machine-learning

Imagine purchasing a robot to perform household tasks. This robot was built and trained in a factory on a certain set of tasks and has never seen the items in your home. When you ask it to pick up a mug from your kitchen table, it might not recognize your mug (perhaps because this mug is painted with an unusual …

Discovering new materials and drugs typically involves a manual, trial-and-error process that can take decades and cost millions of dollars. To streamline this process, scientists often use machine learning to predict molecular properties and narrow down the molecules they need to synthesize and test in the lab. Researchers from MIT and the MIT-Watson AI Lab have developed a new, unified …

Understanding artificial intelligence and how it relates to matters of national security has become a top priority for military and government leaders in recent years. A new three-day custom program entitled “Artificial Intelligence for National Security Leaders” — AI4NSL for short — aims to educate leaders who may not have a technical background on the basics of AI, machine learning, …

Chart captions that explain complex trends and patterns are important for improving a reader’s ability to comprehend and retain the data being presented. And for people with visual disabilities, the information in a caption often provides their only means of understanding the chart. But writing effective, detailed captions is a labor-intensive process. While autocaptioning techniques can alleviate this burden, they …

Computers possess two remarkable capabilities with respect to images: They can both identify them and generate them anew. Historically, these functions have stood separate, akin to the disparate acts of a chef who is good at creating dishes (generation), and a connoisseur who is good at tasting dishes (recognition). Yet, one can’t help but wonder: What would it take to …

https://www.analyticsvidhya.com/blog/2019/04/introduction-deep-q-learning-python/ Introduction: Reinforcement Learning (RL) is a fascinating field of Artificial Intelligence (AI) that enables machines to learn and make decisions through interaction with their environment. Training an RL agent involves a trial-and-error process where the agent learns from its actions and the subsequent rewards or penalties it receives. In this blog, we will explore the steps involved in training …

A robot manipulating objects while, say, working in a kitchen, will benefit from understanding which items are composed of the same materials. With this knowledge, the robot would know to exert a similar amount of force whether it picks up a small pat of butter from a shadowy corner of the counter or an entire stick from inside the brightly …

If you've ever played soccer with a robot, it's a familiar feeling. Sun glistens down on your face as the smell of grass permeates the air. You look around. A four-legged robot is hustling toward you, dribbling with determination. While the bot doesn’t display a Lionel Messi-like level of ability, it's an impressive in-the-wild dribbling system nonetheless. Researchers from MIT's …

Each year, MIT’s School of Engineering gives the Junior Bose Award to a junior faculty member who has made outstanding contributions as an educator. The award is given to a member of faculty who is up for promotion from assistant professor to associate professor without tenure. The 2023 Junior Bose Award has been given to two outstanding educators: Jacob Andreas, …

The advent of generative artificial intelligence models like ChatGPT has prompted renewed calls for AI in health care, and its support base only appears to be broadening. The second annual MIT-MGB AI Cures Conference, hosted on April 24 by the Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic), saw its attendance nearly double this year, with over …

In the vast, expansive skies where birds once ruled supreme, a new crop of aviators is taking flight. These pioneers of the air are not living creatures, but rather a product of deliberate innovation: drones. But these aren’t your typical flying bots, humming around like mechanical bees. Rather, they’re avian-inspired marvels that soar through the sky, guided by liquid neural …

The emergence of generative artificial intelligence has ignited a deep philosophical exploration into the nature of consciousness, creativity, and authorship. As we bear witness to new advances in the field, it’s increasingly apparent that these synthetic agents possess a remarkable capacity to create, iterate, and challenge our traditional notions of intelligence. But what does it really mean for an AI …

Machine learning operations, or MLOps, are the set of practices and tools that aim to streamline and automate the machine learning lifecycle. It covers everything from data preparation and model training to deployment, monitoring, and maintenance. MLOps projects are becoming increasingly popular as companies seek to leverage the power of AI to gain a competitive edge. Empowering Startups and Entrepreneurs …

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 »

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 …

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 …