Renewable energy resources (RERs) have been increasingly integrated into modern power systems, especially in large-scale distribution networks (DNs). In this paper, we propose a deep reinforcement learning (DRL)-based approach to dynamically search for the optimal operation point, i.e., optimal power flow (OPF), in DNs with a high uptake of RERs. Considering uncertainties and voltage fluctuation issues caused by RERs, we formulate OPF into a multi-objective optimization (MOO) problem. To solve the MOO problem, we develop a novel DRL algorithm leveraging the graphical information of the distribution network. Specifically, we employ the state-of-the-art DRL algorithm, i.e., deep deterministic policy gradient (DDPG), to learn an optimal strategy for OPF. Since power flow reallocation in the DN is a consecutive process, where nodes are self-correlated and interrelated in temporal and spatial views, to make full use of DNs' graphical information, we develop a multi-grained attention-based spatial-temporal graph convolution network (MG-ASTGCN) for spatial-temporal graph information extraction, preparing for its sequential DDPG. We validate our proposed DRL-based approach in modified IEEE 33, 69, and 118-bus radial distribution systems (RDSs) and show that our DRL-based approach outperforms other benchmark algorithms. Our experimental results also reveal that MG-ASTGCN can significantly accelerate the DDPG training process and improve DDPG's capability in reallocating power flow for OPF. The proposed DRL-based approach also promotes DNs' stability in the presence of node faults, especially for large-scale DNs.

In recent years, the rapid advance of artificial intelligence has evoked cries of alarm from billionaire entrepreneur Elon Musk and legendary physicist Stephen Hawking. Others, including the eccentric futurist Ray Kurzweil, have embraced the coming of true machine intelligence, suggesting that we might merge with the computers, gaining superintelligence and immortality in the process. It turns out, we may not have to wait much longer. This morning, a group of research scientists at Google DeepMind announced that they had inadvertently solved the riddle of artificial general intelligence (AGI). Their approach relies upon a beguilingly simple technique called symmetrically toroidal asyncronomous bisecting convolutions.

IT TOOK decades for scientists to unlock the structure of just 17 per cent of the proteins in the human body. But UK-based AI company DeepMind raised the bar to 98.5 per cent in July when it announced that its AlphaFold model could quickly and reliably calculate the way proteins fold. This could lead to targeted drugs that bind to specific parts of molecules. We caught up with Pushmeet Kohli at DeepMind to see how work is progressing with mapping almost every one of the more than 100 million known proteins that have been sequenced from across the tree of life. Were you surprised at the success of AlphaFold, considering that figuring out protein folding previously required vast supercomputers?

Kahneman, a Nobel Prize winner in Economic Sciences and the author of Thinking, Fast and Slow, noted an instance in which humans use judgment heuristics--shortcuts, essentially--to answer questions they don't know the answer to. In the example, people are given a small amount of information about a student: She's about to graduate, and she was reading fluently when she was four years old. From that, they're asked to estimate her grade point average.

The current issues of the lending industry can be solved through technology and digitalizing the operations as much as possible. A thorough research and analyses on this matter has led Rishabh Goel to the idea of launching Credgenics, a technological solution to digitize a largely manual collections workflow. Rishabh was soon joined by Anand and Mayank, who are currently the CTO and COO of Credgenics respectively. Analytics Insight has engaged in an exclusive interview with Rishabh to discuss about his vision of creating a technology-based solution for the lending industry. After graduating from IIT Delhi, I worked first with Deutsche Bank and then with Blackrock, where I understood the nuances of the lending industry and observed the problems with the current collections practices.

Many of us who have uploaded images of our faces and the faces of our friends and family to openly-licensed platforms on the Web may have inadvertently contributed to a massive and growing database for AI facial recognition. So how are our faces being used? So have we all thrown away our privacy and assumption of innocence for a selfie? The film is Web Monetized, with all streaming payments going to the Surveillance Technology Oversight Project (S.T.O.P.) On the GftW Community Forum, we have been streaming funds to S.T.O.P. since July. So far, we have generated almost $200 in micropayments to support their work.

Welcome to The TechCrunch Exchange, a weekly startups-and-markets newsletter. It's inspired by the daily TechCrunch column where it gets its name. If you aren't in the United States, it's a little hard to explain. In short, certain deficiencies in our policing and judicial systems flared brightly as the week came to a close. So, today's Exchange newsletter will be shorter than intended. Hug the people you love, and everyone else.

These are some of the scariest and freakiest Artificial Intelligence Moments that have occurred by A.I. Some people believe they will take over the world, others think they are only as powerful as humans allow them to be. However, this is some of the oddest stuff an A.I. has done so far, what do you think?

Scientists have taken an unprecedented look at the supermassive black hole in our galaxy – and found an unknown star near to it. The new research has allowed scientists to take an estimate of the black hole's mass that is more accurate than ever before. Two studies covering the research are published today in Astronomy & Astrophysics is published today. Both include the work of Reinhard Genzel, who was awarded the Nobel Prize in 2020 for his work on the black hole, known as Sagittarius A*. "We want to learn more about the black hole at the centre of the Milky Way, Sagittarius A*: How massive is it exactly? Do stars around it behave exactly as we expect from Einstein's general theory of relativity?" Genzel said in a statement.

Jenée Desmond-Harris is online weekly to chat live with readers. Here's an edited transcript of this week's chat. Q. Hurt and betrayed: I recently found out my husband of seven years has been on adult dating sites and OnlyFans. I found multiple purchases from these sites over a year-and-a-half span and had no idea about it. He doesn't think he cheated since he didn't physically ever meet these women; I guess he only bought videos or pictures.