AI News

AUGUST 2, 2024

Google’s experimental Gemini 1.5 Pro model has surpassed OpenAI’s GPT-4o in generative AI benchmarks. For the past year, OpenAI’s GPT-4o and Anthropic’s Claude-3 have dominated the landscape. However, the latest version of Gemini 1.5 Pro appears to have taken the lead. One of the most widely recognised benchmarks in the AI community is the LMSYS Chatbot Arena, which evaluates models on various tasks and assigns an overall competency score.

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Analytics Vidhya

AUGUST 2, 2024

Introduction Accurate data counting and analysis are vital in Excel, particularly for large datasets. Excel provides several functions for this purpose, with COUNT and COUNTA being key tools for cell tallying under various conditions. While both functions count cells, they are designed for different data types. Let’s look at the specifics of COUNT and COUNTA, […] The post What are COUNT and COUNTA in Excel?

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AI News

AUGUST 2, 2024

As AI takes centre stage in Silicon Valley, an inconvenient truth is emerging behind the scenes: AI has a massive carbon footprint. Tech giants like Microsoft, Google and Amazon have made bold commitments to slash greenhouse gas emissions in the coming years, but the technology they’re betting their futures on is making those climate goals increasingly challenging to achieve.

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Analytics Vidhya

AUGUST 2, 2024

Introduction Artificial intelligence has revolutionized because of Stable Diffusion, which makes producing high-quality images from noise or text descriptions possible. Several essential elements come together in this potent generative model to create amazing visual effects. The five main components of Diffusion Models—the forward and reverse processes, the noise schedule, positional encoding, and neural network architecture—will […] The post What are the Different Components of Diffusion

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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

AI News

AUGUST 2, 2024

Where many have struggled to turn their cloud services into a profitable endeavour, Microsoft has stood out by integrating OpenAI’s successful AI technology. For instance, take TikTok. According to internal financial documents, as of March 2022, ByteDance’s TikTok was spending nearly $20 million every month on OpenAI’s AI model services, which TikTok accessed through Microsoft.

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Unite.AI

AUGUST 2, 2024

This century has seen the rise of digitization and technology across countless businesses and sectors. While tech companies and online retailers have driven much of this transformation, the past decade has also brought these changes to brick-and-mortar establishments as well. As such, supermarkets have increasingly turned to digital technology to improve the shopping experience – everything from self-checkout kiosks and electronic shelf labels to smart shopping carts and inventory tracking s

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Analytics Vidhya

AUGUST 2, 2024

Introduction Suppose you are a representative of a particular company that’s lead to the board of directors making important decisions about the corporation. The main role in decision-making reflected in this choice is assigned to Business Intelligence Analyst who provides relevant information to be used in decision-making. This role is very crucial in the ability […] The post Who is a Business Intelligence Analyst and How to Become One?

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Unite.AI

AUGUST 2, 2024

Female business leaders are playing a vital role in AI ’s development, safety and social impact. Yet they remain a stark minority in AI fields, representing just 26% of analytics and AI job positions and authoring 14% of AI research papers. Ironically, we are about to see AI transform many aspects of life that have traditionally been associated with women.

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IBM Journey to AI blog

AUGUST 2, 2024

The European Union’s AI Act entered into force on August 1. The EU AI Act is one of the first regulations of artificial intelligence to be adopted in one of the world’s largest markets. What is it going to change for businesses? What is the EU AI Act? The European Union (EU) is the first major market to define new rules around AI. “The aim is to turn the EU into a global hub for trustworthy AI,” according to EU officials.

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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

DeepMind

AUGUST 2, 2024

New research analyzes the misuse of multimodal generative AI today, in order to help build safer and more responsible technologies.

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Marktechpost

AUGUST 2, 2024

Reinforcement learning (RL) focuses on how agents can learn to make decisions by interacting with their environment. These agents aim to maximize cumulative rewards over time by using trial and error. This field is particularly challenging due to the need for large amounts of data and the difficulty in handling sparse or absent rewards in real-world applications.

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AWS Machine Learning Blog

AUGUST 2, 2024

This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Company earnings calls are crucial events that provide transparency into a company’s financial health and prospects. Earnings reports detail a firm’s financials over a specific period, including revenue, net income, earnings per share, balance sheet, and cash flow statement.

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Marktechpost

AUGUST 2, 2024

The Role of AI in Medicine: AI simulates human intelligence in machines and has significant applications in medicine. AI processes large datasets to identify patterns and build adaptive models, particularly in deep learning for medical image analysis, such as X-rays and MRIs. Multi-agent systems enhance distributed AI, enabling medical robots to assist in surgeries and patient care.

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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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AWS Machine Learning Blog

AUGUST 2, 2024

GraphStorm is a low-code enterprise graph machine learning (GML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems.

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Marktechpost

AUGUST 2, 2024

In a seminal announcement, Black Forest Labs has emerged as a new player in the generative AI landscape. With deep roots in the research community, this innovative company aims to revolutionize the field of generative deep learning models, particularly focusing on media such as images and videos. Their mission is clear: to push the boundaries of creativity, efficiency, and diversity in AI-generated content.

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databricks

AUGUST 2, 2024

Training a high-quality machine learning model requires careful data and feature preparation. To fully utilize raw data stored as tables in Databricks, running.

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Marktechpost

AUGUST 2, 2024

LLMs have shown impressive abilities in handling complex question-answering tasks, supported by advancements in model architectures and training methods. Techniques like chain-of-thought (CoT) prompting have gained popularity for improving the explanation and accuracy of responses by guiding the model through intermediate reasoning steps. However, CoT prompting can result in longer outputs, increasing the time needed for response generation due to the word-by-word decoding process of autoregress

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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

Extreme Tech

AUGUST 2, 2024

The company is taking drastic action to shore up its balance sheet and to become more agile in the face of stiff competition.

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Marktechpost

AUGUST 2, 2024

Deep learning has become a powerful tool for classifying pathological voices, particularly in the GRBAS (Grade, Roughness, Breathiness, Asthenia, Strain) scale assessment. The GRBAS scale is a standardized method clinicians use to evaluate voice disorders based on auditory-perceptual judgment. Traditional methods for classifying pathological voices often rely on manual feature extraction and subjective analysis, which can be time-consuming and inconsistent.

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Towards AI

AUGUST 2, 2024

Last Updated on August 6, 2024 by Editorial Team Author(s): Antonello Sale Originally published on Towards AI. Photo by Bernd 📷 Dittrich on Unsplash The world of artificial intelligence is changing rapidly, right? One of the pillars of this transformation has been the adoption of large language models(LLM) and we cannot imagine the development of AI without them.

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Marktechpost

AUGUST 2, 2024

The number of modern applications containing both the backend and frontend code with one or more generative AI models is increasing rapidly. Developers are required to keep up with the expanding field of AI engineering in order to incorporate these models into their latest projects. Currently, the major issue that developers are facing is limited access to machine learning models, which hinders their ability to leverage AI in building applications.

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Extreme Tech

AUGUST 2, 2024

Delegating drive-thru duties to AI frees Taco Bell's human employees to 'focus on front-of-house hospitality,' executives say.

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Marktechpost

AUGUST 2, 2024

Ensuring data privacy and security during computational processes presents a significant challenge, particularly when using cloud services. Traditional encryption methods require data to be decrypted before processing, exposing it to potential risks. Homomorphic encryption offers a promising solution, allowing computations on encrypted data without revealing the underlying information.

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Artificial Corner

AUGUST 2, 2024

Unsplash If you’re an introvert, probably you have a hard time maintaining eye contact while talking to people. This issue isn’t exclusive to face-to-face conversations, but can also happen to you during video conferences (for example, when reading a script). Although tech can’t help you magically keep eye contact in a real face-to-face conversation, there’s an AI tool that adds an eye contact effect to your video conferences.

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Marktechpost

AUGUST 2, 2024

Speech recognition is a rapidly evolving field that enables machines to understand and transcribe human speech across various languages. This technology is vital for virtual assistants, automated transcription services, and language translation applications. Despite significant advancements, the challenge of covering all languages, particularly low-resource ones, remains substantial.

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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

Extreme Tech

AUGUST 2, 2024

A storage center on the Moon could serve as a backup resource for the biological record and for genetic resurrection attempts.

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Marktechpost

AUGUST 2, 2024

Large Language Models (LLMs) have gained significant traction in various domains, revolutionizing applications from conversational agents to content generation. These models demonstrate exceptional capabilities in comprehending and producing human-like text, enabling sophisticated applications across diverse fields. However, the deployment of LLMs necessitates robust mechanisms to ensure safe and responsible user interactions.

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Extreme Tech

AUGUST 2, 2024

The company used to rent a single midrange configuration but has now expanded to high-end and low-end models as well.

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