The rise of large language models (LLMs) has transformed natural language processing, but training these models comes with significant challenges.…
Machine Learning
The robotics and embodied AI field has long struggled with accessibility and efficiency issues. Creating realistic physical simulations requires extensive…
The evaluation of LLMs in medical tasks has traditionally relied on multiple-choice question benchmarks. However, these benchmarks are limited in…
Accelerating LLM inference is an important ML research problem, as auto-regressive token generation is computationally expensive and relatively slow, and…
Software has been a critical catalyst for economic growth over the past several decades, a phenomenon prominently articulated by Andreessen…
The integration of artificial intelligence into everyday life faces notable hurdles, particularly in multimodal understanding—the ability to process and analyze…
Artificial Intelligence (AI) is transforming how businesses operate, offering unprecedented efficiency, innovation, and customer satisfaction. By automating repetitive tasks, providing…
Customer service teams face significant challenges in today’s fast-paced business environment. They must handle a growing number of customer inquiries…
Enzymes are indispensable molecular catalysts that facilitate the biochemical processes vital to life. They play crucial roles across metabolism, industry,…
Generating all-atom protein structures is a significant challenge in de novo protein design. Current generative models have improved significantly for…
Many enterprise customers across various industries are looking to adopt Generative AI to drive innovation, user productivity, and enhance customer…
This post is co-written with Marta Cavalleri and Giovanni Germani from Fastweb, and Claudia Sacco and Andrea Policarpi from BIP…
Recently, AI agents have demonstrated very promising developments in automating mathematical theorem proving and code correctness verification using tools like…
Long-context LLMs enable advanced applications such as repository-level code analysis, long-document question-answering, and many-shot in-context learning by supporting extended context…
One of the crucial factors in achieving high-quality outputs from these models lies in the design of prompts—carefully crafted input…
Speech synthesis technology has made notable strides, yet challenges remain in delivering real-time, natural-sounding audio. Common obstacles include latency, pronunciation…
Teleoperation for robot imitation learning is bottlenecked by hardware availability. Can high-quality robot data be collected without a physical robot?…
A notable aspect of peripheral responses in the animal nervous system is localization, where the linear receptive fields of simple-cell…
In machine learning, reliable predictions and uncertainty quantification are critical for decision-making, particularly in safety-sensitive domains like healthcare. Model calibration…
Video and Image generation innovations are improving the quality of visuals and focusing on making AI models more responsive to…