d******d 发帖数: 6 | |
B*Q 发帖数: 25729 | |
V********u 发帖数: 80 | |
V********u 发帖数: 80 | |
s*****r 发帖数: 43070 | 5 他去搞hardcore的东西比较合适,不适合做应用层,大多数码农job都是做应用 |
l*****r 发帖数: 687 | 6 开撕intel怎么了?不能撕吗?
中国人里就是奴才太多,wangyin这种有个性的太少。 |
d*******t 发帖数: 31 | |
y****2 发帖数: 1017 | |
c****x 发帖数: 6601 | |
c****x 发帖数: 6601 | |
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f*********t 发帖数: 11092 | 11 这个小伙子是人才
年薪45万美元起步
【在 d******d 的大作中提到】 : 看看多久开撕intel
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m********k 发帖数: 1 | 12 Lol 霉滑对霉弟还是要多点敬畏
Pl Indiana 并不是烂校
现在东北大学内一支的pl祖师爷就在indiana
: 咋读了个烂校
【在 B*Q 的大作中提到】 : 咋读了个烂校
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s***h 发帖数: 487 | 13 INTC 的 machine learning 很牛叉么? |
v*******e 发帖数: 11604 | |
B*Q 发帖数: 25729 | |
m********k 发帖数: 1 | 16 哈哈哈他
经常反复打自己脸
不过人家承认自己打自己脸
: 他的大作“为什么我不在乎人工智能”,在哪里呢?拿出来卷
起来!
【在 v*******e 的大作中提到】 : : 他的大作“为什么我不在乎人工智能”,在哪里呢?拿出来卷起来!
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j*****v 发帖数: 7717 | 17 他去哪里都不合适,网红比较适合
【在 s*****r 的大作中提到】 : 他去搞hardcore的东西比较合适,不适合做应用层,大多数码农job都是做应用
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h**c 发帖数: 1979 | |
g******t 发帖数: 11249 | 19 美国的小学校经常藏龙卧虎
【在 m********k 的大作中提到】 : Lol 霉滑对霉弟还是要多点敬畏 : Pl Indiana 并不是烂校 : 现在东北大学内一支的pl祖师爷就在indiana : : : 咋读了个烂校 :
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t*****a 发帖数: 5180 | 20 intel这种米疣咖喱垃圾公司,已经被三星扔下马车甩开10条大街了。
【在 l*****r 的大作中提到】 : 开撕intel怎么了?不能撕吗? : 中国人里就是奴才太多,wangyin这种有个性的太少。
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M***6 发帖数: 895 | 21 说明他又有了新的认识。总比跟风说AI好的人强。
【在 m********k 的大作中提到】 : 哈哈哈他 : 经常反复打自己脸 : 不过人家承认自己打自己脸 : : : 他的大作“为什么我不在乎人工智能”,在哪里呢?拿出来卷 : 起来! :
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d*****u 发帖数: 17243 | 22 Machine learning engineer...
这就是调参数的 |
d***u 发帖数: 943 | 23
他适合做语言和编译理论,系统实现是个耐性活,他看不上眼也干不了。
他要做的ML更多是实现调试,哥预测不出半年开骂INTEL和ML。
【在 d******d 的大作中提到】 : 看看多久开撕intel
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o***o 发帖数: 194 | 24 AI就是泡沫,非常不堪
他是为钱低头,博客说的没问题
: 说明他又有了新的认识。总比跟风说AI好的人强。
【在 M***6 的大作中提到】 : 说明他又有了新的认识。总比跟风说AI好的人强。
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d***u 发帖数: 943 | 25
你没文化的老莫不懂不要乱说,AI的意义再强调都不过分,是新一轮的工业革命。
不要看到堆上去的钱就XMJDH,钱这个东西实际上没啥用。
【在 o***o 的大作中提到】 : AI就是泡沫,非常不堪 : 他是为钱低头,博客说的没问题 : : : 说明他又有了新的认识。总比跟风说AI好的人强。 :
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l****o 发帖数: 5435 | 26 嗯。非常看好他
【在 o***o 的大作中提到】 : AI就是泡沫,非常不堪 : 他是为钱低头,博客说的没问题 : : : 说明他又有了新的认识。总比跟风说AI好的人强。 :
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o***o 发帖数: 194 | 27 我劳模是天生的科学材料
你们码农一点科学素养没有,胡吹自己做不出的东西
我劳模三分钟就能看出毛病,这就是有科学素养和没有的区别
: 你没文化的老莫不懂不要乱说,AI的意义再强调都不过分,是新一轮的工业革命。
: 不要看到堆上去的钱就XMJDH,钱这个东西实际上没啥用。
【在 d***u 的大作中提到】 : : 你没文化的老莫不懂不要乱说,AI的意义再强调都不过分,是新一轮的工业革命。 : 不要看到堆上去的钱就XMJDH,钱这个东西实际上没啥用。
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M*****8 发帖数: 17722 | 28
The fledgling world of AI hedge funds is claiming one of its first
casualties.
Sentient Investment Management is notifying investors of plans to liquidate
the hedge fund it started in late 2016, according to people with knowledge
of the situation. The fund managed less than $100 million and hasn’t made
money this year after gaining 4 percent in 2017, one of the people said.
Sentient, based in San Francisco, used artificial intelligence techniques,
including machine learning and so-called evolutionary algorithms, to trade
stocks globally. It followed a market-neutral strategy in which bets on
rising prices were matched by wagers on falling ones.
Jeff Holman, Sentient’s chief investment officer, declined to comment.
Hedge funds have been exploring AI, upgrading trading technologies and
employing data scientists as the industry confronts years of mediocre
returns. The investments appeared to be paying off -- until now. Before this
year, the Eurekahedge AI Hedge Fund Index gained an average of 10.5 percent
annually since its 2011 inception. This year, the measure of 15 funds is
little changed.
Other funds that say they use AI for trading include Cerebellum Capital,
Acatis Investment GmbH and Man Group Plc’s AHL unit.
Reversal of Fortunes
AI hedge funds are disappointing investors this year
Source: Eurekahedge AI Hedge Fund Index
Note: 2018 returns are through Aug. 31
Read More: Silicon Valley Hedge Fund Takes On Wall Street With AI Trader
Sentient Investment Management grew out of Sentient Technologies Inc., an AI
startup formed by Babak Hodjat and Antoine Blondeau. Before starting the
hedge fund, they spent almost a decade developing an AI system capable of
scouring billions of pieces of data, spotting trends, learning and trading
stocks.
The firm’s team of technology-industry veterans were betting that software
responsible for teaching computers to drive cars, beat the world’s best
poker players and translate languages would give their fund an edge on Wall
Street pros.
Sentient’s hedge fund deployed thousands of computers around the world,
using algorithms to essentially create trillions of virtual traders, which
it called “genes.” These genes were given hypothetical sums to trade in
simulated situations created from historical data. The unsuccessful genes
were discarded, while those that made money were spliced together with
others. Thanks to increases in computing power, Sentient could squeeze 1,800
simulated trading days into a few minutes.
Technology giants including Google kicked off the AI boom several years ago
by showing how a relatively new approach called deep learning could
dramatically improve some software programs and services. Since then,
hundreds of startups have sprouted, AI researchers have been snapped up in
an expensive recruiting frenzy, and the technology has been applied to
multiple fields, including finance, sales, customer service and self-driving
cars.
There’s growing concern, however, among some AI researchers that the
technology may not be reliable enough to tackle real-world challenges, like
autonomous driving or making investment decisions.
Filip Piekniewski, an expert in the AI field, recently predicted the advent
of an “AI Winter,” a period of disillusionment and evaporating funding for
such research. Breakthroughs appear to be slowing and those that do occur
require ever-larger amounts of data and computer power, he said in a blog
post earlier this year.
“Just because you have special tech and AI doesn’t mean you’re off to the
races,” said Vasant Dhar, a professor at New York University who has run
an AI-powered hedge fund for about a decade. “This tech is interesting but
fraught with all kinds of risks.”
https://www.bloomberg.com/technology
【在 d***u 的大作中提到】 : : 你没文化的老莫不懂不要乱说,AI的意义再强调都不过分,是新一轮的工业革命。 : 不要看到堆上去的钱就XMJDH,钱这个东西实际上没啥用。
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e***d 发帖数: 8248 | 29 怎么看出来是调参数的?
还有啥 titles?
【在 d*****u 的大作中提到】 : Machine learning engineer... : 这就是调参数的
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