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UrduResearchers at the University of Minnesota have achieved a new material that will be pivotal in making the next generation of high-power electronics faster, transparent and more efficient.
Tag: Transparency
Empowering the hydrogen economy: The transformative potential of blockchain technology
Abstract As the world transitions towards sustainable energy solutions, the hydrogen economy is poised to play a crucial role due to its capacity to mitigate carbon emissions and solve energy storage challenges. This review assesses the potential of blockchain technology…
Mass production will soon make ultra-large nano transparent screens accessible to everyone
Newly developed nano transparent screen can be mass-produced at one-tenth the cost of existing screens…Viewers can watch high-definition video footages from multiple angles
GW Experts Available: White House Announces AI Safety Pledge with Top Tech Companies
Seven leading companies building artificial intelligence – including Google, Amazon, Microsoft, Meta and Chat GPT-maker OpenAI – have agreed to a voluntary pledge to mitigate the risks of AI, according to an announcement by the White House. The companies committed to…
GW Experts on White House AI Risk Mitigation Initiatives
WASHINGTON (May 4, 2023) – The Biden administration announced a slate of initiatives aimed at reducing the risks posed by rapidly advancing artificial intelligence systems. The list of measures includes $140 million for new AI research centers and a promise to…
Analysis finds most countries are failing to report on and evaluate their AI Initiatives
WASHINGTON (March 13, 2023) – As countries around the world expand their use of artificial intelligence, the Organization for Economic Co-operation and Development (OECD) has developed the most comprehensive website on AI policy, the OECD.AI Policy Observatory. However, a new paper by…
Better Transparency: Introducing Contextual Transparency for Automated Decision Systems
LinkedIn Recruiter would function better if recruiters knew exactly how LinkedIn generates its search query responses, possible through a framework called “contextual transparency.” A team of researchers led by NYU Tandon School of Engineering’s Mona Sloane advance this thought in a provocative new study published in Nature Machine Intelligence.