Fri.May 24, 2024

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Call AI From Your Phone With Arc Search’s ‘Call Arc’ Feature

Analytics Vidhya

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.

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Enhancing triparty repo transactions with IBM MQ for efficiency, security and scalability

IBM Journey to AI blog

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.

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How to Use Speech AI for Healthcare Market Research

AssemblyAI

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.

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How to Navigate Security Concerns in AI-Enabled Autopay

Aiiot Talk

AI-enabled autopay systems leverage advanced machine learning algorithms to automate payment processes and make transactions faster and more efficient. Due to their ability to streamline operations and reduce human error, these systems are increasingly becoming integral in the retail, finance and health care sectors. However, as your reliance on these technologies grows, it’s crucial to address security concerns to maintain trust and protect the integrity of your data.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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MambaOut: Do We Really Need Mamba for Vision?

Unite.AI

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.

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A Tesla's Near Miss With a Train Raises New Concerns About Self-Driving Cars

Extreme Tech

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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Enhancing Security and Efficiency: The Integral Role of AI in Advanced Cryptocurrency Systems

Marktechpost

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.

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Stanford GenAI Study Debacle – Thomson Reuters Replies

Artificial Lawyer

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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DIAMOND (DIffusion as a Model of Environment Dreams): A Reinforcement Learning Agent Trained in a Diffusion World Model

Marktechpost

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.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Delta Sharing: Secure End-to-End Data Sharing Solution

databricks

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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Unveiling the Hidden Linearity in Transformer Decoders: New Insights for Efficient Pruning and Enhanced Performance

Marktechpost

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.

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New A&O Shearman Fuse Cohort Announced

Artificial Lawyer

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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AI Wearables: Transforming Day-To-Day Life

Marktechpost

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.

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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Behind AI #14: How to Automate Your Python Scripts on Mac and Windows

Artificial Corner

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.

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AmbientGPT: An Open-Source and Multimodal MacOS Foundation Model GUI

Marktechpost

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.

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Shaping the Future With Data and AI: Announcing the 2024 Databricks GenAI Innovation Award Finalists

databricks

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

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Microsoft Introduces Phi Silica: A 3.3 Billion Parameter AI Model Transforming Efficiency and Performance in Personal Computing

Marktechpost

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.

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IT Leadership Agrees AI is Here, but Now What?

IT leaders are experiencing rapid evolution in AI amid sustained investment uncertainty. As AI evolves, enhanced cybersecurity and hiring challenges grow. This whitepaper offers real strategies to manage risks and position your organization for success.

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Tips for Handling Imbalanced Data in Machine Learning

Machine Learning Mastery

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.

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PyramidInfer: Allowing Efficient KV Cache Compression for Scalable LLM Inference

Marktechpost

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.

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Problematic Stanford GenAI Study Takes Aim at Thomson Reuters + LexisNexis

Artificial Lawyer

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

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Pipecat: An Open Source Framework for Voice and Multimodal Conversational AI

Marktechpost

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.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation.

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Common Psychiatric Conditions Are Potentially Associated With Ancient Viral DNA: Study

Extreme Tech

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

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Identifying time delays in batch manufacturing for accurate anomaly detection

SAS Software

Batch manufacturing involves producing goods in batches rather than in a continuous stream. This approach is common in industries such as pharmaceuticals, chemicals, and materials processing, where precise control over the production process is essential to ensure product quality and consistency. One critical aspect of batch manufacturing is the need to manage and understand inherent time delays that occur at various stages of the process.

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Spotify Is Going to Turn Every 'Car Thing' It Sold Into E-Waste

Extreme Tech

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

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These students are creating apps for our daily lives with SAS

SAS Software

Remember when the popular catchphrase, “We have an app for that,” was the new big thing? You might not if you’re as young as the NC State University students who recently participated in the 11th annual SAS-NC State Design Project, but back when we could still count 21st-century years in [.

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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US Is Likely to Resume 25% Tariffs on PC Hardware Made in China

Extreme Tech

The tariffs will impact GPUs, PC cases, power supplies, and motherboards.

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Large Action Models: Beyond Language, Into Action

Viso.ai

Large Action Models (LAMs) are deep learning models that aim to understand instructions and execute complex tasks and actions accordingly. LAMs also combine language understanding with reasoning and software agents. Although still under research and development, these models can be a transformative force in the Artificial Intelligence (AI) world. LAMs represent a significant leap beyond text generation and understanding.

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G.Skill Unveils Trident Z5 Royal DDR5-8400 Memory Kits

Extreme Tech

The company's most glamorous RAM design returns for the DDR5 era.

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