Inteligencia Artificial

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Re: Inteligencia Artificial

Mensajepor Dalamar » 12 Feb 2017 18:13

Goldman Sach's New York headquarters has replaced 600 of its traders with 200 computer engineers over the last two decades or so, thanks to automated trading programs. (Though, the effort to do so has accelerated over the past five years.) "Marty Chavez, the company's deputy chief financial officer and former chief information officer, explained all this to attendees at a symposium on computer's impact on economic activity held by Harvard's Institute for Applied Computational Science last month," reports MIT Technology Review. From their report:

The experience of its New York traders is just one early example of a transformation of Goldman Sachs, and increasingly other Wall Street firms, that began with the rise in computerized trading, but has accelerated over the past five years, moving into more fields of finance that humans once dominated. Chavez, who will become chief financial officer in April, says areas of trading like currencies and even parts of business lines like investment banking are moving in the same automated direction that equities have already traveled. Today, nearly 45 percent of trading is done electronically, according to Coalition, a U.K. firm that tracks the industry. In addition to back-office clerical workers, on Wall Street machines are replacing a lot of highly paid people, too. Complex trading algorithms, some with machine-learning capabilities, first replaced trades where the price of what's being sold was easy to determine on the market, including the stocks traded by Goldman's old 600. Now areas of trading like currencies and futures, which are not traded on a stock exchange like the New York Stock Exchange but rather have prices that fluctuate, are coming in for more automation as well. To execute these trades, algorithms are being designed to emulate as closely as possible what a human trader would do, explains Coalition's Shahani. Goldman Sachs has already begun to automate currency trading, and has found consistently that four traders can be replaced by one computer engineer, Chavez said at the Harvard conference. Some 9,000 people, about one-third of Goldman's staff, are computer engineers.
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Re: Inteligencia Artificial

Mensajepor Dalamar » 29 Mar 2017 19:22

DARPA is one of the most interesting US agencies. It’s dedicated to funding ‘crazy’ projects – ideas that are completely outside the accepted norms and paradigms. It should could as no surprise that DARPA contributed to the establishment of the early internet and the Global Positioning System (GPS), as well as a flurry of other bizarre concepts, such as legged robots, prediction markets, and even self-assembling work tools. Ever since DARPA was first founded, it focused on moonshots and breakthrough initiatives, so it should come as no surprise that it’s also focusing on AI at the moment.
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Re: Inteligencia Artificial

Mensajepor Dalamar » 07 Abr 2017 12:58

Esto va muy rapido...

Last week, we covered recent advancements made by the OpenAI group in creating reinforcement algorithms that led to grounded, compositional language use by an AI. Now Baidu has weighed in with their own advances on a similar front, in which an artificial agent was taught English by a “virtual teacher” and thereafter could understand written commands and apply them in a video game setting. This allowed the Baidu AI to achieve what’s called zero shot learning — the ability to solve a learning task without having received any previous examples of solving such a task, something that has remained elusive for AIs up to this point.

Given the pace of these achievements (two in as many weeks!) it could be a lot sooner than many skeptics believe that we can achieve AI with strong natural language usage. Make no mistake: such an AI could pass a Turing test and house a Joycean virtual machine with a center of narrative gravity of the type elucidated by Daniel Dennet in Consciousness Explained. It’s none too early to talk seriously about the laws and rights governing machine consciousness and their implications for humanity once achieved.

AI Learns to Read Sentiment Without Being Trained to Do So: OpenAI researchers surprised to discover a neural network trained to predict the next text character in Amazon reviews taught itself to analyze sentiment

https://futurism.com/ai-learns-to-read- ... -to-do-so/
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Re: Inteligencia Artificial

Mensajepor Dalamar » 08 Abr 2017 07:07

https://research.googleblog.com/2017/04 ... e.html?m=1

Federated Learning: Collaborative Machine Learning without Centralized Training Data


Ahora van a usar tu movil para entrenar sus redes neuronales y ahorrar costes... (No, en IA no se ahorran costes, se progresa mas rapido, es la gran carrera por el poder!) A pesar de que sus nuevos chips de inteligencia artificial (TFU), son 30 veces mas rapidos que las GPUs convencionales.

Ver: https://fossbytes.com/googles-home-made ... -and-gpus/

Google’s First Machine Learning Chip (TPU) Is 30x Faster Than CPUs And GPUs


La IA progresa de forma exponencial... preparense...
Adjuntos
Google-TPU1-640x360.jpg
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Re: Inteligencia Artificial

Mensajepor Dalamar » 21 Abr 2017 07:41

A Google le crecen los enanos, los expertos se le van... entre Uber y esto....
Google has slowly been pulling back the curtain on homegrown silicon that could define the future of machine learning and artificial intelligence.

Some key creators of that project -- the Tensor Processing Unit, or TPU -- recently left to team up with Chamath Palihapitiya, one of Silicon Valley's most prominent and outspoken young venture investors, on a stealth start-up.

Groq Inc. is the name of the company, at least for the time being.

There's no website and no promotional materials. All that exists online are a couple SEC filings from October and December showing that the company raised $10.3 million, and an incorporation filing in the state of Delaware on September 12.

"We're really excited about Groq," Palihapitiya wrote in an e-mail. "It's too early to talk specifics, but we think what they're building could become a fundamental building block for the next generation of computing."

Groq names three principals in the SEC documents: Jonathan Ross, who helped invent the TPU, Douglas Wightman, an entrepreneur and former engineer at the Google X "moonshot factory" and Palihapitiya, the founder of investment firm Social Capital. The listed address is Social Capital's headquarters.
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Re: Inteligencia Artificial

Mensajepor Dalamar » 18 May 2017 16:34

Esto va muy rapido...

Elon Musk co-founded artificial intelligence non-profit OpenAI just announced it has created an AI system that can learn to complete a task in reality after watching just one demonstration of that task in a simulated environment.

If imitation is the sincerest form of flattery, OpenAI’s newest robot system should leave humanity blushing. Not only can it successfully replicate human behaviors, it can do so after just a single demonstration of the task.

The research company co-founded and chaired by Elon Musk used two separate neural networks to develop its one-shot imitation learning system.

The first, a vision network, analyzes an image from the robot’s camera to determine the location of objects in reality (in OpenAI’s video example, these objects are blocks of wood on a table). The network is able to do this despite never having seen the actual table or blocks before. Instead, the researchers trained it using hundreds of thousands of simulated images, each featuring various permutations of lighting, textures, and objects.

The second, an imitation network, determines the intent of a task it observes a human demonstrating via a virtual simulation. It then imitates the task in the real-world setting. Again, this network was trained on thousands of virtual demonstrations, but none that took place in reality.

By the time the system was called upon to imitate a simulated demonstration, in reality, it could do so after viewing the demonstration only once. Even more remarkably, the system was able to complete the task even if the starting parameters didn’t quite match up. For example, the blocks didn’t need to be in the exact same location as the demonstration for the system to know how to stack them. If a blue block went on top of a white block in the demonstration, the system replicated that task, even if the starting locations of the blocks wasn’t identical.
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