Unite.AI

OCTOBER 16, 2024

Emily Popson is the Vice President of Growth Marketing at CallRail , where she leads demand generation, website optimization, customer marketing, and content marketing teams. Having previously been a small business owner herself, Popson is passionate about making modern marketing analytics tools accessible to even the smallest teams and companies. Can you share more about your professional journey and how your experiences led you to your current role as Vice President of Growth Marketing at Cal

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AI News

OCTOBER 16, 2024

Endor Labs has begun scoring AI models based on their security, popularity, quality, and activity. Dubbed ‘Endor Scores for AI Models,’ this unique capability aims to simplify the process of identifying the most secure open-source AI models currently available on Hugging Face – a platform for sharing Large Language Models (LLMs), machine learning models, and other open-source AI models and datasets – by providing straightforward scores.

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Unite.AI

OCTOBER 16, 2024

UltiHash , a provider of high-performance and eco-friendly data storage solutions, has launched its object storage platform to address critical issues in AI data storage. This development aims to resolve mounting challenges in the AI industry related to infrastructure costs and environmental sustainability. The new platform enhances performance for data-heavy applications, including generative AI and advanced analytics, offering scalable and sustainable solutions for data management.

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Analytics Vidhya

OCTOBER 16, 2024

Introduction Creating visually engaging content can be a time-consuming task for bloggers and creators. After crafting a compelling article, finding the right images is often a separate challenge. But what if Blog Creation with AI could do it all for you? Imagine a seamless process where, alongside your writing, AI generates original, high-quality images tailored […] The post Automated Image Generation: Transforming Your Blog Creation Process appeared first on Analytics Vidhya.

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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

Unite.AI

OCTOBER 16, 2024

In Support Experience: How Innovative Companies Use Artificial Intelligence to Win the Hearts, Minds, and Wallets of Customers , author Krishna Raj Raja introduces a fresh approach to customer relationships powered by AI. The book highlights how leading companies are turning customer support into a proactive, strategic tool that boosts long-term business success.

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Unite.AI

OCTOBER 16, 2024

Universities today face many challenges. With today’s market shifts, universities must adapt. Today’s key issues include economic downtrends hitting endowments, enrollment challenges due to rising tuition, and competition from third-party online education and demographic shifts leading to a shrinking pool of new students. Meanwhile, brain drain sees many top-performing scientists elect to enter the private sector over academia, with long term implications on academia's ability to drive the next

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Marktechpost

OCTOBER 16, 2024

Quantum computers are a revolutionary technology that harnesses the principles of quantum mechanics to perform calculations that would be infeasible for classical computers. Evaluating the performance of quantum computers has been a challenging task due to their sensitivity to noise, the complexity of quantum algorithms, and the limited availability of powerful quantum hardware.

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Unite.AI

OCTOBER 16, 2024

Artificial Intelligence (AI) has revolutionized how we interact with technology, leading to the rise of virtual assistants , chatbots , and other automated systems capable of handling complex tasks. Despite this progress, even the most advanced AI systems encounter significant limitations known as knowledge gaps. For instance, when one asks a virtual assistant about the latest government policies or the status of a global event, it might provide outdated or incorrect information.

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Marktechpost

OCTOBER 16, 2024

High-performance AI models that can run at the edge and on personal devices are needed to overcome the limitations of existing large-scale models. These models require significant computational resources, making them dependent on cloud environments, which poses privacy risks, increases latency, and adds costs. Additionally, cloud reliance is not suitable for offline scenarios.

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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

Extreme Tech

OCTOBER 16, 2024

Android 15 brings AI-powered theft protection, a way to hide sensitive apps, enhanced multitasking for foldables, and some improved camera features.

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Marktechpost

OCTOBER 16, 2024

Large language models (LLMs) have gained widespread adoption due to their advanced text understanding and generation capabilities. However, ensuring their responsible behavior through safety alignment has become a critical challenge. Jailbreak attacks have emerged as a significant threat, using carefully crafted prompts to bypass safety measures and elicit harmful, discriminatory, violent, or sensitive content from aligned LLMs.

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AWS Machine Learning Blog

OCTOBER 16, 2024

This post was co-written with Lucas Desard, Tom Lauwers, and Sam Landuydt from DPG Media. DPG Media is a leading media company in Benelux operating multiple online platforms and TV channels. DPG Media’s VTM GO platform alone offers over 500 days of non-stop content. With a growing library of long-form video content, DPG Media recognizes the importance of efficiently managing and enhancing video metadata such as actor information, genre, summary of episodes, the mood of the video, and more.

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Marktechpost

OCTOBER 16, 2024

Reinforcement learning (RL) provides a framework for learning behaviors for control and making decisions (known as policies) that help the model earn the most rewards in a given environment. Online RL algorithms iteratively take actions, collecting observations and rewards from the environment, and then update their policy using the latest experience.

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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

AWS Machine Learning Blog

OCTOBER 16, 2024

In today’s rapidly changing world, monitoring the health of our planet’s vegetation is more critical than ever. Vegetation plays a crucial role in maintaining an ecological balance, providing sustenance, and acting as a carbon sink. Traditionally, monitoring vegetation health has been a daunting task. Methods such as field surveys and manual satellite data analysis are not only time-consuming, but also require significant resources and domain expertise.

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Marktechpost

OCTOBER 16, 2024

Machine learning focuses on developing models that can learn from large datasets to improve their predictions and decision-making abilities. One of the core areas of development within machine learning is neural networks, which are especially critical for tasks such as image recognition, language processing, and autonomous decision-making. These models are governed by scaling laws, suggesting that increasing model size and the amount of training data enhances performance.

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Artificial Lawyer

OCTOBER 16, 2024

Juro, which focuses on corporate contracting needs, has launched ‘AI Extract’ to accelerate the review of incoming third-party contracts. The new feature will analyse contracts.

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Marktechpost

OCTOBER 16, 2024

Large language models (LLMs) have revolutionized various fields by enabling more effective data processing, complex problem-solving, and natural language understanding. One major innovation is retrieval-augmented generation (RAG), which allows LLMs to retrieve relevant information from external sources, such as large knowledge databases, to generate better answers.

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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

databricks

OCTOBER 16, 2024

AI/BI Genie is a conversational experience for business teams to self-serve insights from their data through natural language. Genie leverages generative AI tailored.

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Marktechpost

OCTOBER 16, 2024

The most serious challenge regarding IGNNs relates to slow inference speed and scalability. While these networks are effective at capturing long-range dependencies in graphs and addressing over-smoothing issues, they require computationally expensive fixed-point iterations. This reliance on iterative procedures severely limits their scalability, particularly when applied to large-scale graphs, such as those in social networks, citation networks, and e-commerce.

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Machine Learning Mastery

OCTOBER 16, 2024

As data scientists with Python programming skills, we use Scikit-Learn a lot. It’s a machine learning package usually taught to new users initially and can be used right through to production. However, much of what is being taught is basic implementation, and Scikit-Learn contains many secrets to improve our data workflow.

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Marktechpost

OCTOBER 16, 2024

The need for efficient and trustworthy techniques to assess the performance of Large Language Models (LLMs) is increasing as these models are incorporated into more and more domains. When evaluating how effectively LLMs operate in dynamic, real-world interactions, traditional assessment standards are frequently used on static datasets, which present serious issues.

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After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

databricks

OCTOBER 16, 2024

At Databricks, we are constantly innovating and optimizing our platform to ensure that our customers can maximize the value of their data and.

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Extreme Tech

OCTOBER 16, 2024

It's the first time we've seen an actual chip from this architecture, which is due in 2025.

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NYU Center for Data Science

OCTOBER 16, 2024

In the wake of OpenAI’s announcement of their new o1 model, CDS Professor of Computer Science and Data Science Kyunghyun Cho tweeted, “ Phew, did you say multiple models, inference time adaptive compute, multimodality and language? ” The tweet linked to a paper from 2018, hinting at the foundational research behind these now-commercialized ideas. In the fast-paced world of artificial intelligence, groundbreaking ideas can sometimes take years to materialize in commercial products.

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Extreme Tech

OCTOBER 16, 2024

The country's plans include research into dark matter, the evolution of the universe, and more.

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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

Marktechpost

OCTOBER 16, 2024

Photovoltaic energy, which uses solar panels to turn sunlight into electricity, is an important part of the shift to renewable energy. Deep learning-based prediction is critical for optimizing output, anticipating weather fluctuations, and improving solar system efficiency, allowing for more intelligent energy network management. There are numerous techniques for predicting PV power generation.

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Extreme Tech

OCTOBER 16, 2024

The two companies will remain 'vigorous competitors,' however.

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Marktechpost

OCTOBER 16, 2024

Large Language Models (LLMs) have demonstrated remarkable progress in natural language processing tasks, inspiring researchers to explore similar approaches for text-to-image synthesis. At the same time, diffusion models have become the dominant approach in visual generation. However, the operational differences between the two approaches present a significant challenge in developing a unified methodology for language and vision tasks.

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