During the press conference for the release of the Autopilot, Tesla CEO Elon Musk referred to each Model S owners as “expert trainers” – meaning that each driver will train the autonomous features of the system to feed the collective network intelligence of the fleet by simply driving the electric vehicle on Autopilot.
He said that the system should improve everyday, but that improvements might only become noticeable every week or so by adding up. Just a few weeks after the release, Model S owners are already taking to the Tesla Motors Club forum to describe how the Autopilot is improving…
At the launch of its latest Autopilot features, Tesla CEO Elon Musk noted that it would roll out the new vehicle capabilities to nations outside the United States once it got regulatory approval. Today Musk tweeted that the company has gotten approval from all those countries (except Japan). Now Tesla owners around the world can enjoy the slightly unnerving feeling of letting their Model S drive itself on the highway. Musk also announced that Autopilot 1.01 would be coming soon with improved fleet learning, better lane tracking on poor roads, curved speed adoption and controller smoothness.
Rendering of a virus used in the MIT experiments. The light-collecting centers, called chromophores, are in red, and chromophores that just absorbed a photon of light are glowing white. After the virus is modified to adjust the spacing between the chromophores, energy can jump from one set of chromophores to the next faster and more efficiently. (credit: the researchers and Lauren Alexa Kaye)
MIT engineers have achieved a significant efficiency boost in a light-harvesting system, using genetically engineered viruses to achieve higher efficiency in transporting energy from receptors to reaction centers where it can be harnessed, making use of the exotic effects of quantum mechanics. Emulating photosynthesis in nature, it could lead to inexpensive and efficient solar cells or light-driven catalysis,
This achievement in coupling quantum research and genetic manipulation, described this week in the journal Nature Materials, was the work of MIT professors Angela Belcher, an expert on engineering viruses to carry out energy-related tasks, and Seth Lloyd, an expert on quantum theory and its potential applications, and 15 collaborators at MIT and in Italy.
“Tens of billions of dollars have been spent in the past 60 years, entire careers have been invested, but the ability to produce a commercially viable nuclear fusion reactor remains undemonstrated.”
For 60 years the world’s been waiting for cheap, clean, safe, sustainable power from nuclear fusion. Are we there yet?
Tesla’s new autopilot system is relying on the cutting edge of machine learning, connectivity and mapping data.
While Tesla’s new hands-free driving is drawing a lot of interest this week, it’s the technology behind-the-scenes of the company’s newly-enabled autopilot service that should be getting more attention.
At an event on Wednesday Tesla’s CEO Elon Musk explained that the company’s new autopilot service is constantly learning and improving thanks to machine learning algorithms, the car’s wireless connection, and detailed mapping and sensor data that Tesla collects.
“The world is facing some huge problems. There’s a lot of talk about how to solve them. But talk doesn’t reduce pollution, or grow food, or heal the sick. That takes doing. This film is the story about a group of doers, the elegantly simple inventions they have made to change the lives of billions of people, and the unconventional billionaire spearheading the project.”
Nature has had billions of years to perfect photosynthesis, which directly or indirectly supports virtually all life on Earth. In that time, the process has achieved almost 100 percent efficiency in transporting the energy of sunlight from receptors to reaction centers where it can be harnessed—a performance vastly better than even the best solar cells.
One way plants achieve this efficiency is by making use of the exotic effects of quantum mechanics—effects sometimes known as “quantum weirdness.” These effects, which include the ability of a particle to exist in more than one place at a time, have now been used by engineers at MIT to achieve a significant efficiency boost in a light-harvesting system.
Surprisingly, the MIT researchers achieved this new approach to solar energy not with high-tech materials or microchips—but by using genetically engineered viruses.
Self-driving cars require an incredible amount of information to operate safely. Tesla and Elon Musk know this well.
Tesla Motors formally launched its long-awaited Autopilot feature on Wednesday, which is not quite a self-driving car, but rather a higher degree of autonomy. One of the new features of Autopilot: Tesla is creating high-precision digital maps of the Earth using GPS.
