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This new Lamborghini concept can tackle sands, soil, and even rocks

Lamborghinis are already marvels of engineering but they become even more so when people decide to upgrade them. This is what designer Michael Hritzkrieg did with this new model called the Lamborghini LMXX2.

You can see from the pictures that it’s got some impressive treads that run all around the car making it clear that it can tackle even the most difficult terrains such as sands, rocks and soil. IE spoke to Hritzkrieg about his innovative design and he surprisingly described it as “a rush job to meet an Instagram competition deadline.”

The competition he is referring to is the AGP Contest on Instagram which asked participants to conceive of a design using the keywords “Desert + Lamborghini + Future”.

Ksh7.8M Electric Car From Jeff Bezos Company Attracts Attention in Kenya

John ClaytonVirtual children, Virtual marriages, Virtual relationships. That’ll keep the human race going and in a great direction as well. Nothing like staying away from reality.

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Adrian ScottConstructing arguments from bad assumptions; there’s no overpopulation now or any time soon amid declining birth rates…

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Omuterema Akhahenda shared a link.

The electric-car revolution has continued to take root in Kenya with the entry of the revered Rivian R-1T pick-up valued at Ksh7.8 million (USD67,000).


Elon Musk Says Tesla’s Total Headcount Will Rise Despite Cuts

Chief Executive Officer Elon Musk said Tesla Inc.’s total headcount will increase, a day after telling employees he plans to reduce salaried staff by 10%.

The number of salaried employees will be “fairly flat” even as overall headcount rises, the billionaire said in a tweet Saturday. Musk had previously told staff that the job cuts won’t apply to those who build cars or battery packs, according to people who received an internal memo Friday.

Biologically plausible spatiotemporal adjustment helps train deep spiking neural networks

Spiking neural networks (SNNs) capture the most important aspects of brain information processing. They are considered a promising approach for next-generation artificial intelligence. However, the biggest problem restricting the development of SNNs is the training algorithm.

To solve this problem, a research team led by Prof. Zeng Yi from the Institute of Automation of the Chinese Academy of Sciences has proposed backpropagation (BP) with biologically plausible spatiotemporal adjustment for training deep spiking .

The associated study was published in Patterns on June 2.