The U.S. Department of Energy has allocated $16 million for 15 projects that will leverage artificial intelligence and machine learning to accelerate scientific discovery in the field of nuclear physics research. The projects will focus on various aspects of nuclear physics, including experiments, simulations, theory, and accelerator operations, with the aim of expanding scientific reach and addressing technical challenges.
The use of artificial intelligence (AI) is seen as a positive development in terms of addressing environmental challenges, but there are concerns about AI's own carbon footprint due to energy-intensive processes such as data training and computer hardware production.
Intel is applying AI to its upcoming Meteor Lake chip to improve power management, using an algorithm that predicts and understands user behavior to optimize performance and energy efficiency.
Lawmakers in the Senate Energy Committee were warned about the threats and opportunities associated with the integration of artificial intelligence (AI) into the U.S. energy sector, with a particular emphasis on the risk posed by China's AI advancements and the need for education and regulation to mitigate negative impacts.
Artificial intelligence poses a more imminent threat to humanity's survival than climate crisis, pandemics, or nuclear war, as discussed by philosopher Nick Bostrom and author David Runciman, who argue that challenges posed by AI can be negotiated by drawing on lessons learned from navigating state and corporate power throughout history.
A computer that uses heat instead of electricity could be more energy-efficient and run algorithms for neural networks and artificial intelligence.
Artificial intelligence systems like ChatGPT are increasing the water consumption of data centers, prompting concerns about the environmental impact of AI's rapid growth. Microsoft and Google are taking steps to reduce the water and energy usage of AI systems, but experts emphasize the need for more efficient practices and transparency in resource usage.
Representatives from several countries and companies announced commitments to harness the power of artificial intelligence (AI) to advance progress in achieving the United Nations' Sustainable Development Goals (SDGs) during a ministerial side event at the United Nations' 78th Session High Level Week. These commitments focused on using AI to address issues related to health, education, food security, energy, and climate action, with an emphasis on inclusive and responsible governance of AI.
There is a need for more policy balance in discussions about artificial intelligence (AI) to focus on the potential for good and how to ensure societal benefit, as AI has the potential to advance education, national security, and economic success, while also providing new economic opportunities and augmenting human capabilities.
The United Nations General Assembly has seen a significant increase in discussions surrounding artificial intelligence (AI) this year, as governments and industry leaders recognize the need for regulation and the potential risks and benefits of AI. The United Nations is set to launch an AI advisory board to address these issues and reach a common understanding of governance and minimize risks while maximizing opportunities for good.
Microsoft is hiring a project manager for nuclear technology to explore using nuclear energy to power its AI data centers, aiming to address the high energy demand of AI models like ChatGPT.
The POLITICO AI and Tech Summit in Washington, D.C. will address the collision of government and technology, featuring discussions on antitrust in the tech industry, AI regulation, national security, high-tech supply chains, and the potential for using AI to combat climate change.
The European Central Bank is exploring how artificial intelligence (AI) could improve its understanding of inflation, by processing and analyzing multiple data sources to produce better analysis for policy decisions and simplify communication.
Artificial intelligence's rapid growth and adoption is leading to a significant increase in energy consumption, particularly in data centers, raising concerns about the environmental impact and the need for more efficient energy solutions.
Microsoft is forming a team to advance its artificial intelligence plans by hiring professionals to develop an energy strategy based on Small Modular Reactors and microreactor energy.
Big Tech companies like OpenAI and Microsoft are investing in nuclear power as a potential energy source for their energy-intensive AI models, despite the controversy surrounding nuclear energy's sustainability and waste management. Some experts argue that reducing energy consumption and increasing transparency are more efficient and environmentally friendly solutions to address the growing energy needs of AI.
Artificial intelligence may be alleviating concerns about Bitcoin's energy consumption and environmental impact, as the focus shifts to AI's own energy usage and efficiency improvements.
A new study warns that the artificial intelligence (AI) industry could consume as much energy as a country the size of the Netherlands by 2027, but its environmental impact could be less than feared if growth slows down.
AI chatbots like OpenAI's ChatGPT and Google's Bard consume a massive amount of electricity and water, with data centers estimated to use as much energy as an entire country by 2027, prompting experts to question the sustainability of the AI industry.
Artificial intelligence (AI) could consume as much energy as Sweden and undermine efforts to reduce carbon emissions, warns a study published in the journal Joule, highlighting the need for more sustainable AI practices.
A new study warns that the widespread adoption of artificial intelligence technology could lead to a substantial increase in electricity consumption, with AI systems relying on powerful servers and potentially driving a spike in energy demand.
The global AI industry could consume as much as 134 TWh of electricity annually by 2027, which is comparable to the annual consumption of countries like Argentina and the Netherlands, according to expert analysis. As AI becomes more prevalent, its energy needs will continue to grow, highlighting the importance of carefully considering where and when to use AI technologies.
The growth of artificial intelligence could significantly increase energy consumption, with AI servers potentially using as much electricity as small countries do in a year, according to an analysis published in Joule. The study highlights the need for sustainability considerations in AI development and calls for greater transparency and data on energy use in the industry.
Shell and C3 AI have partnered to enhance predictive maintenance in the energy industry, leveraging AI technology and Shell's expertise to improve asset reliability, reduce costs, and optimize operations. The collaboration aims to revolutionize the management of assets and improve operational efficiency while promoting sustainability in the field of energy.
China should seize the emerging opportunities in artificial intelligence (AI) to reshape global power dynamics and establish a new "international pattern and order," as AI is expected to bring deep economic and societal changes and determine the future shape of global economics. By mastering AI innovation and its applications, along with data, computing, and algorithms, a country can disrupt the existing global power balance, according to a report by the People's Daily research unit. China has been actively pursuing AI development while also implementing regulations to govern its use and mitigate risks.
DeepMind, the Google-owned AI lab, is using artificial intelligence to tackle climate change by helping understand climate change through prediction and monitoring, optimizing existing systems and infrastructure, and accelerating breakthrough science, such as nuclear fusion. The lab also acknowledges the carbon footprint of AI and aims to deploy carbon-efficient solutions. However, access to data and collaboration with domain experts are key roadblocks in utilizing AI to fight climate change, and safety considerations are addressed by working closely with experts in the respective fields. Overall, the techno-optimist view is that AI can be a transformative tool to solve climate change problems quickly and at scale.
The risks posed by artificial intelligence must be treated as seriously as the climate crisis, and immediate action is needed to address those risks, according to Demis Hassabis, the CEO of Google's AI unit. Hassabis suggests that oversight of the AI industry could start with a body similar to the Intergovernmental Panel on Climate Change (IPCC).
