Artificial intelligence (AI) has come a long way in recent years, and one of the most exciting developments in this field is the rise of language models like ChatGPT. These models are designed to understand and generate human language, and they are becoming increasingly sophisticated, and capable of performing a wide range of tasks from language translation to content creation.…
AI and ML Advancements Continue reading on Becoming Human: Artificial Intelligence Magazine »
The National Academy of Sciences has elected 120 members and 23 international members, including five faculty members from MIT. Joshua Angrist, Gang Chen, Catherine Drennan, Dina Katabi, and Gregory Stephanopoulos were elected in recognition of their “distinguished and continuing achievements in original research.” Membership to the National Academy of Sciences is one of the highest honors a scientist can receive…
Words, data, and algorithms combine, An article about LLMs, so divine. A glimpse into a linguistic world, Where language machines are unfurled. It was a natural inclination to task a large language model (LLM) like CHATGPT with creating a poem that delves into the topic of large language models, and subsequently utilize said poem as an introductory piece for this…
In an effort to improve fairness or reduce backlogs, machine-learning models are sometimes designed to mimic human decision making, such as deciding whether social media posts violate toxic content policies. But researchers from MIT and elsewhere have found that these models often do not replicate human decisions about rule violations. If models are not trained with the right data, they…
Imagine sitting on a park bench, watching someone stroll by. While the scene may constantly change as the person walks, the human brain can transform that dynamic visual information into a more stable representation over time. This ability, known as perceptual straightening, helps us predict the walking person’s trajectory. Unlike humans, computer vision models don’t typically exhibit perceptual straightness, so…
Google’s annual developer conference returns to Mountain View’s Shoreline Amphitheater next week, and for the first time in four years, we’ll be returning along with it. The kickoff keynote is always jammed-packed full of information, debuting all of the different software projects the company has been working on for the past year. The event, which kicks off May 10 at…
Big ideas took the stage on Monday morning, ahead of the inauguration of MIT’s 18th president, Sally Kornbluth. As final preparations were underway on Killian Court for the afternoon’s ceremonies, members of the MIT community gathered to welcome Kornbluth with an academic symposium exploring the theme “Where Big Ideas Come From — and Why They Matter.” Held at MIT’s Samberg…
The concept of artificial intelligence (AI) has been around for decades, and the debate over whether AI could possess a soul has been a popular one. While the notion of AI having a soul may seem far-fetched, there are some compelling arguments that suggest it could be possible. One of the main arguments in favor of AI having a soul…
Introduction The robot revolution is here, and it’s taking over! Artificial intelligence is rapidly replacing human jobs, and it’s not slowing down anytime soon. It’s time to embrace the robot revolution and see how AI can help us do more with less. With its clever algorithms and advanced technology, AI is revolutionizing the way we work and live. From automating…
Introduction The evolution of chatbot technology is a fascinating journey that has taken us from the early days of simple rule-based bots to the sophisticated AI-powered bots of today. From the very beginning, chatbot technology has been driven by a passionate desire to create a more natural and intuitive way for humans to interact with computers. From its humble beginnings…
pixabay.com The multimodal model is an important concept in the field of artificial intelligence that refers to the integration of multiple modes of information or sensory data to facilitate human-like reasoning and decision-making. Traditionally, AI models have focused on processing information from a single modality, such as text, image, or speech. However, the multimodal model seeks to incorporate data from…
Designing great AI products — Personality and emotion The following post is an excerpt from my book ‘Designing Human-Centric AI Experiences’on applied UX design for Artificial intelligence. — Photo by Jason Leung on Unsplash We tend to anthropomorphize AI systems, i.e., we impute them with human-like qualities. Consumer demand for personality in AI dates back many decades in Hollywood and the video…
As artificial intelligence (AI) continues to advance and become more pervasive in our daily lives, it is crucial that we consider the ethical implications of its use. AI has the potential to transform industries, improve our quality of life, and solve some of the world’s most pressing problems. However, we must ensure that AI is developed and used responsibly to…
AI and Art Artificial Intelligence (AI) has transformed the way we live, work, and communicate, and it is now playing a significant role in the art world. Artists are increasingly exploring the creative potential of AI, using it to generate new forms of art that blur the boundaries between human and machine-generated art. In this article, we explore how AI…
Think of software as a self-sustaining unit capable of connecting seamlessly with the human mind, and your first thought is the virtual assistant. Voice command devices are the most prevailing breakthrough in Artificial Intelligence. This technology relies on location awareness and user input. To provide meaningful insights in response to queries, virtual assistants often depend on digital data pertaining to…
Part 2: Understanding Zero-Shot Learning with the CLIP model Photo by Lenin Estrada on Unsplash Since openAI first made the CLIP model available, it’s been a little over a year since this method of connecting images and caption texts was established. This enormous model was trained on 400 million (!) different pairs of images and captions that were found on…
Part 1: Understanding Zero-Shot Learning Image from Unsplash Despite deep learning’s revolutionary impact on computer vision, existing approaches are plagued by various significant problems. For example, traditional vision datasets are time-consuming and expensive to develop while only teaching a small subset of visual concepts. In this series, we will learn how to connect images and texts using a zero-shot classifier…
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