Brain typing
When you move, sense, speak or do just about anything, your brain generates a specific corresponding pattern of electrical activity. Brain typing under development can use these impulses to restore movement in some who have paralysis, a loss of control of the body caused by an injury to the nerves.
This advanced brain implant can let individuals with impaired limb movement create text using the mind-no hands needed. Such technology could potentially benefit millions of people worldwide who cannot type or speak because of impaired limbs or vocal muscles. But this technique let people generate just 40 characters per minute, far lower than the average keyboard typing speed or roughly 190.
Thus, some scientists have a hesitation about this new research: while restoring communication via written letters is intuitive, it may not be the most efficient efficient means of doing so. “Why not teach the person a new language based on simpler elementary gestures?” One of them asks, “This could both boost the speed of communication and, crucially, decrease the mental effort and attention needed. “
For now, Willett, a research scientist, is focusing on brain typing together with his team. He admits that analyzing what someone intends to say is still a major challenge facing researchers, given that individuals generate speech more quickly than they write or type. “It's been a hard problem to decode speech with enough accuracy and vocabulary size to allow people to have a general conversation.” Willett says. “But we' re now excited that we can decode handwriting very accurately. That is a great breakthrough.”
___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
Why modern music should quieten down
Quietness may be underestimated values in pop music.
In a way, increasing the volume of a song makes biological sense, something the music industry
On the other hand,
So forget the “loudness war”. Manowar
Yours,
Li Hua
“ Humans and machine algorithms (算法) have complementary (互补的) strengths and weaknesses. Each uses different sources of information and strategies to make predictions and decisions, ” said Mark Steyvers, UCI professor of cognitive sciences. “ We show through experiments that humans can improve the predictions of AI even when human accuracy is below that of the AI, and vice versa (反之亦然). This accuracy is higher than combining predictions from two individuals or two AI algorithms. ”
To test the framework, researchers conducted an image classification experiment where human participants and computer algorithms worked separately to correctly identify disorderly pictures of animals and everyday items including chairs, bottles, bicycles and trucks. The human participants ranked their confidence in the accuracy of each image identification as low, medium or high, while the machine classifier generated a continuous score. The results showed large differences in confidence between humans and AI algorithms across images.
“ Human participants were confident that a particular picture contained a chair, for example, while the AI algorithm was confused about the image, ” said Padhraic Smyth, UCI Chancellor’s Professor of computer science. “ Similarly, the AI algorithm was able to confidently provide a label for the object shown, while human participants were unsure if the disorderly picture contained any recognizable object. ”
When predictions and confidence scores from both were combined using the researchers’ new Bayesian framework, the mixed model led to better performance than either human or machine predictions achieved alone.
“ While the past research has demonstrated the benefits of combining machine predictions or combining human predictions, this work shows a new direction in demonstrating the potential of combining human and machine predictions, pointing to new and improved approaches to human-AI cooperation, ” Smyth said.
“ The blend of cognitive science focusing on understanding how humans think and behave and computer science in which technologies are produced will provide further insight into how humans and machines can cooperate to build more accurate artificially intelligent systems, ” the researchers said.
1.Which of the following may the research’s findings agree with?A.Humans have poor performance in making predictions. |
B.Humans and machine algorithms should work together. |
C.Machine algorithms have low accuracy in calculation. |
D.Machine algorithms failed in the classification experiment. |
A.Comparison. | B.Assumption. | C.Giving examples. | D.Analysing reasons. |
A.Difference. | B.Combination. | C.Contradiction. | D.Advantage. |
A.Humans are confident of their predictions |
B.Humans can improve the predictions of AI |
C.Develop mixed human- machine model for smarter AI |
D.Identify the strengths of humans and machine algorithms |
This is Li Hua. I learned from your post that you want to improve your Mandarin.
Beautiful Campus, Better Life
No Guts, No Glory? The Fear and Attraction of Risky Winter Sports
Once I went flying off the side of a mountain on skis. Certainly, I didn’t mean to. Before I
The Winter Olympics are here, and I’ll be astonished with my heart in my mouth, watching ski-jumping and people hurtling downhill at
It
Eric Brymer and Robert Schweitzer asked people who had been doing an extreme sport for many years, to reflect
For me, reading what the research participants said was
I have an almost total lack of mastery of winter sports. The contrast between my enthusiasm and lack of skill
Perhaps the best
A.left | B.hit | C.flew | D.lost |
A.short-lived | B.mind-numbing | C.break-neck | D.long-drawn-out |
A.turns | B.hangs | C.takes | D.bursts |
A.applauded | B.prohibited | C.recommended | D.challenged |
A.interest | B.respect | C.priority | D.price |
A.simple | B.straightforward | C.complicated | D.close |
A.swiftly | B.deeply | C.intensely | D.temporarily |
A.identify | B.dread | C.treasure | D.conduct |
A.experience | B.society | C.fear | D.environment |
A.enlightening | B.distressing | C.entertaining | D.confusing |
A.Hence | B.Furthermore | C.Rather | D.However |
A.scene | B.picture | C.odds | D.straw |
A.stands for | B.accounts for | C.checks out | D.points out |
A.belt | B.helmet | C.protection | D.blade |
A.take-away | B.carry-out | C.take-off | D.try-out |
我眼中的财富 | 至少两点,比如友谊、理想 …… |
拥有它们的意义 | 1. 拥有它们对学习、生活的作用 2. 失去它们对学习、生活的影响 |
获取它们的途径 | (请考生根据自己的经历或感想,提出至少两种做法) |
In our life, we have treasures like money, houses and cars, etc. However, we have a lot more hidden treasures, such as knowledge, health and experiences. As a senior student, I think the most important treasures in our life are
Have a good breakfast!
The English Club