The Future of AI
Six Nerdy AI Activities for the Long W/E. I’ve just read that lots of AI engineers in the US are running the rate race, feeling burnout. Here in the European AI scene things are innately a bit more relaxed. Aah… A long bank holiday in London; so much stuff to do in this amazing city! … Read more
Deep-learning models are being used in many fields, from health care diagnostics to financial forecasting. However, these models are so computationally intensive that they require the use of powerful cloud-based servers. This reliance on cloud computing poses significant security risks, particularly in areas like health care, where hospitals may be hesitant to use AI tools … Read more
As artificial intelligence (AI) systems become increasingly complex, understanding their inner workings is crucial for safety, fairness, and transparency. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have introduced an innovative solution called “MAIA” (Multimodal Automated Interpretability Agent), a system that automates the interpretability of neural networks. MAIA is designed to tackle the … Read more
Traditional (manual) underwriting processes often struggle to keep pace with the growing complexity of modern risk assessment, data collection, and policy management. 🧐 According to a McKinsey report, manual underwriting processes can increase operational costs by up to 40% and extend the underwriting cycle time by several days to weeks! Scaling traditional underwriting operations becomes … Read more
This post contains a list of the AI-related seminars that are scheduled to take place between 1 October and 30 November 2024. All events detailed here are free and open for anyone to attend virtually. 1 October 2024 Tokenized and Continuous Embedding Compressions of Protein Sequence and StructureSpeaker: Amy Lu (UC Berkeley)Organised by: ML Protein … Read more
Research Published 19 July 2024 Exploring AGI, the challenges of scaling and the future of multimodal generative AI Next week the artificial intelligence (AI) community will come together for the 2024 International Conference on Machine Learning (ICML). Running from July 21-27 in Vienna, Austria, the conference is an international platform for showcasing the latest advances, … Read more
Understanding multi-page documents and news videos is a common task in human daily life. To tackle such scenarios, Multimodal Large Language Models (MLLMs) should be equipped with the ability to understand multiple images with rich visually-situated text information. However, comprehending document images is more challenging than natural images, as it requires a more fine-grained perception … Read more
Simple next-token generation, the foundational technique of large language models (LLMs), is usually insufficient for tackling complex reasoning tasks. To address this limitation, various research teams have explored innovative methodologies aimed at enhancing the reasoning capabilities of LLMs. These enhancements are crucial for enabling these models to handle more intricate problems, thus significantly broadening their … Read more
As artificial intelligence (AI) adoption gathers pace, so does the complexity and range of its risks. Businesses are increasingly aware of these challenges, yet the roadmaps to solutions often remain shrouded in obscurity. If the question ‘How to navigate these risks?’ resonates with you, then this article will serve as a lighthouse in the fog. … Read more
Introduction In a bustling customer service center, Agent Carter’s attention was interrupted by a new support ticket chime. Amidst the noise of phones and keyboards, he focused on the case details with precision. However, as he delved into the complaint, an unsettling familiarity overcame him—a vague echo from the past. Agent Carter initiated a search … Read more