AI is having its "We need more power, Scotty" moment
AI is entering a phase requiring significantly more computing power and infrastructure, as companies like OpenAI and Microsoft expand their data center capabilities.
Researchers claim to cut energy consumption AI 95 percent
BitEnergy AI's new algorithm significantly reduces the energy consumption of large language models without sacrificing precision.
Not to be outdone by OpenAI, Google releases its own "reasoning" AI model
Google DeepMind emphasizes the potential benefits of enhanced computation for AI reasoning models.
Nvidia boss Jensen Huang predicts computing power will increase a "millionfold" in a decade
Jensen Huang predicts a millionfold increase in computing power in a decade, essential for advancing generative AI.
AI is having its "We need more power, Scotty" moment
AI is entering a phase requiring significantly more computing power and infrastructure, as companies like OpenAI and Microsoft expand their data center capabilities.
Researchers claim to cut energy consumption AI 95 percent
BitEnergy AI's new algorithm significantly reduces the energy consumption of large language models without sacrificing precision.
Not to be outdone by OpenAI, Google releases its own "reasoning" AI model
Google DeepMind emphasizes the potential benefits of enhanced computation for AI reasoning models.
Nvidia boss Jensen Huang predicts computing power will increase a "millionfold" in a decade
Jensen Huang predicts a millionfold increase in computing power in a decade, essential for advancing generative AI.
AI chatbots are improving at an even faster rate than computer chips
AI chatbots are evolving rapidly, requiring half the computing power in just eight months compared to the rate of improvement in computer chips.
Mark Zuckerberg's new goal is creating artificial general intelligence
Tech industry's pursuit of artificial general intelligence (AGI)
Competition for AI talent and computing power
US project aims to help academia build next-gen AI models
The US National Science Foundation has launched the National Artificial Intelligence Research Resource (NAIRR) to help academics access computing power, data, and tools for AI research.
More than 20 companies and organizations, including Google, Nvidia, OpenAI, and Amazon, have pledged to share their resources with researchers accepted into the program.
How your business can make the most of abundant computing power in the age of AI
The ongoing availability of computing power amidst rapid AI advancements could transform business operations significantly.
Why So Many Bitcoin Mining Companies Are Pivoting to AI
AI companies are switching to using Bitcoin mining rigs for AI training due to increased energy demands and potential revenue stability.
Data gold rush: companies once focused on mining cryptocurrency pivot to generative AI
Generative AI has created a demand for computing power, particularly NVIDIA GPUs, to support its operations.
The energy required to power the hardware for generative AI is significant, requiring an energy breakthrough for sustainable advancement.
AI chatbots are improving at an even faster rate than computer chips
AI chatbots are evolving rapidly, requiring half the computing power in just eight months compared to the rate of improvement in computer chips.
Mark Zuckerberg's new goal is creating artificial general intelligence
Tech industry's pursuit of artificial general intelligence (AGI)
Competition for AI talent and computing power
US project aims to help academia build next-gen AI models
The US National Science Foundation has launched the National Artificial Intelligence Research Resource (NAIRR) to help academics access computing power, data, and tools for AI research.
More than 20 companies and organizations, including Google, Nvidia, OpenAI, and Amazon, have pledged to share their resources with researchers accepted into the program.
How your business can make the most of abundant computing power in the age of AI
The ongoing availability of computing power amidst rapid AI advancements could transform business operations significantly.
Why So Many Bitcoin Mining Companies Are Pivoting to AI
AI companies are switching to using Bitcoin mining rigs for AI training due to increased energy demands and potential revenue stability.
Data gold rush: companies once focused on mining cryptocurrency pivot to generative AI
Generative AI has created a demand for computing power, particularly NVIDIA GPUs, to support its operations.
The energy required to power the hardware for generative AI is significant, requiring an energy breakthrough for sustainable advancement.