In recent years, contrastive language-image models such as CLIP have established themselves as a default choice for learning vision representations, particularly in multimodal applications like Visual Question Answering (VQA) and document understanding. These models leverage large-scale image-text pairs to incorporate…
OpenAI has officially announced the release of its image generation API, powered by the gpt-image-1 model. This launch brings the multimodal capabilities of ChatGPT into the hands of developers, enabling programmatic access to image generation—an essential step for building intelligent…
As multi-agent systems gain traction in real-world applications—from customer support automation to AI-native infrastructure—the need for a streamlined development interface has never been greater. Meet Rowboat, an open-source IDE designed to accelerate the construction, debugging, and deployment of multi-agent AI…
Pattie Maes, the Germeshausen Professor of Media Arts and Sciences at MIT and head of the Fluid Interfaces research group within the MIT Media Lab, has been awarded the 2025 ACM SIGCHI Lifetime Research Award. She will accept the award at CHI 2025…
Imagine a coffee company trying to optimize its supply chain. The company sources beans from three suppliers, roasts them at two facilities into either dark or light coffee, and then ships the roasted coffee to three retail locations. The suppliers…
In February 2024, Reddit struck a $60 million deal with Google to let the search giant use data on the platform to train its artificial intelligence models. Notably absent from the discussions were Reddit users, whose data were being sold.…
Renewable power sources have seen unprecedented levels of investment in recent years. But with political uncertainty clouding the future of subsidies for green energy, these technologies must begin to compete with fossil fuels on equal footing, said participants at the…
Due to the inherent ambiguity in medical images like X-rays, radiologists often use words like “may” or “likely” when describing the presence of a certain pathology, such as pneumonia. But do the words radiologists use to express their confidence level…
The process of discovering molecules that have the properties needed to create new medicines and materials is cumbersome and expensive, consuming vast computational resources and months of human labor to narrow down the enormous space of potential candidates. Large language…
Evaluating how well LLMs handle long contexts is essential, especially for retrieving specific, relevant information embedded in lengthy inputs. Many recent LLMs—such as Gemini-1.5, GPT-4, Claude-3.5, Qwen-2.5, and others—have pushed the boundaries of context length while striving to maintain strong…
