language Models Chatbots 130

Marktechpost

MARCH 23, 2024

The relentless pursuit of refining artificial intelligence has led to the creation of sophisticated Large Language Models (LLMs) such as GPT-3 and GPT-4, significantly expanding the boundaries of machine understanding and interaction with human language. These models, developed by leading research institutions and tech giants, have showcased their potential by excelling in various reasoning tasks, from solving complex mathematical problems to understanding nuances in natural language.

Large Language Models 126

Large Language Models Artificial Intelligence Artificial Intelligence AI 126

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 23, 2024

In academic research, particularly in computer vision, keeping track of conference papers can be a real challenge. Unlike journal articles, conference papers often lack easily accessible metadata such as DOI or ISBN, making them harder to find and cite. Researchers have to spend a lot of time manually searching for this information on platforms like Google Scholar or DBLP, which can be time-consuming and frustrating.

AI Research 124

AI Research AI Researcher Metadata Computer Vision 124

Marktechpost

MARCH 23, 2024

The search for rapid discovery and materials characterization with tailored properties has recently intensified. One of the central aspects of this research is the understanding of crystal structures, which are inherently complex due to their periodic and infinite nature. This complexity presents a formidable challenge in accurately modeling and predicting material properties, a challenge that traditional computational and experimental methods need help to meet efficiently.

Machine Learning 115

Machine Learning Neural Network ML AI 115

Marktechpost

MARCH 23, 2024

Although AI is a rapidly growing industry, there are often many obstacles on the path from groundbreaking research to practical applications. Raising the quality of AI models to that of production is a big challenge. Although researchers can create robust models, making them suitable for practical applications can be time-consuming and arduous. Meet Reprompt AI , a cool-start startup with the ambitious goal of transforming how AI teams connect development and deployment.

Artificial Intelligence 100

Artificial Intelligence Artificial Intelligence AI AI 100

Marktechpost

MARCH 23, 2024

Large language models like GPT-4 are incredibly powerful, but they sometimes struggle with basic tasks involving visual perception – like counting objects in an image. It turns out part of the issue may stem from how these models process high-resolution images. Most current multimodal AI systems can only perceive images at a fixed low resolution, like 224×224 pixels.

Large Language Models 99

Large Language Models ML AI AI 99

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