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Downscaling a Satellite Thermal Image from 1000 m to 10 m (Python) – Towards Data Science
Thermal sharpening of Sentinel-3 images: From 1 Km to 10m using Python in Google Colab 13 min read Downscaling the thermal imagery captured by satellites has been extensively studied due to the tradeoff between the spatial and temporal resolution of satellites that provide thermal images. For example, the revisit cycle of Landsat-8 is 16 days, with an original thermal resolution of 100 meters. In contrast, Sentinel-3 can provide daily thermal images, but at a spatial resolution of 1000 meters.
AI Engineer Salary: The Lucrative World of AI Engineering – Simplilearn
A few decades ago, the term Artificial Intelligence was reserved for scientific circles and tech-enthusiasts who wanted to sound cool. But, ever since its coining in 1955, AI has only grown in popularity.
NVIDIA and HP Speed Up Data Science and AI on PCs – Analytics Insight
NVIDIA and HP Inc. have announced the integration of NVIDIA CUDA-X data processing libraries with HP AI workstation solutions. This will accelerate data preparation and processing for generative AI development
Seeing Our Reflection in LLMs. When LLMs give us outputs that reveal | by Stephanie Kirmer | Mar, 2024 – Towards Data Science
Photo by Vince Fleming on Unsplash By now, Im sure most of you have heard the news about Googles new LLM*, Gemini, generating pictures of racially diverse people in Nazi uniforms. This little news blip reminded me of something that Ive been meaning to discuss, which is when models have blind spots, so we apply expert rules to the predictions they generate to avoid returning something wildly outlandish to the user. This sort of thing is not that uncommon in machine learning, in my experience, especially when you have flawed or limited training data.
Structure and Relationships: Graph Neural Networks and a Pytorch Implementation – Towards Data Science
Lets implement a regression example where the aim is to train a network to predict the value of a node given the value of all other nodes i.e.
Ethereum Recovers From Dip: ETH Hits $3900 For The First Time In Two Years – TradingView
After Bitcoin (BTC) recorded a new all-time high (ATH), Ethereum (ETH) rallied above $3,800 before the price crashed over 10%. The second-largest cryptocurrency has recovered from the dip and reached $3,900 momentarily for the first time in over two years. Ethereum Recovers And Rallies to $3,900 On Thursday, Bitcoin reached a crucial milestone after breaking above $69,000 and recording a new all-time high (ATH).
3 reasons why Ethereum (ETH) price could hit $4K in the short-term – Cointelegraph
Ether (ETH) rallied to a new year-to-date high of $3,822 on March 5 after rallying 8% over the last 24 hours.
‘The Polyverse Testnet’ is live, bringing IBC to Ethereum – Blockworks
Polymer, an Ethereum rollup that is hoping to become Ethereums interoperability hub, has launched the Polyverse Testnet, becoming the latest team hoping to tackle blockchain interoperability. The testnet will be launched in three phases dubbed Basecamp, Into the Unknown and Discovery
Ethereum Posts New 2024 High As Bitcoin Rebounds From Violent Pullback – The Defiant – DeFi News
ETH rallied to $3,900 while BTC bounced back to $67,370.
Ethereum is set to outperform Bitcoin as the spot ETH ETF narrative comes into play, analysts say – crypto.news
Analysts at QCP Capital note that despite Bitcoins quick drop to $59,000, funding is back to sensible levels and the more likely scenario is the outperformance of the ETH/BTC pair. In a volatile overnight session, Bitcoin (BTC) quickly set a new all-time high of $69,400 only to undergo a rapid decline, plummeting to $59,200 within a matter of a few hours.