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AI outperforms conventional weather forecasting for the first time: Google study

Arstechnica

Arstechnica · 1y ago

AI outperforms conventional weather forecasting for the first time: Google study

Google DeepMind's AI meteorology model called GraphCast has surpassed conventional weather forecasting methods in predicting global weather conditions up to 10 days in advance, as published in the peer-reviewed journal Science. The study shows that GraphCast outperformed the leading conventional system in 90% of metrics, demonstrating faster and more accurate results. The AI model, trained on historical weather data, utilizes a graph neural network architecture to generate forecasts quickly and with significantly lower energy consumption. However, limitations remain, and the researchers see the AI approach as a complement to traditional forecasting methods.

Related News

Indian government testing AI for better weather forecasts as floods, droughts increase

Economic Times

Economic Times · 1y ago

Indian government testing AI for better weather forecasts as floods, droughts increase

The Indian government is experimenting with artificial intelligence (AI) to enhance weather forecasting and build climate models. As extreme weather events, including torrential rains, floods, and droughts, become more frequent in India, accurate weather forecasting is crucial for the country with its large population and agricultural productivity. The India Meteorological Department (IMD) is utilizing AI and an expanded observation network to generate high-quality forecast data at a lower cost. AI models are expected to improve forecasts and public alerts for heatwaves and diseases. The government has established a center to explore the integration of AI into traditional forecasting models.

Google DeepMind’s AI Weather Forecaster Handily Beats a Global Standard

Wired · 1y ago

Google DeepMind’s AI Weather Forecaster Handily Beats a Global Standard

Google's DeepMind AI unit has developed GraphCast, an experimental software that accurately predicted Hurricane Lee's landfall in Nova Scotia, far from major population centers. The AI-powered weather model outperformed forecasts from the European Centre for Medium-Range Weather Forecasting (ECMWF) across 90% of atmospheric variables. DeepMind's model can be run on a laptop and generate a forecast in under a minute, while traditional models require a supercomputer. The AI weather model shows promise for more accurate and efficient predictions.

Google and US experts join on AI hurricane forecasts

Economic Times

Economic Times · 1m ago

Google and US experts join on AI hurricane forecasts

The National Hurricane Center in Miami is partnering with Google's DeepMind to enhance hurricane forecasting using AI models. This collaboration, the first of its kind for the center, aims to better predict storm paths and strengths, complementing human forecasters. DeepMind's AI, trained on extensive observational data, promises more accurate forecasts. Although still experimental, the AI's ability to improve disaster warnings reflects a significant advancement in weather prediction technology.

INSAT-3DS launch today: What does ISRO aim to achieve with this mission?

Economic Times

Economic Times · 1y ago

INSAT-3DS launch today: What does ISRO aim to achieve with this mission?

India's space agency, ISRO, is preparing to launch the INSAT-3DS meteorological satellite aboard the GSLV-F14 rocket. This mission aims to enhance India's weather forecasting and disaster management capabilities. The satellite will provide continuity of services for meteorological observations, weather forecasting, disaster warning, and satellite-aided search and rescue operations. The INSAT-3DS satellite is fully funded by the Ministry of Earth Sciences and will be deployed into a geostationary orbit after launch.

Perplexity’s growth upends SEO fears, reveals crack in Google’s dominance

Venturebeat

Venturebeat · 1y ago

Perplexity’s growth upends SEO fears, reveals crack in Google’s dominance

Perplexity, an AI-first search engine, is gaining traction in the market and challenging Google's dominance. A study by SEO platform BrightEdge found that Perplexity's referral traffic to brand websites has grown 40% monthly since January. The study also revealed that 60% of Perplexity's citations match the top 10 organic results on Google. However, despite Perplexity's growth, Google still remains the leader in search referral traffic. The study advises businesses to focus on optimizing for conversation rather than individual keywords and to ensure their sites have structured information for AI search engines.

These AI startups stood out the most in Y Combinator's Winter 2024 batch

TechCrunch · 1y ago

These AI startups stood out the most in Y Combinator's Winter 2024 batch

Y Combinator's Winter 2024 Demo Day showcased a strong presence of AI startups. The cohort of 86 AI startups nearly doubled from the previous year, reflecting the growing interest in artificial intelligence. Some notable startups include Hazel, which automates the government contracting process; Andy AI, an AI-powered scribe for at-home nurses; Precip, an AI-powered weather forecasting platform; Maia, an AI-powered guidance tool for couples; and Datacurve, a provider of expert-quality data for training generative AI models. These startups have the potential to make significant contributions in their respective industries.

Zomato Unveils ‘Weather Union’ To Open Source Real-Time Weather Data

Inc42 · 1y ago

Zomato Unveils ‘Weather Union’ To Open Source Real-Time Weather Data

Zomato, in collaboration with Centre for Atmospheric Sciences - IIT Delhi, has launched Weather Union, a network of over 650 on-ground weather stations. Zomato CEO, Deepinder Goyal, announced that this is India's first crowd-sourced weather infrastructure. The weather stations provide real-time information on temperature, humidity, wind speed, and rainfall. Zomato is open-sourcing this data for other companies and institutions to leverage for their needs. The weather stations use machine learning to optimize network operations and ensure continuous functionality in any weather condition. Zomato is also inviting volunteers to host weather stations on their premises.

Xovian Aerospace raises $2.5 Mn led by Piper Serica and TurboStart

Entrackr

Entrackr · 1d ago

Xovian Aerospace raises $2.5 Mn led by Piper Serica and TurboStart

Snippets Xovian Aerospace raises $2.5 Mn led by Piper Serica and TurboStart Spacetech startup Xovian Aerospace has raised $2.5 million in a pre-seed funding round led by Piper Serica and TurboStart, with participation from Inflection Point Ventures (IPV) and Eaglewings Ventures. The proceeds will be used to support the development of AI-native radio frequency (RF) satellite infrastructure and enable space trials planned by year-end. Xovian is building a constellation of RF nanosatellites that offer real-time signal intelligence by capturing and decoding dynamic signals unlike traditional satellites that rely solely on optical data. Its platform serves industries such as maritime, aviation, defence, oil & gas, and weather forecasting by providing continuous RF data fused with AI-powered decision intelligence. With pilot discussions underway in Southeast Asia and the Middle East, Xovian’s vertically integrated model offers low-latency, high-fidelity insights, claiming to generate up to six times more data value per dollar than conventional systems. According to data from intelligence platform TheKredible, more than a dozen spacetech startups have collectively raised around $21 million in 2025. The list includes names like OrbitAid, InspeCity, and Sisir Radar, among others.

Something unearthly could switch train signals from red to green

Gizmodo

Gizmodo · 1y ago

Something unearthly could switch train signals from red to green

Solar storms and extreme space weather could potentially disrupt train signals, causing delays or safety implications, according to a study published in the journal Space Weather. Researchers discovered that train track circuits are vulnerable to solar storms, with the signals at risk of reversing from red to green and vice versa. The study highlights the need to take space weather hazards seriously, as they pose a rare but significant risk to rail signaling systems. By better understanding space weather, it may be possible to mitigate the risks and make more informed decisions about railway operations during extreme events.

This Week in AI: Let us not forget the humble data annotator

TechCrunch · 1y ago

This Week in AI: Let us not forget the humble data annotator

Scale AI, a labeling and annotation startup, is reportedly looking to raise new funds at a valuation of $13 billion. Labeling and annotation platforms are vital for training AI models, as they help interpret and understand data during the training process. However, these platforms often exploit the workers who perform labeling and annotation tasks, paying low wages and providing poor working conditions. Policymaking is seen as a potential solution to regulate these practices. In other AI news, advancements have been made in weather forecasting, underwater image analysis, linear learning models (LLMs), and the ethical use of AI in search.

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