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A major blow to the head, due to a car crash, for example, can result in a traumatic brain injury (TBI). In mild cases, this may temporarily affect someone’s brain cells, but in more severe incidents, the individual can have long-term emotional, physical, cognitive and behavioural impairments.
“One of the major problems is that there really are no effective therapies for traumatic brain injury,” says Jaimie Henderson at Stanford University in California.
In an attempt to combat this, Henderson and his colleagues developed an implant that could stimulate the thalamus – a region deep in the brain that is linked to alertness, learning and memory – to see if this could revive cognitive functions in those with TBI.
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Conder
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the para
You know how cars have huge wiring harnesses?
That's because each component needs its own set of wires, connected to the central ECUs, in order to function.
Every speaker, every switch, every sensor, every actuator, every button.
Tesla threw out that entire system for Cybertruck.
Instead, they're running gigabit ethernet cabling with a 48v power + data CAN bus to every component— all on the same cable.
Instead of running one wiring harness to the driver door speaker, and another to the driver's door window motor, they can daisy-chain them together on the same self-contained cable interface. Your computer could connect to your door handle using the *same* wire that's already been through your speaker, window, ambient lights, and steering wheel.
Each of those devices/components listen to the continuous stream of data for a command relevant to its operation.
By doing this,Tesla was able to reduce the total wiring in the Cybertruck by 77%, using 1/2 the copper.
fr. tesla X account
also i just read some critical content this morning about Cybertruck, like driving experience exceeding gimmicks
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http://localhost:3000/?code=AQCJhell15Xs_xLCb5O6qhAKQv-ArXpGyXElgk4cwtss6fYQ_mTAWfRsSsXkb66fBjl58s7OrrHc0I2nhYfCWl09mJb3bhpZ-XUTXfl7umYQmyvMKCQmvoOXOd4ecvmHAQaP_W5IBCPdMgTWNUpcCoLiL_qJaGD7e-tcH-ReSOvIv8L7yQ7emnhkrSlEQckrxmYcRFdD
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double descent 双下降
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havard university and openai
我们通过定义一个心得复杂性度量来同一上述现象，称之为有效模型复杂性（effective model complexity）
mainx contibutions, we show that double descent is a robust phenomenon that occurs ina variety of tasks, architectures and optimization methods
EMC
We define the effective model complexity (EMC) of a training procedure as the maximum number of samples on which it can achieve close to zero training error. The EMC depends not just on the data distribution and the architecture of the classifier but also on the training procedure—and in particular increasing training time will increase the EMC.
Definition 1 (Effective Model Complexity) The Effective Model Complexity (EMC) of a training procedure T , with respect to distribution D and parameter > 0, is defined as:
where is the mean error of model M on train samples S.
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