AI

Research that crosses the traditional boundaries of academic disciplines, and boundaries between academia, industry, and government, is increasingly widespread, and has sometimes led to the spawning of significant new disciplines. But Munther Dahleh, a professor of electrical engineering and computer science at MIT, says that such multidisciplinary and interdisciplinary work often suffers from a number […]

AI agents are transforming the landscape of customer support by bridging the gap between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to revolutionize customer service across industries, ushering in a new era of human-AI collaboration and problem-solving. By harnessing the power of LLMs and integrating them with specialized tools

As organizations embrace generative AI, they face critical challenges in making sure their applications align with their designed safeguards. Although foundation models (FMs) offer powerful capabilities, they can also introduce unique risks, such as generating harmful content, exposing sensitive information, being vulnerable to prompt injection attacks, and returning model hallucinations. Amazon Bedrock Guardrails has helped

Customers are increasingly using generative AI to enhance efficiency, personalize experiences, and drive innovation across various industries. For instance, generative AI can be used to perform text summarization, facilitate personalized marketing strategies, create business-critical chat-based assistants, and so on. However, as generative AI adoption grows, associated costs can escalate in several areas including cost in

E.ON—headquartered in Essen, Germany—is one of Europe’s largest energy companies, with over 72,000 employees serving more than 50 million customers across 15 countries. As a leading provider of energy networks and customer solutions, E.ON focuses on accelerating the energy transition across Europe. A key part of this mission involves the Smart Energy Solutions division, which

Suppose you were shown that an artificial intelligence tool offers accurate predictions about some stocks you own. How would you feel about using it? Now, suppose you are applying for a job at a company where the HR department uses an AI system to screen resumes. Would you be comfortable with that? A new study

Apple took a measured approach to AI at WWDC. A new research paper suggests the company is skeptical about some recent AI advances, too.

An autonomous drone carrying water to help extinguish a wildfire in the Sierra Nevada might encounter swirling Santa Ana winds that threaten to push it off course. Rapidly adapting to these unknown disturbances inflight presents an enormous challenge for the drone’s flight control system. To help such a drone stay on target, MIT researchers developed a

Will the perfect storm of potentially life-changing, artificial intelligence-driven health care and the desire to increase profits through subscription models alienate vulnerable patients? For the third year in a row, MIT’s Envisioning the Future of Computing Prize asked students to describe, in 3,000 words or fewer, how advancements in computing could shape human society for the better

Data should drive every decision a modern business makes. But most businesses have a massive blind spot: They don’t know what’s happening in their visual data. Coactive is working to change that. The company, founded by Cody Coleman ’13, MEng ’15 and William Gaviria Rojas ’13, has created an artificial intelligence-powered platform that can make sense