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Supercomputer with bio-inspired neural network mimicking human brain ready for operation

The SpiNNaker computer is designed to mimic the human brain. | Credit: University of Manchester

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A giant supercomputer built by the University of Manchester is now ready to start running real-time simulations of regions of the brain. Named SpiNNaker (Spiking Neural Network Architecture), this machine operates via a “massively parallel” computing platform, meaning it sends small bits of information to multiple destinations at the same time, just like the brain. The machine took 12 years of construction and over $15 million dollars of investment to complete.

Using an architecture of approximately one million core processors, 7 terabytes of RAM, 57,000 nodes, and a custom interconnect fabric, SpiNNaker is capable of 200 trillion steps per second. For the sake of speed consideration, one of the fastest processors on the market today is the Intel i7, 9th Generation. With 8 cores operating at a maximum of 5 billion steps per second each on a top gaming computer with 32 gigabytes of RAM, the i7 is impressive. However, SpiNNaker’s million-plus cores and 7 terabytes of RAM puts it in an entirely different league altogether. Of course, the supercomputer also needs a decent sized room to hold it, reminiscent of the early days of computing.

As a large-scale biologically-inspired neural network, the machine’s technology can also be directed to research in robotics and computer science. An artificial intelligence robot named SpOmnibot is already using an adapted version of SpiNNaker’s architecture to navigate and interpret objects in its environment. Further, the University’s developers have held several public workshops to teach and assist those interested in using their research in their own projects.

The SpiNNaker computer is designed to mimic the human brain. | Credit: University of Manchester

By understanding how information is processed in the brain, insights can be gained for application-oriented engineering, i.e, biotechnology. This could include things like neuro-medical electronics, bio-sensors, and brain-machine interfaces. In other words, the better scientists can understand how the brain processes information, the better technology can be engineered to work with it.

While a true computer brain model would need a billion core processors running simultaneously, the million boasted by SpiNNaker will still provide significant insight for neuroscience research. Scientists can run large-scale simulations processing to gather more data in real time. Since the computer’s architecture works more like a brain than other computers, the results gathered will be able to provide new insight and a faster rate than before.

 

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Elon Musk

Tesla automotive will be forgotten, but not in a bad way: investor

It’s no secret that Tesla’s automotive division has been its shining star for some time. For years, analysts and investors have focused on the next big project or vehicle release, quarterly delivery frames, and progress in self-driving cars. These have been the big categories of focus, but that will all change soon.

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(Credit: Tesla)

Entrepreneur and Angel investor Jason Calacanis believes that Tesla will one day be only a shade of how it is recognized now, as its automotive side will essentially be forgotten, but not in a bad way.

It’s no secret that Tesla’s automotive division has been its shining star for some time. For years, analysts and investors have focused on the next big project or vehicle release, quarterly delivery frames, and progress in self-driving cars. These have been the big categories of focus, but that will all change soon.

I subscribed to Tesla Full Self-Driving after four free months: here’s why

Eventually, and even now, the focus has been on real-world AI and Robotics, both through the Full Self-Driving and autonomy projects that Tesla has been working on, as well as the Optimus program, which is what Calacanis believes will be the big disruptor of the company’s automotive division.

On the All-In podcast, Calcanis revealed he had visited Tesla’s Optimus lab earlier this month, where he was able to review the Optimus Gen 3 prototype and watch teams of engineers chip away at developing what CEO Elon Musk has said will be the big product that will drive the company even further into the next few decades.

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Calacanis said:

“Nobody will remember that Tesla ever made a car. They will only remember the Optimus.”

He added that Musk “is going to make a billion of those.”

Musk has stated this point himself, too. He at one point said that he predicted that “Optimus will be the biggest product of all-time by far. Nothing will even be close. I think it’ll be 10 times bigger than the next biggest product ever made.”

He has also indicated that he believes 80 percent of Tesla’s value will be Optimus.

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Optimus aims to totally revolutionize the way people live, and Musk has said that working will be optional due to its presence. Tesla’s hopes for Optimus truly show a crystal clear image of the future and what could be possible with humanoid robots and AI.

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Tesla Robotaxi fleet reaches new milestone that should expel common complaint

There have been many complaints in the eight months that the Robotaxi program has been active about ride availability, with many stating that they have been confronted with excessive wait times for a ride, as the fleet was very small at the beginning of its operation.

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Credit: Tesla

Tesla Robotaxi is active in both the Bay Area of California and Austin, Texas, and the fleet has reached a new milestone that should expel a common complaint: lack of availability.

It has now been confirmed by Robotaxi Tracker that the fleet of Tesla’s ride-sharing vehicles has reached 200, with 158 of those being available in the Bay Area and 42 more in Austin. Despite the program first launching in Texas, the company has more vehicles available in California.

The California area of operation is much larger than it is in Texas, and the vehicle fleet is larger because Tesla operates it differently; Safety Monitors sit in the driver’s seat in California while FSD navigates. In Texas, Safety Monitors sit in the passenger’s seat, but will switch seats when routing takes them on the highway.

Tesla has also started testing rides without any Safety Monitors internally.

Tesla Robotaxi goes driverless as Musk confirms Safety Monitor removal testing

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This new milestone confronts a common complaint of Robotaxi riders in Austin and the Bay, which is vehicle availability.

There have been many complaints in the eight months that the Robotaxi program has been active about ride availability, with many stating that they have been confronted with excessive wait times for a ride, as the fleet was very small at the beginning of its operation.

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With that being said, there have been some who have said wait times have improved significantly, especially in the Bay, where the fleet is much larger.

Tesla’s approach to the Robotaxi fleet has been to prioritize safety while also gathering its footing as a ride-hailing platform.

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Of course, there have been and still will be growing pains, but overall, things have gone smoothly, as there have been no major incidents that would derail the company’s ability to continue developing an effective mode of transportation for people in various cities in the U.S.

Tesla plans to expand Robotaxi to more cities this year, including Miami, Las Vegas, and Houston, among several others.

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Elon Musk

Tesla announces closure date on widely controversial Full Self-Driving program

Tesla has said that it will officially bring closure to its free Full Self-Driving transfer program on March 31, 2026, giving owners until the end of the quarter to move their driving suite to another vehicle with no additional cost.

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Credit: Tesla

Tesla has officially announced a closure date for a widely controversial Full Self-Driving program, which has been among the most discussed pieces of the driving suite for years.

The move comes just after the company confirmed it would no longer offer the option to purchase the suite outright, instead opting for a subscription-based platform that will be available in mid-February.

Tesla has said that it will officially bring closure to its free Full Self-Driving transfer program on March 31, 2026, giving owners until the end of the quarter to move their driving suite to another vehicle with no additional cost.

After that date, Tesla owners who purchased the FSD suite outright will have to adopt the exclusive subscription-only program, which will be the only option available after February 14.

CEO Elon Musk announced earlier this month that Tesla would be ending the option to purchase Full Self-Driving outright, but the reasoning for this decision is unknown.

However, there has been a lot of speculation that Tesla could offer a new tiered program, which would potentially lower the price of the suite and increase the take rate.

Tesla is shifting FSD to a subscription-only model, confirms Elon Musk

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Others have mentioned something like a pay-per-mile platform that would charge drivers based on usage, which seems to be advantageous for those who still love to drive their cars but enjoy using FSD for longer trips, as it can take the stress out of driving.

Moving forward, Tesla seems to be taking any strategy it can to increase the number of owners who utilize FSD, especially as it is explicitly mentioned in Musk’s new compensation package, which was approved last year.

Musk is responsible for getting at least 10 million active Full Self-Driving subscriptions in one tranche, while another would require the company to deliver 20 million vehicles cumulatively.

The current FSD take rate is somewhere around 12 percent, as the company revealed during the Q3 2025 Earnings Call. Tesla needs to bump this up considerably, and the move to rid itself of the outright purchase option seems to be a move to get things going in the right direction.

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