Unite.AI

OCTOBER 21, 2024

Quantum computing , once a theoretical field, is now rapidly transforming into a groundbreaking technological frontier. At the heart of this revolution are Q uantum Processing Units (QPUs) — the engines powering quantum computers. Unlike classical processors that rely on binary logic (bits representing 0s or 1s), QPUs leverage the unique properties of quantum mechanics to process information in ways that classical computers cannot.

Machine Learning 194

Machine Learning Artificial Intelligence Artificial Intelligence Algorithm 194

AI News

OCTOBER 21, 2024

IBM has taken the wraps off its most sophisticated family of AI models to date, dubbed Granite 3.0, at the company’s annual TechXchange event. The Granite 3.0 lineup includes a range of models designed for various applications: General purpose/language: 8B and 2B variants in both Instruct and Base configurations Safety: Guardian models in 8B and 2B sizes, designed to implement guardrails Mixture-of-Experts: A series of models optimised for different deployment scenarios IBM claims that its

AI Modeling 184

AI Modeling Big Data AI AI 184

Analytics Vidhya

OCTOBER 21, 2024

Our previous guide discussed the first Agentic AI design pattern from the Reflection, Tool Use, Planning, and Multi-Agent Patterns list. Now, we will talk about the Tool Use Pattern in Agentic AI. Firstly, let us reiterate the Reflection Pattern article: That article sheds light on how LLMs can use an iterative generation process and self-assessment […] The post What is Agentic AI Tool Use Pattern?

AI Tools 144

AI Tools AI AI Generative AI 144

AssemblyAI

OCTOBER 21, 2024

Converting speech to text in Java can present challenges due to the complexity of audio processing and the need for accurate speech recognition. However, modern libraries and cloud-based APIs have made it easier to implement these features in Java applications. This article focuses on how to convert speech to text using AssemblyAI's Java SDK, a powerful solution for high-accuracy transcription tasks.

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Metadata AI Modeling AI AI 144

Speaker: Jay Allardyce

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

Unite.AI

OCTOBER 21, 2024

In a significant development that underscores the explosive growth of artificial intelligence technologies, Perplexity AI is reportedly in discussions to secure approximately $500 million in new funding. The potential investment round could catapult the AI search company's valuation to $8 billion, marking a substantial increase from its previous valuation earlier this year.

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Artificial Intelligence Artificial Intelligence AI AI 130

IBM Journey to AI blog

OCTOBER 21, 2024

In the age of relentless digital progression, businesses stand on the brink of a data renaissance. The proliferation of digital devices and interactions has resulted in an unparalleled influx of data, which businesses must navigate with precision and strategy. Enterprises require more than just traditional data management; they need to harness the momentum of advanced data intelligence solutions to help ensure innovative prowess and maintain market dominance.

Data Quality 100

Data Quality Big Data Artificial Intelligence Artificial Intelligence 100

Analytics Vidhya

OCTOBER 21, 2024

With this blog, I would like to show one small agent built-in with `LangGraph` and Google Gemini for research purposes. The objective is to demonstrate one research agent (Paper-to-Voice Assistant) who plans to summarize the research paper. This tool will use a vision model to infer the information. This method only identifies the step and […] The post Paper-to-Voice Assistant: AI Agent Using Multimodal Approach appeared first on Analytics Vidhya.

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AI AI LLM 111

NVIDIA

OCTOBER 21, 2024

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies. Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and

Computer Vision 91

Computer Vision AI AI Generative AI 91

Extreme Tech

OCTOBER 21, 2024

The compromised data reportedly includes source code for several of Cisco's enterprise customers, including Microsoft, AT&T, and Bank of America.

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Marktechpost

OCTOBER 21, 2024

The dynamics of protein structures are crucial for understanding their functions and developing targeted drug treatments, particularly for cryptic binding sites. However, existing methods for generating conformational ensembles are plagued by inefficiencies or lack of generalizability to work beyond the systems they were trained on. Molecular dynamics (MD) simulations, the current standard for exploring protein movements, are computationally expensive and limited by short time-step requirements,

Neural Network 90

Neural Network Inference Engine Machine Learning ML 90

Extreme Tech

OCTOBER 21, 2024

The experimental therapy takes just a few weeks and removed insulin from the equation for 86% of trial participants.

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Marktechpost

OCTOBER 21, 2024

Artificial intelligence is advancing rapidly, but enterprises face many obstacles when trying to leverage AI effectively. Organizations require models that are adaptable, secure, and capable of understanding domain-specific contexts while also maintaining compliance and privacy standards. Traditional AI models often struggle with delivering such tailored performance, requiring businesses to make a trade-off between customization and general applicability.

AI Modeling 84

AI Modeling Large Language Models Inference Engine Natural Language Processing 84

Extreme Tech

OCTOBER 21, 2024

At just 65W, it could be the new bang-for-the-buck performance champ.

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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

PyImageSearch

OCTOBER 21, 2024

Home Table of Contents Predictive Maintenance Using Isolation Forest What Is Predictive Maintenance? And Why Anomaly Detection? Predictive Maintenance Predictive Maintenance as Anomaly Detection The Isolation Forest Algorithm Isolation Trees Anomaly Score Building the Forest Implementing Predictive Maintenance Using Isolation Forest Setup and Data Preparation Building Isolation Trees Computing Anomaly Scores Building the Forest Testing and Evaluating Summary Citation Information Predictive Maint

Computer Vision 70

Computer Vision Deep Learning Algorithm Machine Learning 70

TheSequence

OCTOBER 21, 2024

Created Using DALL-E I wanted to devote some installments of The Sequence to outline some reflections about several controversial ideas around AI. At the end, one of the rarest things to find in today’s market plagued with hundreds of AI newsletters are publications that discuss original ideas. I think this section would be a cool complement to our interview series and, if nothing else, might force you to think about these topics even if you disagree with my opinion 😉 Today, I woul

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AI AI 69

Extreme Tech

OCTOBER 21, 2024

Mars' dusty ice deposits could imitate a known reservoir of life on Earth.

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Marktechpost

OCTOBER 21, 2024

Large language models (LLMs) can understand and generate human-like text across various applications. However, despite their success, LLMs often need help in mathematical reasoning, especially when solving complex problems requiring logical, step-by-step thinking. This research field is evolving rapidly as AI researchers explore new methods to enhance LLMs’ capabilities in handling advanced reasoning tasks, particularly in mathematics.

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Large Language Models Inference Engine AI AI 62

Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

AI

Microsoft AI

OCTOBER 21, 2024

AI The post With Copilot agents, Pets at Home unleashes an AI revolution appeared first on Source.

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AI AI 89

Marktechpost

OCTOBER 21, 2024

Artificial intelligence (AI) and machine learning (ML) revolve around building models capable of learning from data to perform tasks like language processing, image recognition, and making predictions. A significant aspect of AI research focuses on neural networks, particularly transformers. These models use attention mechanisms to process data sequences more effectively.

Machine Learning 62

Machine Learning Neural Network Inference Engine Natural Language Processing 62

NVIDIA

OCTOBER 21, 2024

Ahead of a visit to the hospital for a surgical procedure, patients often have plenty of questions about what to expect — and can be plenty nervous. To help minimize pre-surgery jitters, NVIDIA and Deloitte are developing AI agents using NVIDIA AI to bring the next generation of digital, frontline teammates to patients before they even step foot inside the hospital.

Large Language Models 58

Large Language Models Conversational AI AI AI 58

Marktechpost

OCTOBER 21, 2024

The rapid progress of text-to-image (T2I) diffusion models has made it possible to generate highly detailed and accurate images from text inputs. However, as the length of the input text increases, current encoding methods, such as CLIP (Contrastive Language-Image Pretraining), encounter various limitations. These methods struggle to capture the full complexity of long text descriptions, making it difficult to maintain alignment between the text and the generated images which creates challenges

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Inference Engine Large Language Models LLM ML 57

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AWS Machine Learning Blog

OCTOBER 21, 2024

Generative AI adoption among various industries is revolutionizing different types of applications, including image editing. Image editing is used in various sectors, such as graphic designing, marketing, and social media. Users rely on specialized tools for editing images. Building a custom solution for this task can be complex. However, by using various AWS services, you can quickly deploy a serverless solution to edit images.

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Generative AI Software Development AI AI 62

Marktechpost

OCTOBER 21, 2024

Proteins, vital macromolecules, are characterized by their amino acid sequences, which dictate their three-dimensional structures and functions in living organisms. Effective generative protein modeling requires a multimodal approach to simultaneously understand and generate sequences and structures. Current methods often rely on separate models for each modality, limiting their effectiveness.

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Inference Engine ML Machine Learning Artificial Intelligence 57

Extreme Tech

OCTOBER 21, 2024

This self-driving reconnaissance vehicle resembles a small Cybertruck.

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Marktechpost

OCTOBER 21, 2024

Accelerating inference in large language models (LLMs) is challenging due to their high computational and memory requirements, leading to significant financial and energy costs. Current solutions, such as sparsity, quantization, or pruning, often require specialized hardware or result in decreased model accuracy, making efficient deployment difficult.

Large Language Models 57

Large Language Models Inference Engine AI AI 57

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

Pickl AI

OCTOBER 21, 2024

Summary: Periodic and aperiodic chains are two types of Markov Chains. Periodic chains return to states at fixed intervals, limiting flexibility, while aperiodic chains allow for returns at irregular intervals. This distinction impacts modelling approaches, long-term behaviour, and applications across various fields, including finance, healthcare, and technology.

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Natural Language Processing Data Scientist Machine Learning Algorithm 52

ODSC - Open Data Science

OCTOBER 21, 2024

In the rapidly evolving world of AI and machine learning, ensuring ethical and responsible use has become a central concern for developers, organizations, and regulators. As AI systems become increasingly embedded in critical decision-making processes and in domains that are governed by a web of complex regulatory requirements, the need for responsible AI practices has never been more urgent.

Responsible AI 52

Responsible AI ML Data Scientist Machine Learning 52

Pickl AI

OCTOBER 21, 2024

Summary: Primary and secondary data serve distinct purposes in research. Primary data is collected firsthand for specific objectives, offering tailored insights, but it can be costly and time-consuming. In contrast, secondary data is pre-existing information that provides broader context but may lack specificity. Choosing wisely enhances research outcomes.

Data Quality 52

Data Quality Data Science 52