A man mourns the loss of his dead celebrity mom, who unexpectedly appears before him as a hologram in his childhood home, singing and strumming a guitar.A man mourns the loss of his dead celebrity mom, who unexpectedly appears before him as a hologram in his childhood home, singing and strumming a guitar.Business[#item_full_content]
Time To Update Your Priors: Natural Gas Is Expensive
The post Time To Update Your Priors: Natural Gas Is Expensive appeared first on Energy Innovation.
Natural gas faces upward cost pressure on two fronts, as gas plants are more expensive to build and the fuel itself is rising in price.
The post Time To Update Your Priors: Natural Gas Is Expensive appeared first on Energy Innovation.[#item_full_content]
The humble pocket calculator may not be able to keep up with the mathematical capabilities of new technology, but it will never hallucinate.The humble pocket calculator may not be able to keep up with the mathematical capabilities of new technology, but it will never hallucinate.Consumer & Gadgets[#item_full_content]
Modern neural networks, with billions of parameters, are so overparameterized that they can “overfit” even random, structureless data. Yet when trained on datasets with structure, they learn the underlying features.Modern neural networks, with billions of parameters, are so overparameterized that they can “overfit” even random, structureless data. Yet when trained on datasets with structure, they learn the underlying features.Computer Sciences[#item_full_content]
Modern neural networks, with billions of parameters, are so overparameterized that they can “overfit” even random, structureless data. Yet when trained on datasets with structure, they learn the underlying features.Modern neural networks, with billions of parameters, are so overparameterized that they can “overfit” even random, structureless data. Yet when trained on datasets with structure, they learn the underlying features.[#item_full_content]
On Dec. 4, the Chicago Tribune filed a copyright infringement lawsuit in New York federal court against Perplexity AI, alleging the California-based startup has been unlawfully profiting off the newspaper’s content in building its AI-driven search engine.On Dec. 4, the Chicago Tribune filed a copyright infringement lawsuit in New York federal court against Perplexity AI, alleging the California-based startup has been unlawfully profiting off the newspaper’s content in building its AI-driven search engine.Business[#item_full_content]
Adopting digital twin technology to manage the power consumption of idle devices could save organizations thousands of pounds a year and help reduce their carbon footprint, new research suggests.Adopting digital twin technology to manage the power consumption of idle devices could save organizations thousands of pounds a year and help reduce their carbon footprint, new research suggests.[#item_full_content]
ChatGPT maker OpenAI and an Australian data center operator have agreed to develop a multibillion-dollar AI center in Sydney.ChatGPT maker OpenAI and an Australian data center operator have agreed to develop a multibillion-dollar AI center in Sydney.Machine learning & AI[#item_full_content]
SoftBank CEO and AI investor Masayoshi Son said Friday that advanced artificial intelligence could surpass humans to the extent that “we become fish” and could even win the Nobel Prize in Literature.SoftBank CEO and AI investor Masayoshi Son said Friday that advanced artificial intelligence could surpass humans to the extent that “we become fish” and could even win the Nobel Prize in Literature.Machine learning & AI[#item_full_content]
Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both efficient and as accurate as possible at each step lest errors pile up. A Kobe University team has introduced a new method that uses deep learning for creating tailored, accurate simulations that respect physical laws, while also being more computationally efficient.Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both efficient and as accurate as possible at each step lest errors pile up. A Kobe University team has introduced a new method that uses deep learning for creating tailored, accurate simulations that respect physical laws, while also being more computationally efficient.Computer Sciences[#item_full_content]
