From Static Slides to Smart Speeches: The Rise of AI-Powered Presentations

In the age of information overload, capturing and keeping an audience’s attention is a challenge. Public speaking is undergoing a revolution, and at the forefront is artificial intelligence (AI). From crafting compelling content to analyzing delivery, AI is transforming the way we present information. This blog…

InstructIR: High-Quality Image Restoration Following Human Instructions

An image can convey a great deal, yet it may also be marred by various issues such as motion blur, haze, noise, and low dynamic range. These problems, commonly referred to as degradations in low-level computer vision, can arise from difficult environmental conditions like heat or…

UK and US sign pact to develop AI safety tests

The UK and US have signed a landmark agreement to collaborate on developing rigorous testing for advanced AI systems, representing a major step forward in ensuring their safe deployments. The Memorandum of Understanding – signed Monday by UK Technology Secretary Michelle Donelan and US Commerce Secretary…

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Recent advancements in Large Vision Language Models (LVLMs) have shown that scaling these frameworks significantly boosts performance across a variety of downstream tasks. LVLMs, including MiniGPT, LLaMA, and others, have achieved remarkable capabilities by incorporating visual projection layers and an image encoder into their architecture. By…

Brian Tolkin, Head of Product, at Opendoor – Interview Series

Brian Tolkin is the Head of Product at Opendoor,  an online company that buys and sells residential real estate. Headquartered in San Francisco, it makes instant cash offers on homes through an online process, makes repairs on the properties it purchases and relists them for sale….

Groundbreaking Biomimetic Olfactory Chips Use AI to Enable Robots to Smell

The development of artificial olfactory sensors has been a long-standing challenge for researchers worldwide. Creating electronic noses (e-noses) that can effectively discern complex odorant mixtures, similar to the biological olfactory system, has proven difficult due to issues with miniaturization and recognition capabilities. However, a research team…

RAFT – A Fine-Tuning and RAG Approach to Domain-Specific Question Answering

As the applications of large language models expand into specialized domains, the need for efficient and effective adaptation techniques becomes increasingly crucial. Enter RAFT (Retrieval Augmented Fine Tuning), a novel approach that combines the strengths of retrieval-augmented generation (RAG) and fine-tuning, tailored specifically for domain-specific question…