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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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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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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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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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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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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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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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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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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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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15 Modern Use Cases for Enterprise Business Intelligence

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?

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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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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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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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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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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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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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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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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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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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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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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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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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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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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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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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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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Octo: An Open-Sourced Large Transformer-based Generalist Robot Policy Trained on 800k Trajectories from the Open X-Embodiment Dataset

Marktechpost

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

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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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