An Artificial Neuron Network (ANN), popularly known as Neural Network is a computational model based on the structure and functions of biological neural networks. It is like an artificial human nervous system for receiving, processing, and transmitting information in terms of Computer Science.

Basically, there are 3 different layers in a neural network :

Input Layer (All the inputs are fed in the model through this layer)

Hidden Layers (There can be more than one hidden layers which are used for processing the inputs received from the input layers)

Output Layer (The data after processing is made available at the output layer)

Graph data can be used with a lot of learning tasks contain a lot rich relation data among elements. For example, modeling physics system, predicting protein interface, and classifying diseases require that a model learns from graph inputs. Graph reasoning models can also be used for learning from non-structural data like texts and images and reasoning on extracted structures.

Microsoft is now fueling its AI ambitions with nuclear power, signing a 20-year deal with Constellation Energy.

AI uses a lot of energy, but nuclear is a promising, sustainable power source that could support the expansion of AI capabilities.

Evaluating fairness in ChatGPT

We've analyzed how ChatGPT responds to users based on their name, using language model research assistants to protect privacy.

Creating our models takes more than data—we also carefully design the training process to reduce harmful outputs and improve usefulness. Research has shown that language models can still sometimes absorb and repeat social biases from training data, such as gender or racial stereotypes.

In this study, we explored how subtle cues about a user's identity—like their name—can influence ChatGPT's responses. This matters because people use chatbots like ChatGPT in a variety of ways, from helping them draft a resume to asking for entertainment tips, which differ from the scenarios typically studied in AI fairness research.

While previous research has focused on third-person fairness, where institutions use AI to make decisions about others, this study examines first-person fairness, or how biases affect users directly in ChatGPT.

🚨 ChatGPT has a Windows app now

OpenAI is testing a ChatGPT app for Windows— but it’s only available to paid users for now. You can download an early version of the app from then Microsoft Store. Just like the Mac version of the app. ChatGPT on Windows lets you ask the AI-powered chatbot questions in a dedicated window that you can keep open alongside your apps. You can quickly access the app by using the Alt + Space shortcut.

It also lets you upload files and photos to ChatGPT and comes with access to a preview of OpenAI’s o1 model capable of “reasoning.” The app is still missing some capabilities, however, such as advanced voice mode. Shortly after OpenAI launched its ChatGPT app on Mac in June, a developer spotted a security, vulnerability that stored conversations in plain text. OpenAI has since fixed this issue and now encrypts locally stored data.

INSTAGRAM is instant MONEY!

10 ChatGPT / Gemini Prompts to grow and monetize on instagram.

(Just copy paste these prompts)

1. "Engaging Content Calendar"
Create a content calendar for the next 3 months for my Instagram account, [account_name], focused on [niche]. It should include a mix of [content_type] (e.g., Reels, posts, stories) with a variety of formats, like [examples]. Each post should be aligned with my target audience ([target_audience]) and their pain points, including [pain_points].

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How to enter into Data Science

👉Start with the basics: Learn programming languages like Python and R to master data analysis and machine learning techniques. Familiarize yourself with tools such as TensorFlow, sci-kit-learn, and Tableau to build a strong foundation.

👉Choose your target field: From healthcare to finance, marketing, and more, data scientists play a pivotal role in extracting valuable insights from data. You should choose which field you want to become a data scientist in and start learning more about it.

👉Build a portfolio: Start building small projects and add them to your portfolio. This will help you build credibility and showcase your skills.