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Tome work for people taht need a quick presentation or image created by IA

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features: predict properties such as bioactivity, toxicity, solubility, melting points, atomization energies, HOMO/LUMO molecular orbital energies, and many other kinds of properties.

advancements: prediction of molecular properties.

Applications: Drug Discovery, Data Analysis and Visualization, Personalized Medicine, Reaction Prediction

It's a useful tool for chemical engineers, it helps them work faster and more precise.

Ximena Mendizábal

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This AI tool generates movie recomendations based on the description you write down. The description doesn't have to be specific, it could be something like "autumnal vibes with a strong female lead".

The movies it suggest come with a summary of the plot of the movie and the resons why its recomended.

I choose this AI tool because sometimes I don't know what to watch or I'm not sure how to describe the movies I want.

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Is an artificial intelligence, which is a program that make you database, when you write a name, it appears the name that you put on. It works for jobs and helps to make much easier the search of database from people, things, names, etc.

It helps for design and make new things, for example the case of Python, which is interesting to know about that this AI help for make codes too.

Why I choose this AI? In these times, is very hard to program, but we have different tools to use.

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Presentación (16:9) Presentación ejecutiva geométrico Azul

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the contributions of AI in fashion Gaby Contreras

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AI tool: DeepMind's AlphaFold.

Features:

1. Protein Folding Prediction: AlphaFold is renowned for its ability to predict the 3D structure of proteins accurately, which is crucial for understanding biological processes and developing new drugs.

2. Deep Learning Architecture: It employs a deep neural network architecture to analyze the complex relationships between amino acid sequences and protein structures.

3. Attention Mechanisms: The model utilizes attention mechanisms to focus on relevant parts of the input data, allowing it to capture long-range dependencies in protein structures.

4. Genomic Understanding: AlphaFold contributes to advancing our understanding of genomics by predicting how genes translate into three-dimensional structures, aiding in the study of genetic diseases.

5. Structure Database Creation: It can be used to predict protein structures for a wide range of organisms, contributing to the creation of comprehensive protein structure databases.

Applications:

1. Drug Discovery: AlphaFold accelerates drug discovery by providing insights into protein structures, enabling the design of more effective pharmaceuticals.

2. Biological Research: It aids biologists and researchers in understanding the structure-function relationship of proteins, facilitating breakthroughs in various biological fields.

3. Disease Understanding: By predicting protein structures, AlphaFold contributes to understanding the molecular basis of diseases, potentially leading to innovative therapeutic interventions.

4. Enzyme Engineering: The tool is valuable in engineering enzymes with specific functions, opening avenues for industrial applications and sustainable practices.

Advancements:

1. AlphaFold2: A significant advancement was the release of AlphaFold2, an improved version that outperformed previous methods in the Critical Assessment of Structure Prediction (CASP) competition.

2. Open-Source Collaboration: DeepMind has been actively collaborating with the scientific community, making some of its tools and models open-source to encourage broader research and development.

3. Multi-Task Learning: Ongoing advancements include exploring multi-task learning approaches to enhance AlphaFold's capabilities in predicting various aspects of protein biology.

Visual Representation Ideas:

1. Molecular Visualization: Create visually stunning representations of protein structures predicted by AlphaFold, using 3D models or artistic renderings.

2. Comparison Infographics: Develop infographics comparing AlphaFold's predictions with traditional methods, emphasizing its accuracy and efficiency.

3. Drug Discovery Pipeline: Illustrate the process of how AlphaFold contributes to drug discovery, from predicting protein structures to designing targeted pharmaceuticals.

4. CASP Competition Results: Showcase AlphaFold's performance in the CASP competition through a timeline or comparison chart, highlighting its advancements over time.

5. Collaboration Network: Visualize the collaborative network formed by DeepMind with other research institutions, indicating the impact of shared knowledge and resources.

Remember to use visuals that simplify complex concepts for a broader audience and convey the significance of AlphaFold's contributions to the scientific community.

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Siri Features:

Good things: Conversational interaction: Siri allows users to interact with their devices using natural voice commands. Broad Integration: Integrates with various applications and services to provide information and perform specific actions. Everyday Functions: You can perform everyday tasks like sending messages, making calls, setting reminders, and more. Voice Recognition: Siri has strong voice recognition and can understand various accents and dialects. Bad things: Limitations on Complexity: Sometimes Siri may have difficulty understanding complex commands or detailed questions. Reliance on Internet connection: Some Siri features require an Internet connection, which may limit its usefulness in offline environments. Less Personalization: Compared to some assistants, Siri may offer fewer customization options to suit individual preferences. A future: Improved Intelligence: Siri is expected to get better at understanding complex contexts and responding more intelligently. More Integration: There may be greater integration with devices and services, allowing for more complete control of the Apple ecosystem. Focus on Privacy: A greater emphasis on privacy is anticipated, with developments that balance utility with the protection of sensitive data. In the future, Siri and similar assistants could evolve into more engaging personal assistants, capable of anticipating user needs and providing more proactive assistance in various areas of daily life.

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features: Used to predict properties such as bioactivity, toxicity, solubility, melting points, atomization energies, HOMO/LUMO molecular orbital energies and many other kinds of properties.

applications:

1. Drug Discovery

2. Material Design

3. Predictive Modeling

4. Reaction Optimization

5. Chemoinformatics

advancements:

Is the prediction of molecular properties

Its a a useful tool for chemical engineers, its helps them work faster and more precise.

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Prisma is a photo editing application that uses artificial intelligence (AI) to transform images artistically, drawing inspiration from styles of famous paintings. Its AI functions apply filters to photos to give them a painterly look, similar to works by renowned artists like Van Gogh or Picasso. The application employs convolutional neural networks to perform these transformations, allowing users to turn their photos into unique artistic pieces with just a few clicks. Additionally, Prisma offers options to adjust the intensity of the effect and choose from a variety of artistic styles.

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Chat GPT is an AI devleoped by open AI to deliver information and have the first "advanced" AI in recent years. Open AI has gotten the most funding and money from this tool alone.

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Chat GPT has a lot of features included with their GPT-4 Model. They can create images with another tool named Dall-E that generates them by being trained. GPT 4 has the most records of knowledge being updated every month.

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Chat-GPT describing its feature (GPT-3.5)

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Chat GPT has the most features out of any AI out there including creative writing, natural language comprehesion, code comprehension, context understanding, and coding understanding.

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AI has been very capable of writing code and more companies to adopt AI's to make writing code easier, one of the largest companies to do this is Apple

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AI TOOLS - Advancements and Conclusions (Jose Flores)

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AI TOOLS - Advancements and Conclusions (Jose Flores)

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AI has made it easier and more efficient to work and has proven as a tool that WILL last against time. In conclusion Chat-GPT and more AI tools are paving a new path toward our advancements and future as a nation.

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Copy.Ai is an AI that allows us to search for summarized information to carry out our essays, summaries, etc. It is compiled by searching among different sources, therefore it is free of plagiarism.

I chose it because it helped me in times of rapid investigations last year, therefore I consider it recommendable.

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Certainly! Machine Learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and models that enable computers to learn from data. The fundamental idea behind machine learning is to allow computers to automatically improve their performance on a specific task through experience (data) without being explicitly programmed. Here are some key aspects of machine learning:

1. ypes of Machine Learning:

Supervised Learning: The algorithm is trained on a labeled dataset, where the input data is paired with corresponding output labels. The goal is to learn a mapping from inputs to outputs.

Unsupervised Learning: The algorithm is given unlabeled data and must find patterns or structures on its own. Common tasks include clustering and dimensionality reduction.

Reinforcement Learning: An agent learns to make decisions by interacting with an environment. It receives feedback in the form of rewards or penalties, and its goal is to learn a strategy that maximizes cumulative reward.

2. Training Data:

In supervised learning, the training data consists of input-output pairs.

In unsupervised learning, the training data contains only input data without corresponding output labels.

In reinforcement learning, the training data includes experiences and associated rewards.

3. Features and Labels:

Features: The input variables or attributes that the machine learning model uses to make predictions or decisions.

Labels: The output or target variable in supervised learning. It represents the desired outcome that the model aims to predict.

4. Algorithms and Models:

Machine learning algorithms are the set of rules and procedures that the model follows to learn patterns from the training data.

The model is the learned representation of the patterns in the data and is used to make predictions on new, unseen data.

5. Applications of Machine Learning:

Machine learning has diverse applications, including:

Image and Speech Recognition: Identifying patterns in visual or auditory data.

Natural Language Processing (NLP): Understanding and generating human language.

Recommendation Systems: Suggesting items or content based on user preferences.

Predictive Analytics: Making predictions or classifications in various domains (e.g., finance, healthcare). Machine learning is a rapidly evolving field with ongoing research and advancements, and its applications continue to grow across industries, contributing to innovations in technology and decision-making processes.

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¿Qué son Los Androides? Son robots que imitan a los humanos en todos sus apartados desde la forma de caminar hasta la forma de hablar. 

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¿Qué son Los Androides? Son robots que imitan a los humanos en todos sus apartados desde la forma de caminar hasta la forma de hablar. 

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Los androides no pueden sentir emociones, por que, básicamente son máquinas y esta científicamente comprobado que Los Androides no estan diseñador para tener sentimientos.

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¿Cuáles son las características, las aplicaciones y avances de los androides? 

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¿Cuáles son las características, las aplicaciones y avances de los androides? 

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Tienen la apariencia de un ser humano, simulan ser uno de nosotros y se comportan como nosotros. Les recomiendo usar App Inventor para crear aplicaciones para Android o Tables. Hoy en día, Los Androides son super inteligentes y y pueden comunicarse fácilmente con nosotros los seres humanos.

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Según Cientificos, este es el androide mas avanzado de toda la historia de la humanidad. 

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Según Cientificos, este es el androide mas avanzado de toda la historia de la humanidad. 

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Se mira genial ¿Verdad? y debemos reconocer que la tecnología ha avanzado en estas últimas décadas.

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The GPT language model can analyze large data sets and extract relevant information quickly and accurately, allowing data engineers to focus on more valuable tasks. Generate reports and data summaries more efficiently.

Produce high-quality writing.

It can generate erroneous information.

Understand complex instructions.

The GPT Chat is used by the student body as a source of information. Using this tool in classes has many advantages; However, it also has disadvantages such as plagiarism or ease when researching, limiting critical thinking.

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MindGrasp.ai stands as a benchmark in the field of artificial intelligence, renowned for its user-centric approach and customized solutions in machine learning and natural language processing. Its reputation is built on the ability to provide advanced tools that enable businesses to harness the full potential of AI to drive innovation and enhance operational efficiency. From the intuitive interface to customization features, every aspect of the platform is designed to meet the specific needs of each client, fostering close collaboration and significant business impact.

With a focus on excellence and customer satisfaction, MindGrasp.ai is distinguished by its commitment to data security and privacy. It implements rigorous security protocols and encryption to protect clients' confidential information, instilling trust and peace of mind in those who rely on its platform. Additionally, its team of artificial intelligence experts and software developers is constantly innovating and adapting to market needs, ensuring that the solutions offered are always at the forefront of technology.

In summary, MindGrasp.ai is not just an artificial intelligence platform but a strategic partner for companies looking to enhance their competitiveness in an increasingly digital business environment. With its user-centric approach, advanced technology, and commitment to data security, MindGrasp.ai delivers solutions that drive innovation, efficiency, and business success.

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Sara Porres

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Technology in Education Technology Presentation in Blue Peach Illustrative Style

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Gemini is a factual language model from Google AI. It is trained on a massive dataset of text and code, allowing it to generate text, translate languages, write creative content, and answer questions in an informative way.

Gemini is still under development, but it can already perform many tasks, such as following instructions, completing requests, answering open-ended questions, and generating different creative text formats.

Gemini is learning and improving constantly.