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Archive for the ‘sustainability’ category: Page 181

Dec 19, 2022

Space Renaissance Christmas Special 2022

Posted by in categories: law, space, sustainability

The last event of 2022 will take place December 19th: Christmas Special meeting. with our president Prof. Bernard Foing!
We’ll have a look at what we have done in 2022, and we’ll announce the program of 2023.
The Zoom meeting will be open to all of the SRI Members and invited friends – just registered or going to register during the meeting.
All the participants will have the possibility to make questions to the SRI President, the Founder and the Board of Directors, about the 2023 program. Criticisms and proposals will be welcome too.
We have a huge programme for 2023, and we are going through some key steps, to achieve an higher legal status for our association: to be registered as a not for profit entity on the Unic National Register of the Third Sector Entities (RUNTS). Such an achievement will allow SRI to call Italian taxpayers to target the 5×1000 of their yearly tax to SRI, and the donations to be deducted from the tax declaration. These conditions, when achieved, will greatly contribute to the sustainability of our initiatives.
We are asking each of the SRI members and supporters to assume this priority for December 2022: to bring onboard many new members and to seek for donors and sponsors!
We will celebrate together during the Xmas Special event and exchange season greetings and wishes for a vibrant year 2023 for Space Renaissance International!

Dec 19, 2022

This mechanical engineer is building robots to harvest raspberries

Posted by in categories: climatology, robotics/AI, sustainability

Around 38% of the world’s total landmass is used for agriculture – yet hunger is worsening, and food security is in crisis, threatened by pressures including climate change, conflict and global recessions.

While there’s no one-stop solution, technology can help to fill some of the gaps. Mechanical engineer Josie Hughes is on a mission to show how robotics can play a role in our everyday lives, particularly when it comes to food. Starting with LEGO robots as a child, the Cambridge graduate now leads the Computational Robot Design & Fabrication Lab (CREATE) at the Swiss Federal Institute of Technology Lausanne (EPFL), where she’s one of the youngest researchers to join as a tenure-track assistant professor.

One of her innovations, a raspberry-picking robot powered by artificial intelligence, could help make farming more efficient and cost-effective, and solve labor shortages – which in the UK alone left £60 million ($74 million) worth of fruit and vegetables rotting in fields this summer. CNN spoke with Hughes about her research, and when robots might be harvesting your next meal.

Dec 18, 2022

Has anyone heard of atmospheric water generators?

Posted by in category: sustainability

Majik Water is a social enterprise that specializes in air to water technologies in arid and semi arid regions. They are creating a new source of affordable, clean drinking water for water scarce communities. If you have air, you can have drinking water.

Dec 18, 2022

Hot salt, clean energy: How artificial intelligence can enhance advanced nuclear reactors

Posted by in categories: climatology, nuclear energy, robotics/AI, solar power, sustainability

Technology developed at Argonne can help narrow the field of candidates for molten salts, a new study demonstrates.

Scientists are searching for new materials to advance the next generation of nuclear power plants. In a recent study, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory showed how artificial intelligence could help pinpoint the right types of , a key component for advanced nuclear reactors.

The ability to absorb and store heat makes important to and national climate goals. Molten salts can serve as both coolant and fuel in nuclear power reactors that generate electricity without emitting greenhouse gases. They can also store large amounts of energy, which is increasingly needed on an electric grid with fluctuating sources such as wind and solar power.

Dec 18, 2022

Carbon-eating blocks ingest eight tonnes of CO2 a day, says company

Posted by in categories: economics, food, sustainability

The carbon-negative concrete blocks absorb more CO2 during production than they emit.

A Limburg (Netherlands) company called Masterbloc has engineered an eco-friendly building material from steel slag left over from the steel industry, according to an article by The Brussels Times.

The company CEO Bjorn Gubbels claims the block stores CO2 and can help boost the circular economy.

Continue reading “Carbon-eating blocks ingest eight tonnes of CO2 a day, says company” »

Dec 18, 2022

Could Twitter Be Elon Musk’s ‘Greatest Investment Ever’? Jim Cramer Isn’t Betting Against The ‘Underestimated’ Tesla CEO

Posted by in categories: Elon Musk, finance, sustainability, transportation

In April, Tesla Inc TSLA CEO Elon Musk said he was done selling Tesla shares to help finance his ongoing overhaul at Twitter.

Since then, he jettisoned more than $20 billion worth of Tesla stock and has continued the selling spree this week.

As the stock continues to skid, Jim Cramer sees an electric buying opportunity.

Dec 17, 2022

Chemist From Cameroon Makes Cleaning Products

Posted by in categories: business, sustainability

Chemist Martial Gervais Oden-Bella developed a method for recycling used cooking oil by turning it into soap! Not only is he helping the environment, but he’s made a profitable business in the process.

In Cameroon, people were tossing the used oil down the drain, which can pollute water treatment systems and the environment. When the oil ends up in the environment, it’s harmful and toxic to wildlife. Now the businesses (restaurants and hotels in the southwestern city of Douala) save the used oil to give to Oden-Bella, who turns it into soap and other cleaning products.

Continue reading “Chemist From Cameroon Makes Cleaning Products” »

Dec 17, 2022

New BladeRobots serve wind turbines ‘4 times faster’ than conventional methods

Posted by in categories: business, robotics/AI, sustainability

AI is used by the robotic solution to swiftly adapt to all types of blades used in the sector.

Danish energy solutions provider Vestas has unveiled BladeRobots as a stand-alone business with an automated robotic technology solution for the maintenance of wind turbines.

The robot performs automated blade-leading edge maintenance up to “four times faster” than traditional manual methods, according to a press release by the company published on Wednesday.

Dec 17, 2022

How do wind turbines spin during winter? The science behind frozen blades

Posted by in categories: energy, physics, science, sustainability

Building a wind power operation that can thrive in icy conditions requires a keen understanding of the underlying physics.

Winter is supposed to be the best season for wind power — the winds are more potent, and since air density increases as the temperature drops, more force is pushing on the blades. But winter also comes with a problem: freezing weather.

Continue reading “How do wind turbines spin during winter? The science behind frozen blades” »

Dec 17, 2022

This AI Paper Introduces a General-Purpose Planning Algorithm called PALMER that Combines Classical Sampling-based Planning Algorithms with Learning-based Perceptual Representations

Posted by in categories: information science, policy, robotics/AI, space, sustainability

Both animals and people use high-dimensional inputs (like eyesight) to accomplish various shifting survival-related objectives. A crucial aspect of this is learning via mistakes. A brute-force approach to trial and error by performing every action for every potential goal is intractable even in the smallest contexts. Memory-based methods for compositional thinking are motivated by the difficulty of this search. These processes include, for instance, the ability to: recall pertinent portions of prior experience; (ii) reassemble them into new counterfactual plans, and (iii) carry out such plans as part of a focused search strategy. Compared to equally sampling every action, such techniques for recycling prior successful behavior can considerably speed up trial-and-error. This is because the intrinsic compositional structure of real-world objectives and the similarity of the physical laws that control real-world settings allow the same behavior (i.e., sequence of actions) to remain valid for many purposes and situations. What guiding principles enable memory processes to retain and reassemble experience fragments? This debate is strongly connected to the idea of dynamic programming (DP), which using the principle of optimality significantly lowers the computing cost of trial-and-error. This idea may be expressed informally as considering new, complicated issues as a recomposition of previously solved, smaller subproblems.

This viewpoint has recently been used to create hierarchical reinforcement learning (RL) algorithms for goal-achieving tasks. These techniques develop edges between states in a planning graph using a distance regression model, compute the shortest pathways across it using DP-based graph search, and then use a learning-based local policy to follow the shortest paths. Their essay advances this field of study. The following is a summary of their contributions: They provide a strategy for long-term planning that acts directly on high-dimensional sensory data that an agent may see on its own (e.g., images from an onboard camera). Their solution blends traditional sampling-based planning algorithms with learning-based perceptual representations to recover and reassemble previously recorded state transitions in a replay buffer.

The two-step method makes this possible. To determine how many timesteps it takes for an optimum policy to move from one state to the next, they first learn a latent space where the distance between two states is the measure. They know contrastive representations using goal-conditioned Q-values acquired through offline hindsight relabeling. To establish neighborhood criteria across states, the second threshold this developed latent distance metric. They go on to design sampling-based planning algorithms that scan the replay buffer for trajectory segments—previously recorded successions of transitions—whose ends are adjacent states.