engblogs

Exploring the use of a deep-learning model inspired by developmental psychology to improve AI systems' understanding of intuitive physics

Analyzing the effectiveness of policy gradient methods in cooperative multi-agent reinforcement learning (MARL) and demonstrating how they can outperform value decomposition methods in certain scenarios, such as environments with highly multi-modal reward landscapes, with proper input representation and hyper-parameter tuning.

Understanding and navigating the SOC2 certification process and its importance in ensuring security and compliance for startups and companies.

Building inclusive TV experiences for Deaf and Hard of Hearing users in Japan using AI-Mimi.

A proof-of-concept demonstration using deep reinforcement learning to train AI systems that align with human values in economic policies.

Applying deep reinforcement learning to find economic policies that align with human values by majority vote.

The blogpost discusses the structure of serverless services and what the term 'serverless' means, as well as walks through the design and implications of a popular serverless platform on the Internet.

Attaining XGBoost-level performance with the interpretability and speed of CART using FIGS (Fast Interpretable Greedy-tree Sums), a method for building interpretable models by simultaneously growing an ensemble of decision trees in competition with one another.

Exploring strategies to improve pre-training efficiency for advanced AI model DALL·E 2

Mitigations implemented to reduce risks associated with powerful image generation models.

Enhancing Minecraft gameplay through Video PreTraining techniques.

Leading a movement to strengthen machine learning in Africa: Avishkar Bhoopchand, a research engineer, shares his journey to DeepMind and his involvement in the Deep Learning Indaba to raise the profile of deep learning across Africa.