According to the latest forecast from research firm IDC, global spending on artificial intelligence (AI) technologies is expected to reach $337 billion by 2025, and this figure is projected to double to $749 billion by 2028. As IT leaders across industries continue to drive the implementation of AI strategies, future application scenarios will be increasingly diverse. Image source credit: Image generated by AI, image provided by licensing service provider Midjourney. In line with this trend, more and more companies are starting to experiment with generative AI.

IBM and the United Nations Development Programme (UNDP) recently announced the launch of two groundbreaking free AI interaction models designed to predict global energy access and simulate energy equity. This collaboration marks a significant step forward in employing artificial intelligence technology to address global energy challenges. The newly introduced power access prediction model utilizes AI technology to analyze population, urbanization, infrastructure, and satellite data to provide power access predictions for 102 countries up to 2030. Meanwhile, the Clean Energy Equity Index, as a pioneering index, employs AI to gauge...

ChatGPT 5 is the latest version of ChatGPT, based on the GPT-5 AI model, aimed at improving the capabilities of GPT-4 by providing more personalized and accurate responses to enhance human-computer interaction and handle a wider range of content, possibly including video. It is expected to be released in Fall 2024. New features may include autonomous AI agents that perform tasks without human supervision, multimodal capabilities to process text, image, and video inputs, and improved speech generation technology. The increase in training data aims to enhance the model's performance in specialized fields and complex scenarios.

AlphaSeq, launched by A-Alpha Bio, has broken the limitations of protein-protein interaction (PPI) prediction, becoming the world's largest PPI dataset with over 750 million measurement results. It contrasts the success of AlphaFold in protein structure prediction and excels particularly in PPI prediction, simplifying the process through innovative methods. The experimental platform of AlphaSeq efficiently measures the binding affinities of millions of PPIs, accelerating the pace of protein research. With expertise in computational biology...

NVIDIA's research team developed the "StormCast" AI model, which predicts thunderstorm weather with a precision of several kilometers, significantly enhancing meteorological forecasting accuracy and comprehensiveness. The model combines generative modeling and multi-layer atmospheric state technology, mimicking the HRRR model, and updates predictions hourly, accurately forecasting light, moderate, and heavy rainfall probabilities, with a focus on....

Zhejiang University and the University of Texas developed an AI algorithm that accurately predicts earthquakes in China, forecasting 14 quakes within a 300 km range a week in advance with a 70% accuracy rate, including intensity calculations. This breakthrough offers new hope for earthquake warning and disaster response. While global application of the algorithm remains uncertain, scientists are optimistic about improving prediction accuracy and ....

Meta has taken a significant step towards improving the efficiency of artificial intelligence. The tech giant released a pre-trained model this Wednesday, utilizing a novel multi-token prediction method (multi-token-prediction) that could potentially change the way large language models (LLMs) are developed and deployed.Project Entry: https://top.aibase.com/tool/multi-token-prediction This new technology was first proposed in a research paper by Meta in April this year, differs from the traditio

ChinaZ.com (SiteOwner's Home) July 1st News: Recently, the Baidu Pan Disk's One Second Photo Album App introduced an innovative feature called AI Physical Appearance Prediction, which can forecast a baby's future look. Users only need to upload a photo, and within a minute, they can obtain a high-definition predicted image. Baidu Pan Disk has trained the prediction results more closely aligned with the characteristics of Chinese babies using a large amount of customized public data. The steps to

The research team at UC Berkeley developed a language model system that approaches human-level prediction capabilities. The system automates key prediction processes using large-scale data and the rapid processing abilities of language models. The study shows an average Brier score of 0.179, indicating potential for increased prediction accuracy and efficiency. This research provides strong evidence for integrating language models into the prediction field.

The Huawei Cloud Pangu Meteorological Model has been selected as one of the Top Ten Scientific Advances in China 2023. The Huawei Cloud team utilized artificial intelligence technology to develop a 3D neural network capable of accurately conducting mid-term weather forecasts, supporting global meteorological predictions at the second level.