AI News

SEPTEMBER 2, 2024

Amazon is gearing up to roll out a revamped version of its Alexa voice assistant , which is expected to be available this October, right before the US shopping rush. Internally referred to as “Remarkable,” the new technology will be powered by Anthropic’s Claude AI models. Sources close to the matter have indicated that this shift occurred due to the underperformance of Amazon’s in-house software.

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Unite.AI

SEPTEMBER 2, 2024

Google has recently introduced a cutting-edge AI tool known as Veo , which allows users to generate videos from text. This innovative tool is currently in a limited-release phase, available only to users in the United States. However, for European residents eager to get early access to Veo, there is a way around this geographical restriction using a Virtual Private Network (VPN).

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AssemblyAI

SEPTEMBER 2, 2024

We are thrilled to release the AssemblyAI.NET SDK , making it easier to use the latest Speech AI models from AssemblyAI with.NET languages like C#, VB.NET, and F#. Use the SDK to transcribe audio, analyze audio using our audio intelligence models, and apply LLMs to your audio data using LeMUR. We set out to build the SDK with the following goals: Make it as intuitive as possible to use all the models and features that AssemblyAI offers using idiomatic C#.

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Unite.AI

SEPTEMBER 2, 2024

As developers and dta scientists, we often find ourselves needing to interact with these powerful models through APIs. However, as our applications grow in complexity and scale, the need for efficient and performant API interactions becomes crucial. This is where asynchronous programming shines, allowing us to maximize throughput and minimize latency when working with LLM APIs.

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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

IBM Journey to AI blog

SEPTEMBER 2, 2024

Historically, data engineers have often prioritized building data pipelines over comprehensive monitoring and alerting. Delivering projects on time and within budget often took precedence over long-term data health. Data engineers often missed subtle signs such as frequent, unexplained data spikes, gradual performance degradation or inconsistent data quality.

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Marktechpost

SEPTEMBER 2, 2024

Generative AI, an area of artificial intelligence, focuses on creating systems capable of producing human-like text and solving complex reasoning tasks. These models are essential in various applications, including natural language processing. Their primary function is to predict subsequent words in a sequence, generate coherent text, and even solve logical and mathematical problems.

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databricks

SEPTEMBER 2, 2024

Rivian chose to modernize its data infrastructure on the Databricks Data Intelligence Platform, giving it the ability to unify all of its data into a common view for downstream analytics and machine learning.

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Marktechpost

SEPTEMBER 2, 2024

IBM releases a new version of Qiskit SDK to address the challenge of optimizing the performance and functionality of the existing version. Qiskit SDK is a leading quantum computing software development kit. As quantum computing evolves, the need for more efficient tools to handle complex quantum workloads becomes increasingly critical. The latest version, Qiskit SDK v1.2, aims to enhance the performance of quantum circuit construction, synthesis, and transpilation, making it easier and faster fo

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databricks

SEPTEMBER 2, 2024

For over 40 years, Thomas’ central ethos has been that companies can elevate job satisfaction and productivity by better understanding how people interact.

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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.

Marktechpost

SEPTEMBER 2, 2024

Cardinality estimation (CE) is crucial in optimizing query performance in relational databases. It involves predicting the number of intermediate results a database query will return, directly influencing the choice of execution plans by query optimizers. Accurate cardinality estimates are essential for selecting efficient join orders, determining whether to use an index and choosing the best join method.

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Towards AI

SEPTEMBER 2, 2024

Last Updated on September 3, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re baking a cake, but instead of sugar, flour, and eggs, you have words like “vanilla,” “chocolate,” and “strawberry” on your countertop. As much as you’d like to start, there’s a problem — your recipe can only follow numeric measurements, not words.

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Marktechpost

SEPTEMBER 2, 2024

In natural language processing (NLP), handling long text sequences effectively is a critical challenge. Traditional transformer models, widely used in large language models (LLMs), excel in many tasks but must be improved when processing lengthy inputs. These limitations primarily stem from the quadratic computational complexity and linear memory costs associated with the attention mechanism used in transformers.

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Pickl AI

SEPTEMBER 2, 2024

Summary: Counting rows is a fundamental task in Power BI that requires careful consideration. This blog explores how to get total number of rows in power query. Additionally, readers will know about the best practices such as optimizing performance, handling context issues, leveraging DAX measures, and troubleshooting common problems like formula errors and data source quality.

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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

Marktechpost

SEPTEMBER 2, 2024

Graph learning focuses on developing advanced models capable of analyzing and processing relational data structured as graphs. This field is essential in various domains, including social networks, academic collaborations, transportation systems, and biological networks. As real-world applications of graph-structured data expand, there is an increasing demand for models that can effectively generalize across different graph domains and handle the inherent diversity and complexity of graph struct

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Viso.ai

SEPTEMBER 2, 2024

As many areas of artificial intelligence (AI) have experienced exponential growth, computer vision is no exception. According to the data from the recruiting platforms – job listings that look for artificial intelligence or computer vision specialists doubled from 2021 to 2023. It’s definitely an exciting time to be in AI. While it is true that there is a need for computer vision specialists, engineers are not the only profiles driving growth in this sector.

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Marktechpost

SEPTEMBER 2, 2024

Information retrieval (IR) is a fundamental aspect of computer science, focusing on efficiently locating relevant information within large datasets. As data grows exponentially, the need for advanced retrieval systems becomes increasingly critical. These systems use sophisticated algorithms to match user queries with relevant documents or passages. Recent developments in machine learning, particularly in natural language processing (NLP), have significantly enhanced the capabilities of IR system

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Pickl AI

SEPTEMBER 2, 2024

Summary: Generative AI and predictive AI represent two distinct approaches within artificial intelligence. Generative AI focuses on creating new content by learning from existing data, while predictive AI analyses historical data to forecast future outcomes. Understanding their differences helps organisations leverage these technologies effectively for innovation and decision-making across various sectors.

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Marktechpost

SEPTEMBER 2, 2024

LLMs have advanced significantly in recent years, demonstrating impressive capabilities in various tasks. However, LLMs’ performance often deteriorates when dealing with long input sequences. This limitation can hinder their applicability in domains requiring extensive information processing, such as document summarization, question answering, and machine translation.

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Pickl AI

SEPTEMBER 2, 2024

Summary: This article covers essential data visualisation using matplotlib techniques, including scatter plots, bar charts, histograms, pie charts, box plots, and heatmaps. Each method explained in terms of its purpose and application, helping you choose the right visualisation for your data analysis needs. Introduction Data visualisation is a powerful tool that helps us understand, interpret, and communicate data effectively.

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Marktechpost

SEPTEMBER 2, 2024

Text-to-image generation has evolved rapidly, with significant contributions from diffusion models, which have revolutionized the field. These models are designed to produce realistic and detailed images based on textual descriptions, which are vital for applications ranging from personalized content creation to artistic endeavors. The ability to precisely control the style of these generated images is paramount, especially in domains where the visual presentation must align closely with specifi

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Pickl AI

SEPTEMBER 2, 2024

Summary: Cython and Python extensions provide powerful tools for optimising performance and creating high-performance applications. By combining the flexibility of Python with the speed of C, developers can write efficient code that runs faster and more efficiently. Discover how to leverage these tools to enhance your projects and achieve better results.

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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

AI

Marktechpost

SEPTEMBER 2, 2024

LAION, a prominent non-profit organization dedicated to advancing machine learning research by developing open and transparent datasets, has recently released Re-LAION 5B. This updated version of the LAION-5B dataset marks a milestone in the organization’s ongoing efforts to ensure the safety and legal compliance of web-scale datasets used in foundational model research.

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Artificial Corner

SEPTEMBER 2, 2024

Via Pixabay Natural language processing (NLP) is a subfield of AI that uses machine learning to enable computers to understand and communicate with human language. NLP is used in various AI applications like chabots. Today, we’ll learn some common NLP techniques. We’ll focus on the concepts. That said, I added some lines of Python code to better understand the techniques with examples (you don’t need to know coding to understand the examples though).

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Marktechpost

SEPTEMBER 2, 2024

Integrating No-Code AI in Non-Technical Higher Education: Recent developments in ML underscore its ability to drive value across diverse sectors. Nevertheless, incorporating ML into non-technical academic programs, such as those in social sciences, presents challenges due to its usual ties with technical fields like computer science. To overcome this barrier, a case-based approach utilizing no-code AI platforms was introduced in a university course, catering to students from varied educational b

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