The major concern for any enterprise is improved performance. For this purpose, business intelligence gathering systems were being used by companies in the 21st century. The identification of the gaps will be done by post-mortem data analysis with the help of order fulfilment cycles. In many organizations, technologies such as artificial intelligence (AI) and machine learning can revolutionize the main aspects of operations, while facilitating redefining new and existing consumer experience. The advancement becomes the urgent need due to hike in the production, potential loss of revenues, lack of customer service and transportation cost.
The American Physical Society (APS) has recognized a summer intern at the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) for producing an outstanding research poster at the world-wide APS Division of Plasma Physics (DPP) gathering last October. The student, Marco Miller, a senior at Columbia University majoring in applied physics, used machine learning to accelerate a leading PPPL computer code known as XGC as a participant in the DOE's Summer Undergraduate Laboratory Internship (SULI) program in 2019. The modifications, which will enable the XGC code to calculate more quickly, could help expand the physics included in detailed simulations of the plasma that fuels fusion reactions. The poster, prepared under the mentorship of PPPL physicist Michael Churchill, showed how Miller used machine learning techniques in his research and was presented at the APS-DPP conference in Fort Lauderdale, Florida. "It felt great to get the award," Miller said.
Algae, that green scum often seen on the surface of ponds, and credited with harmful ocean algal blooms that kill ocean life might just hold an important key to addressing climate change. Algae, much like trees, uses carbon dioxide to conduct photosynthesis, sequestering CO2 as it grows. Hypergiant, an AI products and solutions company, is harnessing this unique power of algae in its latest technology, the EOS bio-reactor which uses AI to optimize algae growth and carbon sequestration. Its bio-reactor is built to hook up to HVAC systems found in large industrial buildings, skyscrapers and apartment buildings which are some of the biggest contributors to global warming from the CO2 emitted through their energy usage and air conditioning systems. The science is clear that we must not only cut our carbon emissions as a means to stop the irreversible harm of climate change and limit global warming but that we also need to take carbon out of the atmosphere to stay within the stated target 1.5 C of the Paris Climate Agreement.
Artificial intelligence routinely produces startling achievements, but those advances require staggering amounts of computing power and electricity. Last month, researchers at OpenAI in San Francisco revealed an algorithm capable of learning, through trial and error, how to manipulate the pieces of a Rubik's Cube using a robotic hand. It was a remarkable research feat, but it required more than 1,000 desktop computers plus a dozen machines running specialized graphics chips crunching intensive calculations for several months. The effort may have consumed about 2.8 gigawatt-hours of electricity, estimates Evan Sparks, CEO of Determined AI, a startup that provides software to help companies manage AI projects. A spokesperson for OpenAI questioned the calculation, noting that it makes several assumptions.
Last month, researchers at OpenAI in San Francisco revealed an algorithm capable of learning, through trial and error, how to manipulate the pieces of a Rubik's Cube using a robotic hand. It was a remarkable research feat, but it required more than 1,000 desktop computers plus a dozen machines running specialized graphics chips crunching intensive calculations for several months. The effort may have consumed about 2.8 gigawatt-hours of electricity, estimates Evan Sparks, CEO of Determined AI, a startup that provides software to help companies manage AI projects. A spokesperson for OpenAI questioned the calculation, noting that it makes several assumptions. But OpenAI declined to disclose further details of the project or offer an estimate of the electricity it consumed.
Since the first true wireless earbuds were unveiled in 2015 by Japanese electronics company Onkyo, the fledgling form factor has improved in both audio quality and performance – and CES 2020 showed that true wireless technology might finally be ready for the bigtime. In the past, true wireless earbuds were riddled with connectivity issues, poor audio quality, and bulky designs – however, based on what we saw at CES this year, the best true wireless earbuds of 2020 will be able to compete with wired headphones on a much more level playing field. We finally saw the kind of specs we can expect from true wireless earbuds in 2020; from noise cancellation to long-lasting battery life, so here are three reasons why, if you've been holding off, you should consider a pair of untethered earbuds to enjoy your tunes every day. For a while now, true wireless earbuds have typically cost more than their wired counterparts – but CES 2020 showed us this form factor doesn't have to come at a premium. The new JLab Go Air True Wireless Earbuds are a great example of the growing accessibility of cord-free listening; at just $29 / £29 (about AU$40), they're nearly eight times cheaper than the current class-leading model, the Sony WF-1000XM3.
The concept of the circular economy is designed to replace the end-of-life economic system with restoration, use of renewable energy, and the elimination of waste through the better design of materials, products, systems and business models. Most leading organizations worldwide have begun identifying feasible opportunities in adopting sustainable business practices, embracing circular business models and leveraging disruptive technologies. For city planners, businesses and policymakers, a smart city transformation from the current economic model, knows as linear economy, to a circular economy encompasses high complexity. They need to consider material and energy, product design, business models, manufacturing, service and distribution processes and data management and more. However, embracing artificial intelligence in a circular economy can expedite the efforts of a smart city project needs, creating ways to accomplish sustainable development goals.
There's a dire need to speed the planet's shift to clean energy - and the power of Artificial Intelligence can help. The world has gone through a number of energy transformations – from wood to coal, then to oil, gas and (partly) nuclear. These shifts were gradual and contingent on economic conditions. Now major efforts are under way to reform the global energy sector to make it low-carbon, non-nuclear and climate-compatible. But, unlike the previous transformations, the ongoing restructuring process is driven by elevated awareness of the disastrous consequences of climate change.
The UAE continues to places great importance to protecting the environment and promoting a green economy, placing sustainability at the forefront of its strategic priorities. This is in line with the UAE Vision 2021, which aims to build a sustainable environment, and a diversified and sustainable competitive economy that ensures a secure future for generations to come. Under the guidance of its wise leadership, the UAE has made great progress towards sustainability, driven by significant achievements in the adoption of advanced technologies to create a new reality and to build a leading global model for sustainable development. The UAE has recognised the importance of Artificial Intelligence (AI) as the cornerstone for achieving sustainability goals, at a time when this advanced technology is expected to contribute to the growth of the country's GDP by 35% until 2031, while also reducing government expenditures by 50% annually, cutting down the number of paper transactions and saving millions of work hours annually. The aim of the UAE Strategy for Artificial Intelligence 2031 is to improve government performance, accelerate the pace of achievements, and to create innovative and productive work environments that ensure high levels of productivity.
Three years ago, AI became a new selling point for smartphones. For a time, smartphones supporting AI features quickly spread, and AI performance has become the most important mobile processor parameter after the CPU and GPU. Today, demonstrating AI performance has become an indispensable part of mobile phone and mobile processor conferences. When it comes to the AI function on mobile phones, many people can immediately think of it-smart voice assistant and AI camera. There is no doubt that AI photography is the most commonly used function by ordinary consumers.