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A greener internet of things with no wires attached

KAUST ·

KAUST researchers are exploring thin-film device technologies using materials like printable organics and metal oxides for a greener Internet of Things (IoT). They propose wirelessly powered sensor nodes using energy harvesters to reduce reliance on batteries, which are costly and environmentally harmful. Large-area electronics, printed on flexible substrates, offer a more eco-friendly alternative to silicon-based technologies due to solution-based processing and lower production temperatures. Why it matters: This research contributes to a more sustainable and environmentally friendly IoT ecosystem, aligning with global efforts to reduce electronic waste and energy consumption.

Climate conscious computing

MBZUAI ·

MBZUAI's Qirong Ho and colleagues are developing an Artificial Intelligence Operating System (AIOS) for decarbonization, aiming to reduce energy waste in AI development. The AIOS focuses on improving communication efficiency between machines during AI model training, as inefficient communication leads to prolonged tasks and increased energy consumption. This system addresses the high computing power demands of large language models like ChatGPT and LLaMA-2. Why it matters: By optimizing energy usage in AI development, the AIOS could significantly reduce the carbon footprint of AI technologies in the region and globally.

Vicuna, Altman, and the importance of green AI

MBZUAI ·

MBZUAI President Eric Xing led a global collaboration to develop Vicuna, an LLM alternative to GPT-3 addressing the unsustainable costs of training LLMs. OpenAI CEO Sam Altman acknowledged Abu Dhabi's role in the global AI conversation, building off of achievements like Vicuna. Xing and colleagues are publishing research at MLSys 2023 on "cross-mesh resharding" to improve computer communication in deep learning, aiming for low-carbon, affordable, and miniaturized AI. Why it matters: This research signals a push towards sustainable AI development in the region, emphasizing efficiency and reduced environmental impact.

Green Learning — New Generation Machine Learning and Applications

MBZUAI ·

A recent talk at MBZUAI discussed "Green Learning" and Operational Neural Networks (ONNs) as efficient alternatives to CNNs. ONNs use "nodal" and "pool" operators and "generative neurons" to expand neuron learning capacity. Moncef Gabbouj from Tampere University presented Self-Organized ONNs (Self-ONNs) and their signal processing applications. Why it matters: Exploring more efficient AI models is crucial for sustainable development of AI in the region, as it addresses computational resource constraints and promotes broader accessibility.

WEP 2022: Jeffrey Sachs on building a green future

KAUST ·

Professor Jeffrey Sachs of Columbia University gave a keynote at KAUST's Winter Enrichment Program (WEP) 2022 on "resilience." He emphasized the need to end greenhouse gas emissions by mid-century through decarbonizing the energy system. Sachs highlighted the importance of science and technology solutions, especially in adapting to climate change. Why it matters: The talk underscores the importance of KAUST's research initiatives, such as the Circular Carbon Initiative, in developing technologies for carbon capture and utilization, aligning with Saudi Arabia's net-zero targets.

Pillars of the future

KAUST ·

MIT Professor Ahmed F. Ghoniem delivered a keynote at KAUST's Spring Enrichment Program discussing clean energy solutions for future cities. He emphasized a portfolio approach including electrochemical, solar thermochemical, and plasma technologies for renewable energy storage. Ghoniem highlighted the economic opportunities arising from clean energy technology deployment, R&D, and job creation. Why it matters: The focus on renewable energy and storage aligns with Saudi Arabia's Vision 2030 goals for sustainable urban development and diversification of the energy sector.

The future of sustainable cooling is being built in the Saudi Desert

KAUST ·

KAUST researchers are developing passive cooling solutions that use no electricity to address Saudi Arabia's high air conditioning electricity consumption. The technologies leverage nanotechnology, reflective materials, water evaporation, and advanced sensors to cool urban spaces, greenhouses, and buildings. One innovation involves nanotechnology that absorbs water from the air to cool electronics. Why it matters: These advancements are crucial for sustainable growth in hot climates, particularly for protecting solar panel efficiency and addressing rising global energy demands for cooling.

Green Hydrogen’s Time is Now

KAUST ·

KAUST researchers are working on green hydrogen production, which uses renewable energy to split water into hydrogen and oxygen. The current methods are capital intensive and require desalinated water, which is scarce in desert regions. KAUST is partnering with NEOM, a futuristic region on the Red Sea, where green hydrogen will be an important part of the economy. Why it matters: Innovations in green hydrogen production and cost reduction will be critical for sustainable energy in regions like Saudi Arabia.