AI News

JULY 31, 2024

In a report published on Monday, it was disclosed that Apple sidestepped industry leader Nvidia in favour of chips designed by Google. Instead of employing Nvidia’s GPUs for its artificial intelligence software infrastructure, Apple will use Google chips as the cornerstone of AI-related features and tools set to launch soon. The fact that Apple chose to use Google’s cloud infrastructure is quite interesting because Nvidia has already captured this market, bringing Google, Amazon.com,

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Analytics Vidhya

JULY 31, 2024

Introduction ISRO has recently started a series of educational programs devoted to providing essential and profound knowledge on data analytical solutions. Among the offered classes, the LiDAR class is quite elaborate, where extant information regarding LiDAR technology and its use in remote sensing is provided. This is a fundamental method of producing accurate maps and […] The post Course Launched by ISRO for Data Analytics appeared first on Analytics Vidhya.

Data Analysis 301

Data Analysis 301

AI News

JULY 31, 2024

As the EU’s AI Act prepares to come into force tomorrow, industry experts are weighing in on its potential impact, highlighting its role in building trust and encouraging responsible AI adoption. Curtis Wilson, Staff Data Engineer at Synopsys’ Software Integrity Group , believes the new regulation could be a crucial step in addressing the AI industry’s most pressing challenge: building trust. “The greatest problem facing AI developers is not regulation, but a lack of trust in A

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Analytics Vidhya

JULY 31, 2024

Introduction Imagine being able to generate stunning, high-quality images from mere text descriptions. That’s the magic of Stable Diffusion, a cutting-edge text-to-image generating model. At the heart of this incredible process lies a crucial component: positional encoding, also known as timestep encoding. In this article, we’ll dive deep into positional encoding, exploring its functions and […] The post What is the Positional Encoding Stable Diffusion?

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Generative AI AI AI 288

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

JULY 31, 2024

If you saw a deepfake of your company’s CEO, would you be able to tell it wasn’t real? This is a concerning challenge that organizations around the globe are dealing with on a frequent basis. In fact, just recently , an advertising giant was the target of a deepfake of its CEO. A publicly available image of the executive was used to set up a Microsoft Teams meeting in which a voice clone of said executive – sourced from a YouTube video – was deployed.

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Explainability 246

Unite.AI

JULY 31, 2024

The advent of conversational search engines is redefining how we retrieve information online, shifting from traditional keyword searches to more natural, conversational interactions. By combining large language models (LLMs) with real-time web data, these new systems address key issues found in both outdated LLMs and standard search engines. In this article, we'll examine the challenges faced by LLMs and keyword-based searches and explore how conversational search engines offer a promising solut

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Analytics Vidhya

JULY 31, 2024

Introduction In the ever-evolving digital market, the competition for providing innovative consumer experiences is more intense than in the past. In this article, I explore how artificial intelligence (AI) can greatly enhance consumer experiences on digital platforms. I detail how effective data strategies and AI processes can be implemented to develop cutting-edge digital interactions that […] The post Artificial Intelligence for Enhancing Digital Consumer Platforms appeared first on Anal

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Artificial Intelligence Artificial Intelligence AI AI 266

Unite.AI

JULY 31, 2024

Josh Dinneen , CEO of Blue Mantis, is a seasoned leader dedicated to driving the company's organic and M&A-fueled growth and continuously fostering innovation throughout the organization and its growing client base. Formerly President of Blue Mantis, Josh spearheads efforts to enhance the company’s ongoing initiatives aimed at deepening client engagement and sustainability by delivering the optimal experience that produces measurable and positive business outcomes.

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Artificial Intelligence Artificial Intelligence AI AI 173

Analytics Vidhya

JULY 31, 2024

Introduction Prompt engineering has become essential in the rapidly changing fields of artificial intelligence and natural language processing. Of all its methods, the Chain of Numerical Reasoning (CoNR) is one of the most effective ways to improve AI models’ capacity for intricate computations and deductive reasoning. This article explores the complexities of CoNR, its uses, […] The post What is the Chain of Numerical Reasoning in Prompt Engineering?

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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

Unite.AI

JULY 31, 2024

The U.S. Copyright Office's report, “ Copyright and Artificial Intelligence, Part 1: Digital Replicas, ” offers an in-depth examination of the growing intersection between artificial intelligence (AI) and copyright law. This report highlights the complex legal and policy issues emerging from the use of digital technology to create realistic replicas of individuals' voices and appearances.

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Artificial Intelligence Artificial Intelligence AI AI 162

NVIDIA

JULY 31, 2024

In celebration of Zoox ’s 10th anniversary, NVIDIA founder and CEO Jensen Huang recently joined the robotaxi company’s CEO, Aicha Evans, and its cofounder and CTO, Jesse Levinson, to discuss the latest in autonomous vehicle (AV) innovation and experience a ride in the Zoox robotaxi. In a fireside chat at Zoox’s headquarters in Foster City, Calif., the trio reflected on the two companies’ decade of collaboration.

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Unite.AI

JULY 31, 2024

Launched in 2021, GitHub Copilot has become a helpful tool for developers. It is an AI code generator that suggests code snippets and autocompletes lines. Since its launch, Copilot has dramatically improved developers' productivity and code quality. GitHub Copilot has been involved in a legal case since 2022. A group of developers brought the lawsuit because they believed Copilot reused existing open-source code without proper attribution to the original coders.

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Software Development OpenAI AI AI Tools 130

SAS Software

JULY 31, 2024

An article published in Nature has the intriguing title, "AI models collapse when trained on recursively generated data." (Shumailov, et al., 2024). The article is quite readable, but I also recommend a less technical overview of the result: "AI models fed AI-generated data quickly spew nonsense" (Gibney, 2024). The Gibney [.] The post Fit, simulate, fit: How models can collapse after generations of recursive fitting appeared first on SAS Blogs.

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AI Modeling AI AI Generative AI 124

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

NVIDIA

JULY 31, 2024

Enterprises are rapidly adopting generative AI , large language models ( LLMs ), advanced graphics and digital twins to increase operational efficiencies, reduce costs and drive innovation. However, to adopt these technologies effectively, enterprises need access to state-of-the-art, full-stack accelerated computing platforms. To meet this demand, Oracle Cloud Infrastructure (OCI) today announced NVIDIA L40S GPU bare-metal instances available to order and the upcoming availability of a new virtu

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LLM Generative AI AI AI 127

Marktechpost

JULY 31, 2024

Time series data is used globally across various domains, including finance, healthcare, and sensor networks. Identifying patterns and anomalies within this data is crucial for several tasks like anomaly detection, pattern discovery, and time series classification, which can significantly impact decision-making and risk management. Time series analysis methods require high computational resources for understanding complex patterns in massive datasets.

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databricks

JULY 31, 2024

We’re excited to announce the Public Preview of LakeFlow Connect for SQL Server, Salesforce, and Workday. These ingestion connectors enable simple and efficient.

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DeepMind

JULY 31, 2024

Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.

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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

Marktechpost

JULY 31, 2024

In AI, developing language models that can efficiently and accurately perform diverse tasks while ensuring user privacy and ethical considerations is a significant challenge. These models must handle various data types and applications without compromising performance or security. Ensuring that these models operate within ethical frameworks and maintain user trust adds another layer of complexity to the task.

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Neural Network Responsible AI AI AI 119

NVIDIA

JULY 31, 2024

NVIDIA researchers used NVIDIA Edify , a multimodal architecture for visual generative AI, to build a detailed 3D desert landscape within a few minutes in a live demo at SIGGRAPH’s Real-Time Live event on Tuesday. During the event — one of the prestigious graphics conference’s top sessions — NVIDIA researchers showed how, with the support of an AI agent, they could build and edit a desert landscape from scratch within five minutes.

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Generative AI Large Language Models AI AI 124

AWS Machine Learning Blog

JULY 31, 2024

Amazon Web Services (AWS) is committed to supporting the development of cutting-edge generative artificial intelligence (AI) technologies by companies and organizations across the globe. As part of this commitment, AWS Japan announced the AWS LLM Development Support Program (LLM Program), through which we’ve had the privilege of working alongside some of Japan’s most innovative teams.

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LLM Large Language Models Generative AI Explainability 125

Marktechpost

JULY 31, 2024

Early work established polynomial-time algorithms for finding the densest subgraph, followed by explorations of size-constrained variants and extensions to multiple graph snapshots. Researchers have also investigated overlapping dense subgraphs and alternative density measures. Various algorithmic approaches, including greedy and iterative methods, have been developed to address these challenges.

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AWS Machine Learning Blog

JULY 31, 2024

As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. Without proper safeguards, large language models (LLMs) can potentially generate harmful, biased, or inappropriate content, posing risks to individuals and organizations. Applying guardrails helps mitigate these risks by enforcing policies and guidelines that align with ethical principles and legal requirements.

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Marktechpost

JULY 31, 2024

TensorFlow is a powerful open-source framework for building and deploying machine learning models. Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics. By mastering TensorFlow, you gain valuable skills that can enhance your career prospects in the rapidly growing field of AI and machine learning.

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Artificial Lawyer

JULY 31, 2024

Wolters Kluwer in Australia has a novel solution to genAI hallucinations and errors: don’t entirely trust it on its own. Instead, the company is providing.

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Marktechpost

JULY 31, 2024

The Retrieval-Augmented Language Model (RALM) enhances LLMs by integrating external knowledge during inference, which reduces factual inaccuracies. Despite this, RALMs face challenges in reliability and traceability. Noisy retrieval can lead to unhelpful or incorrect responses, and a lack of proper citations complicates verifying the model’s outputs.

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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

Artificial Lawyer

JULY 31, 2024

British tax payers have kindly donated £585,000 ($750,000) to legal tech company Definely, via a Government-backed Innovate UK grant. The additional cash follows an earlier.

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Marktechpost

JULY 31, 2024

The problem of a mediator learning to coordinate a group of strategic agents is considered through action recommendations without knowing their underlying utility functions, such as routing drivers through a road network. The challenge lies in the difficulty of manually specifying the quality of these recommendations, making it necessary to provide the mediator with data on desired coordination behavior.

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Algorithm ML AI AI 102

Machine Learning Mastery

JULY 31, 2024

Large Language Models (LLMs) are a hot topic right now, and everyone is getting involved in this new trend. Companies are searching for LLM engineers who can develop and implement AI solutions to optimize their workflow and reduce costs through automation, customer service, recommendations, issue resolution, and debugging. Instead of worrying that AI will take […] The post 7 Free Resource to Master LLMs appeared first on MachineLearningMastery.com.

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Large Language Models LLM Automation AI 94