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AlphaFold is an AI system created by DeepMind that can predict the 3D structure of proteins with high accuracy by analyzing their amino acid sequences. It achieved this by training on a vast database of known protein structures and developing an understanding of the physical principles that determine how proteins fold. In a recent competition, AlphaFold dramatically outperformed other state-of-the-art methods and will help accelerate scientific research in areas such as disease research and sustainable energy.

AlphaFold: Using AI for scientific discovery | DeepMind
https://deepmind.com

The document discusses analytical chemist's objectives in studying objects and variables. It explains that objects are samples being analyzed, like solutions or molecules, while variables are measurements or features being observed, like wavelength, pH, or molecular descriptors. The goal is to represent objects in multivariate chemical spaces defined by variables, and use tools to understand relationships between objects. It also provides examples of instruments and the order of information they can obtain, from simple to more complex multivariate data.

Potential Energy Surface Molecular Mechanics ForceField Jahan B Ghasemi

This document provides an overview of potential energy surfaces (PES) in computational chemistry. It defines a PES as the relationship between a molecule's energy and its geometry. A PES is an n-dimensional surface that relates potential energy to n degrees of freedom in a molecule. Key points made include: 1) A PES allows visualization of how energy changes with molecular structure. Minima correspond to stable structures like reactants and products, while transition states are saddle points along the reaction coordinate. 2) Slices of multidimensional PES can be plotted against one or two geometric parameters to qualitatively represent the full hypersurface. 3) Stationary points on a PES satisfy dE/dq

Computer Aided Drug Design QSAR Related MethodsJahan B Ghasemi

This document discusses various quantitative structure-activity relationship (QSAR) modeling methods. It begins with an introduction to topics like data pre-processing, molecular descriptors, and multivariate analysis techniques. It then covers descriptor calculation, classes of descriptors, and dimensionality reduction. Statistical model building is discussed, including variable selection, object selection, and validation. Various modeling approaches like multiple linear regression, principal components analysis, and partial least squares are introduced. The document emphasizes that rigorous validation on external test sets is important for a successful QSAR model. The goals and applications of QSAR modeling in drug design are also summarized.

2024 Trend Updates: What Really Works In SEO & Content MarketingSearch Engine Journal

The document outlines key SEO and content marketing trends for 2024, emphasizing the impact of AI, the importance of E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), and a shift towards user-centric content strategies. It advises against focusing on outdated trends like voice search and stresses the need for creating value-driven, authoritative content. Additionally, it highlights the need to leverage AI as a supportive tool rather than relying solely on it for content creation.

Storytelling For The Web: Integrate Storytelling in your Design ProcessChiara Aliotta

The document outlines a livestream presentation by Chiara Aliotta on integrating storytelling into web design to enhance user experiences. It covers the storytelling process for designers, emphasizing aspects such as understanding the audience, structuring narratives, and creating emotional connections. The presentation also includes case studies and practical examples to demonstrate effective storytelling in UX/UI design.

Artificial Intelligence, Data and Competition – SCHREPEL – June 2024 OECD dis...OECD Directorate for Financial and Enterprise Affairs

This presentation by Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam University, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp. This presentation was uploaded with the author’s consent.

How to Leverage AI to Boost Employee Wellness - Lydia Di Francesco - SocialHR...SocialHRCamp

The document discusses leveraging AI to enhance employee wellness through data analytics, automating tasks, and personalized wellness apps, emphasizing the shared responsibility of employee well-being between leaders and organizations. It outlines best practices for using AI in wellness strategies, including ensuring data privacy and security, understanding employee needs, and promoting inclusivity. Lydia Di Francesco, a wellness specialist, shares insights to optimize workplace wellness strategy using AI-driven data analytics and encourages collaboration and transparency.

2024 State of Marketing Report – by HubspotMarius Sescu

The State of Marketing 2024 report highlights the transformative impact of AI and automation, emphasizing the importance of personalization and engagement to drive growth in a competitive landscape. Marketers are focusing on optimizing budgets, leveraging social media for brand awareness, and utilizing AI tools to enhance efficiency across tasks. Key trends for 2024 include the rise of experiential marketing, content creation that meets user needs, and strengthened connections through personalized customer experiences.

QUALITATIVE EXPLANATORY VARIABLES REGRESSION MODELSAmeya Patekar

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The way we build and scale companies today has changed forever because of cloud adoption. However, this flexibility introduces unpredictability, which often results in overspending, inefficiencies, and a lack of cost accountability. FinOps as a Service is a modern approach to cloud cost management that combines powerful tooling with expert advisory to bring financial visibility, governance, and optimization into the cloud operating model, without slowing down the engineering team. FinOps empowers the engineering team, finance, and leadership/management as they make data-informed decisions about cost, together. In this presentation, we will break down what FinOps is, why it matters more than ever, and a little about how a managed FinOps service can help organizations: - Optimize cloud spend - without slowing down dev - Create visibility into the cost per team, service, or feature - Set financial guardrails while allowing autonomy in engineering - Drive cultural alignment between finance, engineering, and product This will guide and help whether you are a cloud-native startup or a scaling enterprise, and convert cloud cost into a strategic advantage.

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Building Finance Innovation Ecosystems Umang Moondra, CEO at APIX apidays Singapore 2025 Where APIs Meet AI: Building Tomorrow's Intelligent Ecosystems April 15 & 16, 2025 ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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ChatGPT is an AI chatbot developed by OpenAI, built on advanced language models to facilitate human-like conversational interactions. Launched in November 2022, it utilizes a transformer architecture to understand and generate text, with applications ranging from content creation to customer service. Despite its capabilities, there are concerns about potential misuse and biases in its responses, which OpenAI aims to mitigate through moderation and user feedback.

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45. AlphaFold: Using AI for scientific discovery | DeepMind https://deepmind.com

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