Artificial Intelligence
Best AI Tools for Industries
Artificial Intelligence has become an essential part of various industries, providing companies with data-driven insights and personalized experiences for their customers. AI tools are quickly transforming business approaches and decision-making processes. In this article, we explore the best AI tools for various industries, including marketing, healthcare, finance, and more.
Upstream posts
Reinforcement Learning: How It Works
Reinforcement learning (RL) is one of the most popular machine learning paradigms. RL is indispensable for teaching machines how to operate in constantly changing environments, such as games, VR, or even the real world. In this article, we will explore the learning processes, key algorithms, and practical applications that make RL a transformative force in in ML.
How to Use GitHub Copilot
GitHub Copilot is one of the most popular AI assistants for writing code. Find out how to communicate your intent to GitHub Copilot properly and write code faster, avoiding unnecessary trials and errors. In this blog post, we explain how to make the most out of GitHub Copilot and even how to gain free access.
Top AI Conferences in Medtech 2024
AI in medtech effectively helps with medical diagnosis and treatment plan development, drug discovery, and gene modification. 86% of healthcare providers and life science companies were harnessing the power of artificial intelligence in their work already 5 years ago. Medtech conferences with a focus on AI have become essential platforms for collaboration, knowledge exchange, and the unveiling of developments. In this article, we will share top seven events not to miss if you work in the medtech or AI field.
AI Trends 2024
AI is increasingly reshaping the way we live and work. In 2024, technological advances will continue to impact all spheres of life, changing the world of software development, business patterns, and consumer habits. It will also keep raising questions about authenticity and calls for regulation. In this article, we explore key AI trends that are poised to redefine the technological landscape in 2024 based on the research conducted by three companies: Forrester, Gartner, and Bullhound.
How to Preprocess Data in Python
Before training a model, you have to preprocess data. This is necessary to transform raw data into clean data suitable for analysis. In this guide, we will cover essential steps to preprocess data using Python. These include splitting the dataset into training and validation sets, handling missing values, managing categorical features, and normalizing the dataset.
Backpropagation in Neural Networks
Backpropagation is a fundamental component of deep learning for neural networks. Its development has significantly contributed to the widespread adoption of deep learning algorithms since the early 2000s. In this post, we explore the essential concepts associated with this method, as well as its applications and history.
Editor’s pick
What Is LLaMA?
In 2023, generative artificial intelligence has become so hyped that every self-respecting Big Tech company is running to roll out their own technology. LLaMA 2 is a new open-source language model by Meta that can be seen as an opponent of ChatGPT. Releasing products that should become the “killers” of well-established products seems to be a recurring strategy of Mark Zucherberg lately. Will LLaMA have the same destiny as Threads, that has already been abandoned by most of its users? Let’s find out.
Upstream posts
What are AI Agents?
In a [recent interview to CBS Mornings, Dr Geoffrey Hinton, the "godfather of AI," shared his concerns about the state of artificial intelligence. The person who has built the first neural nets and dedicated much of his career to the study of artificial intelligence, is worried that AI might eventually become smarter than people, and what happens next is hard to predict.
Time Series Analysis in ML
The chronology of events, the ebb and flow of stock markets, the rhythm of the seasons—the world, as we know it, is rich with patterns and sequences that unfold over time. Time series analysis, which blends statistical and ML techniques, offers the means to analyze and interpret time-dependent datasets.
Federated Machine Learning: Revolutionizing Data Privacy
Federated machine learning is a new approach to machine learning that has gained a lot of attention in recent years. It has significant implications for data privacy and security, as it allows sensitive data to be kept on local devices rather than being shared with third-party servers.
Drug Repurposing With Graph Neural Networks
In modern healthcare and medicine, the quest for novel treatments and therapies is a perpetual challenge. Groundbreaking solutions can be discovered not only through innovation but also by uncovering hidden relationships within existing data. This is what Graph Neural Networks (GNNs) do. This cutting-edge fusion of graph theory and deep learning can transform drug repurposing—the process of finding new medical uses for already existing drugs.
Article by Gilles Madi
October 5th, 2023
12 min read
The Dark Side of ChatGPT
ChatGPT helps copywriters, marketers, lawyers, and other professionals to streamline their work and achieve higher productivity.
However, the chatbot can be used equally well for malicious purposes: from providing users with harmful information to writing malware. In this article, we want to talk about the dark side of ChatGPT and the ways in which it could be used but shouldn’t.
Which AI Tools to Use in 2023?
In 2023, AI tools are incredibly versatile, encouraging content creators, designers, programmers, and even business owners to use them to achieve their professional goals. Artificial intelligence tools help businesses and individuals to automate processes, make more informed decisions, and improve efficiency.