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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What is Chain-of-Thought (CoT) Prompting? Examples & Benefits

Unite.AI

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.

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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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The Ultimate Blueprint for an AI-First Contact Center

Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.

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Adam Jackson, Co-Founder & CEO of Braintrust – Interview Series

Unite.AI

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.

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Last-Mile Deliveries in 2030: Product Trends that Will Change the Industry for the Better

Unite.AI

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.

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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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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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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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The Intersection of AI and Sales: Personalization Without Compromise

Speaker: Jesse Hunter and Brynn Chadwick

Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.

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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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This Machine Learning Paper from Stanford and the University of Toronto Proposes Observational Scaling Laws: Highlighting the Surprising Predictability of Complex Scaling Phenomena

Marktechpost

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.

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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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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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The New CX: Your Guide to AI Agents

The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp

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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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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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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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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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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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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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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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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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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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ESA Releases Stunning New Images From Euclid Space Telescope

Extreme Tech

These images accompany the mission’s first scientific data release.

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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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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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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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Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader

Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.

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Transformative Applications of Deep Learning in Regulatory Genomics and Biological Imaging

Marktechpost

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

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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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