Analytics Vidhya

MAY 24, 2024

News at a Glance The Browser Company has rolled out a unique feature for its iPhone-only Arc Search app, named “Call Arc.” This novel feature lets users ask questions and receive verbal answers by holding their phone to their ear, just like a phone call. It stands out as an innovative twist on traditional voice […] The post Call AI From Your Phone With Arc Search’s ‘Call Arc’ Feature appeared first on Analytics Vidhya.

AI 311

AI AI Artificial Intelligence Artificial Intelligence 311

IBM Journey to AI blog

MAY 24, 2024

The exchange of securities between parties is a critical aspect of the financial industry that demands high levels of security and efficiency. Triparty repo dealing systems, central to these exchanges, require seamless and secure communication across different platforms. The Clearing Corporation of India Limited (CCIL) recently recommended (link resides outside ibm.com) IBM® MQ as the messaging software requirement for all its members to manage the triparty repo dealing system.

Automation 298

Automation 298

Unite.AI

MAY 24, 2024

In recent years, large language models (LLMs) have made remarkable strides in their ability to understand and generate human-like text. These models, such as OpenAI's GPT and Anthropic's Claude, have demonstrated impressive performance on a wide range of natural language processing tasks. However, when it comes to complex reasoning tasks that require multiple steps of logical thinking, traditional prompting methods often fall short.

Large Language Models 162

Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 162

AssemblyAI

MAY 24, 2024

Companies continue to integrate Speech AI technology to turn voice data into insights, and it's paving the way for revolutionary new research techniques. Companies like GRG Health are improving traditional methods of gathering and analyzing healthcare market insights by leveraging AI to streamline data processing to provide faster (and more accurate) insights.

Categorization 147

Categorization Data Analysis AI AI 147

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

MAY 24, 2024

Adam Jackson is the Co-Founder and CEO of Braintrust , an all-in-one hiring solution, that is powered by AI. The platform uses a matching engine that scans 800,000+ talent members globally to find the top 5 candidates to fill any position. The AI is also conducts and grades video interviews, providing enterprises with a detailed scorecard to make fast, and informed hiring decisions.

Automation 147

Automation Algorithm ChatGPT AI 147

Unite.AI

MAY 24, 2024

The future of last-mile deliveries holds promise for customers, driven by emerging trends poised to reshape what is possible in the logistics industry by 2030. From the electrification of delivery fleets to the proliferation of multimodal delivery solutions, companies are exploring novel approaches to enhance customer experiences and the sustainability of their growing operations.

ML 147

ML Artificial Intelligence Artificial Intelligence Machine Learning 147

Marktechpost

MAY 24, 2024

Language models (LMs) are a cornerstone of artificial intelligence research, focusing on the ability to understand and generate human language. Researchers aim to enhance these models to perform various complex tasks, including natural language processing, translation, and creative writing. This field examines how LMs learn, adapt, and scale their capabilities with increasing computational resources.

Machine Learning 126

Machine Learning Natural Language Processing LLM Artificial Intelligence 126

Unite.AI

MAY 24, 2024

In modern machine learning and artificial intelligence frameworks, transformers are one of the most widely used components across various domains including GPT series, and BERT in Natural Language Processing, and Vision Transformers in computer vision tasks. Although including transformers in the model architecture gives a significant boost in the model performance, the attention module in Transformers scales with the sequence length quadratically, leading to high computational challenges.

Convolutional Neural Networks 130

Convolutional Neural Networks Neural Network BERT Natural Language Processing 130

Marktechpost

MAY 24, 2024

Reinforcement learning (RL) is predicated on agents learning to make decisions by interacting with an environment. RL has achieved remarkable feats in various applications, including games, robotics, and autonomous systems. The goal is to develop algorithms that enable agents to perform tasks efficiently by maximizing cumulative rewards through trial-and-error interactions.

Robotics 124

Robotics Algorithm Automation ML 124

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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?

Business Intelligence

Artificial Lawyer

MAY 24, 2024

Following a request for comment on the Stanford University HAI group’s problematic study – (see here for what this is all about) ­– into the effectiveness of Thomson Reuters’ and also L…

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Marktechpost

MAY 24, 2024

Cryptocurrency systems have evolved significantly since Bitcoin was introduced in 2009. As the landscape becomes increasingly complex, integrating artificial intelligence (AI) offers promising avenues for enhancing security and efficiency. AI’s capabilities in data analysis, pattern recognition, and predictive modeling make it a critical tool for addressing the unique challenges advanced cryptocurrency systems face.

Algorithm 118

Algorithm Automation AI AI 118

Extreme Tech

MAY 24, 2024

The driver was able to swerve out of the way in time, but this was the second time the car ignored an oncoming train.

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Marktechpost

MAY 24, 2024

Transformers have greatly transformed natural language processing, delivering remarkable progress across various applications. Nonetheless, despite their widespread use and accomplishments, ongoing research continues to delve into the intricate workings of these models, with a particular focus on the linear nature of intermediate embedding transformations.

Convolutional Neural Networks 122

Convolutional Neural Networks Neural Network Natural Language Processing Machine Learning 122

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

Artificial Lawyer

MAY 24, 2024

The new Fuse incubator / tech space cohort at A&O Shearman has been announced and it’s very focused on the crypto and digital assets world, with 10 companies in that area, along with 6 in…

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108

Marktechpost

MAY 24, 2024

The worldwide wearables industry is predicted to grow at a CAGR of 18% by 2026. With the addition of fitness tracking, health monitoring, virtual assistants, and other capabilities, wearable technology has advanced significantly in the last several years. There is still much room for development, but AI is poised to enhance the performance and functionality of wearables.

Artificial Intelligence 118

Artificial Intelligence Artificial Intelligence AI AI 118

databricks

MAY 24, 2024

In today's digital landscape, secure data sharing is critical to operational efficiency and innovation. Databricks and the Linux Foundation developed Delta Sharing as.

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99

Marktechpost

MAY 24, 2024

Foundation models enable complex tasks such as natural language processing, image recognition, etc. These models leverage large datasets and intricate neural networks to deliver previously unattainable results with traditional algorithms. The use of these models has revolutionized the field of AI, allowing for more accurate and sophisticated analysis and interpretation of data.

Neural Network 118

Neural Network Natural Language Processing Algorithm AI Tools 118

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

Artificial Lawyer

MAY 24, 2024

A controversial Stanford University academic paper has taken aim at Thomson Reuters’ and LexisNexis’ generative AI capabilities.

Generative AI 119

Generative AI AI AI 119

Marktechpost

MAY 24, 2024

AI models have become integral to enhancing computing efficiency, productivity, and user experiences. Developing small language models (SLMs) is a key focus, enabling more efficient processing on personal computing devices. The problem addressed by researchers is the high computational demand for AI models, which often require substantial power and resources, limiting their deployment on smaller devices like personal computers.

AI Modeling 111

AI Modeling AI AI Large Language Models 111

Extreme Tech

MAY 24, 2024

Parts of the human genome affected by viral relics appear to be linked with depression, bipolar disorder, and schizophrenia.

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119

Marktechpost

MAY 24, 2024

Recent technological advancements in genomics and imaging have resulted in a vast increase in molecular and cellular profiling data, presenting challenges for traditional analysis methods. Modern machine learning, particularly deep learning, offers solutions by handling large datasets to uncover hidden structures and make accurate predictions. This article explores deep learning applications in regulatory genomics and cellular imaging, detailing how these techniques work when they are most effec

Deep Learning 105

Deep Learning Neural Network Machine Learning Automation 105

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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

MAY 24, 2024

The quirky device has a small but dedicated fan base that is not pleased with the decision.

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Marktechpost

MAY 24, 2024

LLMs like GPT-4 excel in language comprehension but struggle with high GPU memory usage during inference, limiting their scalability for real-time applications like chatbots. Existing methods reduce memory by compressing the KV cache but overlook inter-layer dependencies and pre-computation memory demands. Inference memory usage primarily comes from model parameters and the KV cache, with the latter consuming significantly more memory.

LLM 100

LLM Large Language Models Chatbots ML 100

Artificial Corner

MAY 24, 2024

Running a Python script could be as easy as opening your IDE or text editor and clicking the run button; however, if the script has to be executed daily or weekly, you don’t want to waste time repeating these steps over and over again. Instead, you could automate your scripts by scheduling jobs that run your Python scripts at specific times. In this article, I’ll show you how to do this on Mac and Windows using the crontab and the task scheduler.

Automation 75

Automation Python AI AI 75

Marktechpost

MAY 24, 2024

Pipecat is a framework designed to simplify the creation of voice and multimodal conversational agents. It can be used to build applications such as personal coaches, meeting assistants, story-telling toys for kids, customer support bots, and social companions. Pipecat allows developers to start small on their local machines and then scale their projects to the cloud when ready, offering flexibility and scalability from the outset.

Conversational AI 92

Conversational AI AI AI OpenAI 92

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

databricks

MAY 24, 2024

The annual Data Team Awards showcase the remarkable efforts of top global enterprise data teams committed to tackling some of today's toughest business.

AI 87

AI AI 87

Marktechpost

MAY 24, 2024

Regarding robotic learning, the standard practice is to use datasets tailored to the particular robot and job at hand to train policies. Starting from scratch in this manner necessitates a substantial amount of data collection for every activity, and the policies that are produced typically display little generalizability. Theoretically, data gathered from previous robots and jobs could be a solution; training models on various control issues could enhance their ability to generalize and perform

Robotics 81

Robotics Natural Language Processing Computer Vision Machine Learning 81

Machine Learning Mastery

MAY 24, 2024

Introduction Imperfect data is the norm rather than the exception in machine learning. Comparably common is the binary class imbalance when the classes in a trained data remains majority/minority class, or is moderately skewed. Imbalanced data can undermine a machine learning model by producing model selection biases. Therefore in the interest of model performance and […] The post Tips for Handling Imbalanced Data in Machine Learning appeared first on MachineLearningMastery.com.

Machine Learning 71

Machine Learning 71