Category: CALIBRE

The Centre for Artificial Learning and Intelligence for Biological Research and Education (CALIBRE) was established jointly by ICTS and NCBS to advance interdisciplinary research at the interface of Artificial Intelligence and Biology.

CALIBRE aims to build a national hub for AI-driven biological research and education by leveraging the complementary expertise of ICTS and NCBS in theoretical sciences, computational methods, and biological systems.

The centre focuses on both “AI for Biology” and “Biology for AI.” This includes the development of AI tools for biological research, the use of machine learning in areas such as ecology, neuroscience, and public health, and the exploration of biologically inspired approaches to next-generation AI systems.

CALIBRE, Podcasts

In Conversation with Prof. Vijay Balasubramanian

Hosted by Dr. Sarthak Chandra, CALIBRE Faculty, ICTS-TIFR INTRODUCTION Prof. Vijay Balasubramanian visited the Centre for Artificial Learning and Intelligence for Biological Research and Education (CALIBRE) at ICTS-TIFR as the Asha Gupta Chair Professor. CALIBRE focuses on advancing research at the intersection of artificial intelligence, machine learning, physics, and biological systems, with an emphasis on understanding learning, inference, and complex information processing across domains. Prof. … Continue reading In Conversation with Prof. Vijay Balasubramanian

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Blogs, CALIBRE

Learning Like a Neural Network: Evidence for Vectorized Credit Assignment in the Brain

One of the central ideas behind modern artificial intelligence is surprisingly simple: different parts of a network should not all learn the same lesson. Artificial intelligence systems are built from networks of artificial neurons, loosely inspired by the brain. While the information flows forward through the network, it is transformed at each step until it produces an output such as a sentence, a prediction, or … Continue reading Learning Like a Neural Network: Evidence for Vectorized Credit Assignment in the Brain

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