Author: Advanced AI Bot
Singapore National Parks Board, Microsoft and Conservation International collaborate to create AI-powered mobile application that visually identifies shark and ray species Sharks and rays are in rapid decline. This joint innovation aims to combat a key driver of this decline; illegal wildlife trade Singapore, 8 June 2022 – The Singapore National Parks Board (NParks), Microsoft and Conservation International announced the launch of Fin Finder, Asia’s first mobile application that employs artificial intelligence (AI) to visually identify illegally traded shark and ray species. Through the tripartite collaboration, the mobile app was created by a Singapore-led team from Conservation International in consultation…
After initially rolling out ChatGPT’s image generation feature for free, OpenAI has recently implemented temporary rate limits due to overwhelming demand straining their GPU resources.I actually found a bug myself when trying out the new image generation feature. Despite using ChatGPT Plus, the images were generated with DALL-E, yet there was no indication that they were DALL-E images.CEO Sam Altman jokingly remarked that the company’s GPUs are “melting” under the load. OpenAI is working to enhance efficiency to manage the surge in requests and hopes these limitations will be short-lived.So, what’s a user to do if they want realistic images…
Marc Andreessen, the co-founder of venture capital firm Andreessen Horowitz (a16z), recently made a surprising revelation regarding artificial intelligence and older computing systems. Speaking at an event, he disclosed that a small Llama AI model was successfully run on a Dell PC from the Windows 98 era. The revelation has sparked discussions about whether human-like interactions with computers could have been achieved decades ago.Could Conversational AI Have Existed 30 Years Ago?Andreessen suggested that the technology necessary for natural, intelligent conversations with computers might have been within reach much earlier than previously thought. “All of those old PCs could literally have…
AnthropicLarge organizations wanting to integrate generative AI into their business can find the process daunting, especially if they’re unsure how or where to start. A new initiative with Anthropic’s Claude AI aims to provide the tools for enterprises struggling with this challenge.In a new five-year partnership announced Thursday, Anthropic and AI company Databricks will offer Claude AI models through the Databricks Data Intelligence Platform, which helps businesses use AI with their internal data. The deal will bring the tools and technology to more than 10,000 companies.Also: Navigating AI-powered cyber threats: 4 expert security tips for businessesAnthropic’s latest Claude 3.7 Sonnet…
Google has introduced version 2.5 of its Gemini AI model, which the company said offers a new level of performance by combining an enhanced base model with improved post-training. The Gemini 2.5 models are thinking models, capable of reasoning through their thoughts before responding, thus resulting in better performance and improved accuracy, said Koray Kavukcuoglu, CTO of Google DeepMind, in a March 25 blog post. The first Gemini 2.5 release is an experimental version of Gemini 2.5 Pro, which Kavukcuoglu said is state-of-the-art across a range of benchmarks that require advanced reasoning. Available now, Gemini 2.5 Pro Experimental demonstrates strong…
FILE PHOTO: ChatGPT was down for several users on Sunday due to a surge in demand for its Studio Ghibli-style image generation feature. | Photo Credit: Reuters ChatGPT, the popular AI chatbot developed by OpenAI, was down for several users on Sunday with its servers overwhelmed by a surge in demand for its new Studio Ghibli-style image generation feature. However, the developer soon updated saying all impacted services have been “fully recovered”. Reports of the outage began surfacing Saturday evening, leaving several users unable to access the service for a considerable period, but escalated on Sunday around 4 pm, with…
[Submitted on 18 Oct 2024 (v1), last revised 28 Mar 2025 (this version, v5)] View a PDF of the paper titled Do LLMs “know” internally when they follow instructions?, by Juyeon Heo and 7 other authors View PDF HTML (experimental) Abstract:Instruction-following is crucial for building AI agents with large language models (LLMs), as these models must adhere strictly to user-provided constraints and guidelines. However, LLMs often fail to follow even simple and clear instructions. To improve instruction-following behavior and prevent undesirable outputs, a deeper understanding of how LLMs’ internal states relate to these outcomes is required. In this work, we…
Innovation is the driving force behind retail success – but too often, eCommerce and tech teams find themselves stuck in daily operations instead of focusing on growth and new customer experiences. While digital commerce is evolving at lightning speed, many are bogged down by inefficient workflows, outdated systems, and time-consuming processes that leave little room for innovation. Instead of carving out new revenue streams or optimizing customer experiences, eCommerce teams spend too much time managing fragmented systems, troubleshooting inefficiencies, and navigating approval roadblocks. As complexity grows, so do delays, making it harder to move quickly, adapt to market changes, and…
Innovation is the driving force behind retail success – but too often, eCommerce and tech teams find themselves stuck in daily operations instead of focusing on growth and new customer experiences. While digital commerce is evolving at lightning speed, many are bogged down by inefficient workflows, outdated systems, and time-consuming processes that leave little room for innovation. Instead of carving out new revenue streams or optimizing customer experiences, eCommerce teams spend too much time managing fragmented systems, troubleshooting inefficiencies, and navigating approval roadblocks. As complexity grows, so do delays, making it harder to move quickly, adapt to market changes, and…
From forming muscle fibers to protecting us from disease, proteins play an essential role in almost all biological processes in humans and other life forms alike. There has been extraordinary progress in recent years toward better understanding protein structures using deep learning, enabling the accurate prediction of protein structures from their amino acid sequences. However, predicting a single protein structure from its amino acid sequence is like looking at a single frame of a movie—it offers only a snapshot of a highly flexible molecule. Biomolecular Emulator-1 (BioEmu-1) is a deep-learning model that provides scientists with a glimpse into the rich world of…