Browsing: AI & Robotics

Since the release of BERT in 2018, encoder-only transformer models have been widely used in natural language processing (NLP) applications…

Frida Polli, a neuroscientist, entrepreneur, investor, and inventor known for her leading-edge contributions at the crossroads of behavioral science and…

Software development presents numerous challenges, from debugging complex code to navigating legacy systems and adapting to rapidly evolving technologies. These…

At an early age, Katie Spivakovsky learned to study the world from different angles. Dinner-table conversations at her family’s home…

Multimodal large language models (MLLMs) are advancing rapidly, enabling machines to interpret and reason about textual and visual data simultaneously.…

Five MIT faculty members and two additional alumni were recently named to the 2024 cohort of AI2050 Fellows. The honor…

Neural networks have become foundational tools in computer vision, NLP, and many other fields, offering capabilities to model and predict…

If someone advises you to “know your limits,” they’re likely suggesting you do things like exercise in moderation. To a…

The ongoing advancement in artificial intelligence highlights a persistent challenge: balancing model size, efficiency, and performance. Larger models often deliver…

Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets they were…