TOP AI NEWS #4: SEPTEMBER 18TH, 2023

Google gives early Gemini AI access – Google has reportedly given a small group of companies early access to test its conversational AI system Gemini, aiming to rival OpenAI’s GPT-4.

ChatGPT competes with Google on diagnoses – Recent study from Emory University shows AI chatbots like ChatGPT can diagnose symptoms more accurately than online symptom checkers.

Morph Beta – An all-in-one data studio powered by AI, offering real-time collaboration.

Findcool.tools – Discover the coolest online tools curated by your favored builders.

Create your own AI art illusions – Step-by-step guide on how to create AI art illusions.

Sunak may limit China’s AI summit access – UK PM Rishi Sunak is considering banning Chinese officials from part of his big AI safety summit over growing spying fears.

Anthropic, BCG team up on enterprise AI – AI startup Anthropic is partnering with BCG to bring ChatGPT rival Claude-2 to the consulting giant’s clients.

Salesforce’s “Chain of Density” prompt aims to improve AI summaries by packing more info into fewer words – CoD involves iterative summary creation and revision, resulting in more abstract, coherent, and unbiased summaries compared to generic prompts.

New Google Deepmind Maps algorithm improves routing by up to 24 percent – This algorithm incorporates 360 million parameters and employs an “inverse reinforcement learning” (IRL) approach for better route suggestions.

AI Can Already Design Better Cities Than Humans, Study Shows – Researchers at Tsinghua University in China developed an AI system that outperformed human designs by 50% in terms of access to services, green spaces, and traffic levels.

Microscale internal combustion engine powers insect robot – This insect-sized robot, featured in Science, exhibits the ability to jump 59 centimeters vertically and carry a load 22 times its own weight while walking.

KBaseBot – Revolutionizes static content by effortlessly transforming it into dynamic chatbots.

Generative Image Dynamics – This research introduces a novel approach to modeling scene dynamics within image space. It leverages an AI-driven neural stochastic motion texture to predict long-term motion representations from individual images.

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts – A study conducted at Stanford University investigated the effectiveness of large language models (LLMs) in clinical summarization tasks.

Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation? – This research investigates the potential of Large Language Models (LLMs) as evaluators for scaling up multilingual evaluation.

Agents: An Open-source Framework for Autonomous Language Agents – The paper introduces a novel open-source library designed for creating autonomous language agents.