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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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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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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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.

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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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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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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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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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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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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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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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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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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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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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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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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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