Cost-effectively replacing fossil fuels solves the world’s CO2 problem and Heliogen is developing the technology to do just that. Heliogen, the clean energy company that is transforming sunlight to create and replace fuels, today announced its launch and that it has – for the first time commercially – concentrated solar energy to exceed temperatures greater than 1,000 degrees Celsius. At that temperature, Heliogen can replace the use of fossil fuels in critical industrial processes, including the production of cement, steel, and petrochemicals, dramatically reducing greenhouse gas emissions from these activities. This singular scientific achievement was accomplished at Heliogen’s commercial facility in Lancaster, California. Heliogen’s mission is to create the world’s first technology that can commercially replace fossil fuels with carbon-free, ultra-high temperature heat from the sun and to transform sunlight into fuels at scale – taking a major step towards solving climate change. Its heat technology represents a key technical breakthrough for concentrated solar thermal. Previous commercial concentrating solar thermal systems have been designed to reach temperatures of up to only 565 degrees Celsius – useful for power generation, but insufficient for many industrial processes. Many of these processes require much higher temperatures, which have traditionally been reached through the burning of fossil fuels. The potential impact of Heliogen’s patented technology is massive. With temperatures from its concentrating solar thermal technology exceeding 1,000 degrees Celsius, Heliogen will be able to replace the fuel that generates greenhouse gas emissions from industrial processes with solar energy for the first time. For instance, cement production – one of the industrial processes well suited to Heliogen’s technology – alone accounts for more than 7 percent of global CO2 emissions. In addition to industrial process heat, Heliogen’s technology roadmap calls for temperatures up to 1,500 degrees Celsius. At that temperature, Heliogen can perform CO2-splitting and water-splitting to make 100 percent fossil-free fuels such as hydrogen or syngas. Heliogen is able to achieve these breakthrough temperatures as a result of its technology that uniquely uses advanced computer vision software to hyper-accurately align a large array of mirrors to reflect sunlight to a single target. The firm’s founder and chief executive officer is Bill Gross, a lifelong entrepreneur and founder of Idealab. The Heliogen team includes scientists and engineers from Caltech, MIT, and other leading institutions and is based in Pasadena, California. Heliogen is working with Parsons Corporation (NYSE: PSN), a global leader in the defense, intelligence, and critical infrastructure markets. Parsons, Heliogen’s strategic partner, has more than a decade of experience with the development and implementation of innovative solar thermal projects. “As a company, we deliver sustainable solutions to our customers and we look forward to bringing Heliogen’s breakthrough technology to scale with our industry partners,” said Michael Chung, Vice President of Energy Solutions, Parsons Corporation. “The world has a limited window to dramatically reduce greenhouse gas emissions,” said Bill Gross, CEO and Founder, Heliogen, and Founder and Chairman, Idealab. “We’ve made great strides in deploying clean energy in our electricity system. But electricity accounts for less than a quarter of global energy demand. Heliogen represents a technological leap forward in addressing the other 75 percent of energy demand: the use of fossil fuels for industrial processes and transportation. With low-cost, ultra-high temperature process heat, we have an opportunity to make meaningful contributions to solving the climate crisis.” “Today, industrial processes like those used to make cement, steel, and other materials are responsible for more than a fifth of all emissions,” said Bill Gates. “These materials are everywhere in our lives but we don’t have any proven breakthroughs that will give us affordable, zero-carbon versions of them. If we’re going to get to zero-carbon emissions overall, we have a lot of inventing to do. I’m pleased to have been an early backer of Bill Gross’s novel solar concentration technology. Its capacity to achieve the high temperatures required for these processes is a promising development in the quest to one day replace fossil fuel. Other investors in Heliogen include venture capital firm Neotribe and Dr. Patrick Soon-Shiong, the Los Angeles-based investor and entrepreneur, through his investment firm, Nant Capital, a division of NantWorks. Neotribe’s founder and managing director, Swaroop ‘Kittu’ Kolluri, and Dr. Soon-Shiong have joined Heliogen’s board of directors. “For the sake of our future generations we must address the existential danger of climate change with an extreme sense of urgency,” said Dr. Patrick Soon-Shiong, Chairman and CEO of NantWorks, and member of the board of directors, Heliogen. “I am committed to using my resources to invest in innovative technologies that harness the power of nature and the sun. By significantly reducing greenhouse gas emissions and generating a pure source of energy, Heliogen’s brilliant technology will help us achieve this mission and also meaningfully improve the world we leave our children.” “It’s not hard to improve upon another’s idea, but it takes a truly innovative mind and superhuman effort to create something entirely new and groundbreaking,” said Swaroop ‘Kittu’ Kolluri, Founder of Silicon Valley VC firm Neotribe Ventures, and member of the board of directors, Heliogen. “We enthusiastically support entrepreneurs in their quest to disrupt the status quo by solving complex and deeply impactful problems that result in lasting change. Bill Gross and the team at Heliogen have done exactly that, solve a complete problem in a bold new way that will make the world a better place.”

An updated analysis from OpenAI shows how dramatically the need for computational resources has increased to reach each new AI breakthrough. In 2018, OpenAI found that the amount of computational power used to train the largest AI models had doubled every 3.4 months since 2012. The San Francisco-based for-profit AI research lab has now added new data to its analysis. This shows how the post-2012 doubling compares to the historic doubling time since the beginning of the field. From 1959 to 2012, the amount of power required doubled every 2 years, following Moore’s Law. This means the doubling time today is more than seven times the previous rate. This dramatic increase in the resources needed underscores just how costly the field’s achievements have become. Keep in mind, the above graph shows a log scale. On a linear scale (below), you can more clearly see how compute usage has increased by 300,000-fold in the last seven years. The chart also notably does not include some of the most recent breakthroughs, including Google’s large-scale language model BERT, OpenAI’s large-scale language model GPT-2,  or DeepMind’s StarCraft II-playing model AlphaStar. In the past year, more and more researchers have sounded the alarm on the exploding costs of deep learning. In June, an analysis from researchers at the University of Massachusetts, Amherst, showed how these increasing computational costs directly translate into carbon emissions. In their paper, they also noted how the trend exacerbates the privatization of AI research because it undermines the ability for academic labs to compete with much more resource-rich private ones. In response to this growing concern, several industry groups have made recommendations. The Allen Institute for Artificial Intelligence, a nonprofit research firm in Seattle, has proposed that researchers always publish the financial and computational costs of training their models along with their performance results, for example. In its own blog, OpenAI suggested policymakers increase funding to academic researchers to bridge the resource gap between academic and industry labs

StarckGate is happy to work together with Asimov that will be aiming to radically advance humanity's ability to design living systems. They strive to enable biotechnologies with global benefit by combining synthetic biology and computer science. With their help we will able to grasp the following domains better Synthetic Biology Nature has evolved billions of useful molecular nanotechnology devices in the form of genes, across the tree of life. We catalog, refine, and remix these genetic components to engineer new biological systems. Computational Modeling Biology is complex, and genetic engineering unlocks an unbounded design space. Computational tools are critical to design and model complex biophysical systems and move synthetic biology beyond traditional brute force screening. Cellular Measurement Genome-scale, multi-omics measurement technologies provide deep views into the cell. These techniques permit pathway analysis at the scale of a whole cell, and inspection down at single-nucleotide resolution. Machine Learning We are developing machine learning algorithms that bridge large-scale datasets with mechanistic models of biology. Artificial intelligence can augment human capabilities to design and understand biological complexity.