The World’s Largest Battery Helps Elon Musk Win The Race

In South Australia is now the largest battery in the world. With a build time of less than 100 days, Elon Musk has also won an ambitious bet. Above all, the battery is supposed to stabilize the electricity network of South Australia.

The bet began on Twitter when Australian billionaire Mike Cannon-Brookes challenged Musk to build a 100-megawatt battery within 100 days. Musk went into the bet and even increased the stakes: If he did not succeed, he would pay even for the considerable cost of more than 50 million US dollars, reports Ars Technica. After the battery is ready, it is clear that Musk will also be paid for his work.

The Cannon-Brookes contender is based on a statement by Tesla’s Vice P

Advertisements

In South Australia is now the largest battery in the world. With a build time of less than 100 days, Elon Musk has also won an ambitious bet. Above all, the battery is supposed to stabilize the electricity network of South Australia.

The bet began on Twitter when Australian billionaire Mike Cannon-Brookes challenged Musk to build a 100-megawatt battery within 100 days. Musk went into the bet and even increased the stakes: If he did not succeed, he would pay even for the considerable cost of more than 50 million US dollars, reports Ars Technica. After the battery is ready, it is clear that Musk will also be paid for his work.

The Cannon-Brookes contender is based on a statement by Tesla’s Vice President Lyndon Rive, who said that Tesla’s Powerwall 2 could provide enough battery capacity to address the occasional power problem in South Australia within 100 days.

In September 2016, there was a large power outage after a storm, after which a stabilization of the infrastructure was tackled. In the resulting call for tenders for energy storage Elon Musks company Tesla prevailed against 90 other applicants.

South Australia relies to a large extent on renewable energy. The Hornsdale Wind Farm near Jamestown produces 315 megawatts of electricity, but the output varies according to the wind force.

The new battery can now store excess energy to meet demand in an emergency. The capacity of the world’s largest Li-ion battery is enough to supply 30,000 households with electricity. There are still the last tests. If everything goes according to plan, the battery will go into operation on December 1st.

IBM And MIT Are Researching Jointly Artificial Intelligence

The renowned Massachusetts Institute of Technology and the company IBM are setting up a joint laboratory for artificial intelligence: the MIT-IBM Watson AI Lab is to carry out basic research and develop concrete technologies with the help of physicists, economists, and computer developers.

IBM will contribute 240 million dollars to the cooperation between the company and the university for the next ten years, reports VentureBeat. Both institutions will hire researchers for the new laboratory, which will jointly carry out research in four areas that have been identified as relevant for the future with AI.

The research areas of MIT-IBM Watson AI Lab include, in practical application, the development of new AI algorithms and

The renowned Massachusetts Institute of Technology and the company IBM are setting up a joint laboratory for artificial intelligence: the MIT-IBM Watson AI Lab is to carry out basic research and develop concrete technologies with the help of physicists, economists, and computer developers.

IBM will contribute 240 million dollars to the cooperation between the company and the university for the next ten years, reports VentureBeat. Both institutions will hire researchers for the new laboratory, which will jointly carry out research in four areas that have been identified as relevant for the future with AI.

The research areas of MIT-IBM Watson AI Lab include, in practical application, the development of new AI algorithms and the use of physical research for new hardware in this area, especially in quantum computing. In more theoretical future studies, the application possibilities of AI in specific industrial areas as well as the possible effects of this technology on society are to be investigated.

The research of AI should be useful to both partners and is not the first collaboration between MIT and IBM in this area. Last year, IBM and the MIT Department of Brain and Cognitive Sciences published a joint study on image recognition by AI. The results of the new laboratory are to be partly made available to the world but partly also in commercial products from IBM.

Unlike other AI labs, such as Google’s Deepmind and the OpenAI non-profit project launched by Elon Musk, Microsoft, Amazon and other investors, IBM’s Watson AI Lab is more interdisciplinary.

SpaceX by Elon Musk Prepares to Send HPE Supercomputer to Space

On Monday, August 14, 2017, SpaceX of Elon Musk sends its space cargo spaceship Dragon into space with a Hewlett Packard Enterprise (HPE) supercomputer on board. This supercomputer, called Spaceborne Computer, is part of a year-long experiment by HPE and NASA to run a high performing commercial computer system in space, which has never been done before.

The goal is that the system works perfectly in the challenging conditions of space for a year – roughly the time it will take to get to Mars.

Many of the calculations required for space research projects are still being carried out on Earth because of limited space – based computer capabilities, which creates a challenge when transmitting data to the Earth, Space, and space.

Although

On Monday, August 14, 2017, SpaceX of Elon Musk sends its space cargo spaceship Dragon into space with a Hewlett Packard Enterprise (HPE) supercomputer on board. This supercomputer, called Spaceborne Computer, is part of a year-long experiment by HPE and NASA to run a high performing commercial computer system in space, which has never been done before.

The goal is that the system works perfectly in the challenging conditions of space for a year – roughly the time it will take to get to Mars.

Many of the calculations required for space research projects are still being carried out on Earth because of limited space – based computer capabilities, which creates a challenge when transmitting data to the Earth, Space, and space.

Although this approach works for space exploration on the Moon or Low Earth Orbit where astronauts can be in near real-time communication with the Earth once they move farther and closer Of Mars, they will experience greater latencies of communication.

It may take up to 20 minutes for communications to reach Earth, then another 20 minutes for answers to arrive at the astronauts. Such a communication delay would make exploration in the field difficult and potentially dangerous if astronauts are faced with mission critical scenarios that they are not able to solve themselves.

Successful space exploration, Low earth orbit will only be possible after developing sophisticated onboard computer resources that will be able to extend the availability periods. For this to happen, the viability of space technology must be improved to ensure the survival of astronauts. By sending a supercomputer into space, HPE takes the first step in this direction.

As a general rule, for NASA to validate the sending of computers into space, systems must be “sturdy” or “hardened” to withstand the unique conditions of space. Indeed, radiation, solar flares, subatomic particles, micrometeorites, unstable electricity supply and irregular cooling are all factors that make the operation tricky.

This physical hardening takes time, money and adds weight. HPE took a different approach, and the system was “hardened” with software. It has also passed at least 146 safety tests and certifications in order to be approved by NASA to go into space.

Elon Musk Will Create His Own Hyperloop

Elon Musk gave the idea of Hyperloop a few years ago, but chose, for some reason, decided not to get involved in the direct development of transportation – instead, two startups stood out: Hyperloop One and Hyperloop Transportation Technologies (HTT). Now, the CEO of Tesla and SpaceX decided to play the game.

According to Bloomberg, a statement issued by the Boring Company of Musk stated that the intention is “to accelerate the development of this technology as soon as

Elon Musk gave the idea of Hyperloop a few years ago, but chose, for some reason, decided not to get involved in the direct development of transportation – instead, two startups stood out: Hyperloop One and Hyperloop Transportation Technologies (HTT). Now, the CEO of Tesla and SpaceX decided to play the game.

According to Bloomberg, a statement issued by the Boring Company of Musk stated that the intention is “to accelerate the development of this technology as soon as possible”. The document also says that Elon will continue to support those who want to develop a Hyperloop, but that these companies need to be “reliable” or lose the license to use the name – which is currently owned by SpaceX.

The announcement was made after the executive announced that he had tacitly negotiated with the US government on the construction of a stretch for Hyperloop between New York and Washington to be made by the Boring Company, but nothing more concrete was disclosed.

The motivation for changing the idea is also striking: it is well known that Musk is extremely focused on execution and perhaps the pace of development of current startups is not in line with his expectations.

OpenAI Designs an AI-Based Algorithm That Allows a Robot to Mimic Tasks Performed by Humans

In December 2015, Elon Musk and some people and companies in the technology industry joined forces to announce the creation of OpenAI, a non-profit organization with the goal of making the results available worldwide Research in the field of artificial intelligence without requiring financial compensation.

At the time of its creation, the founders of the company explained that their researchers will be strongly encouraged to publish their work in the form of documents, blog posts, code, and patents (if any) World. A few years have now passed, and a few days ago, the company announced the availability of a new algorithm based on artificial intelligence.

OpenAI has announced the availability of a framework allowing robots to learn by imitating what they are given to see. Generally, for a system to be able to master the various facets of a task and run it without

In December 2015, Elon Musk and some people and companies in the technology industry joined forces to announce the creation of OpenAI, a non-profit organization with the goal of making the results available worldwide Research in the field of artificial intelligence without requiring financial compensation.

At the time of its creation, the founders of the company explained that their researchers will be strongly encouraged to publish their work in the form of documents, blog posts, code, and patents (if any) World. A few years have now passed, and a few days ago, the company announced the availability of a new algorithm based on artificial intelligence.

OpenAI has announced the availability of a framework allowing robots to learn by imitating what they are given to see. Generally, for a system to be able to master the various facets of a task and run it without problems, it requires learning tests on a broad range of samples. OpenAI, therefore, wanted to go even faster in learning by allowing robots to learn as human beings do.

This gave rise to the “one-shot imitation learning” framework. With this algorithm, a human can communicate to a robot how to perform a new task after executing it in a virtual reality environment. And from a single demonstration, the robot can perform the same task from an arbitrary initial configuration.

Thus one can construct a policy by learning imitation or reinforcement to stack blocks in towers of 3. But with this new algorithm, researchers have succeeded in designing policies that are not specific to a particular task, but rather can be used by a robot to know what to do in a new situation of a task.

In the above video, OpenAI has a demonstration of the formation of a policy that solves a different instance of the same task with as a learning data the simulation observed on another demonstration.

To stack the blocks, the robot uses an algorithm supported by two neural networks, namely a vision network and an imitation network. The vision array acquires the desired capabilities by recording hundreds of simulated images in a task with different lighting, texture, and object disturbances. The imitation network observes a demonstration, milking, reduces the trajectory of the moving objects and then accomplishes the intention starting with blocks arranged differently.

Below the imitation network, it has a process called “Soft Attention” that deals with both the different steps and actions as well as the appropriate blocks to be used in stacking and also the components of the vector specifying the locations of the various blocks in the environment.

The researchers explain that for the robot to learn a robust policy, a modest amount of noise has been introduced into the results of the script policy. This allowed the robot to perform its task properly even when things go wrong. Without the injection of this noise, the robot would not have been able to generalize what he learned by observing a specific task.

Finally, it should be noted that although the “one-shot imitation learning” algorithm was used to teach a robot to move blocks of colored cubes, it can also be used for other tasks.