Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Mar 01, 2021
Artificial Intelligence for Language Translation?

Artificial Intelligence for Language Translation?

Researchers are using artificial intelligence in new, creative ways. Some use cases – predicting earthquakes, recognizing objects, and comparing medical scans, for example – offer tantalizing glimpses of a promising future. Language translation has long been considered a natural application for AI, but processes are ripe for improvement. Now, MIT researchers have announced an “unsupervised” language translation model whose early returns signal a future with “faster, more efficient computer-based translations of far more languages.”

Most widely-used translation programs (like Google’s) learn via models. These programs are trained to “look for patterns in millions of documents – such as legal and political documents, or news articles” that have been translated from one language to another by humans. Once they identify a new word in one language, they can find its match in a different language through pattern analysis.

This approach, however, is labor intensive and inefficient – partially due to its reliance on specific translations from one language to another to accurately translate words. New “monolingual” models have attempted to rectify these issues by translating “without direct translational information between the two,” but are slow and require significant computing power to work.

To combat these pain points, MIT researchers with the Computer Science and Artificial Intelligence Laboratory (CSAIL) developed a new technique. By employing a statistical metric commonly used for pixel alignment called the Gromov-Wasserstein distance – which “essentially measures distances between points in one computational space and matches them to similarly distanced points in another space” – in conjunction with a vectorized system called “word embeddings”, where “words of similar meanings [are] clustered closer together,” researchers were able to create a system that can deduce likely direct translations via the relative distances of words within each vector. 

Using relational distances negates the time-consuming, laborious process of creating perfect word alignments. Gromov-Wasserstein is “tailor-made” for this purpose, said CSAIL Ph.D. student David Alvarez-Melis, who was the first author of the paper presenting the findings. “If there are points, or words, that are close together in one space, Gromov-Wasserstein is automatically going to try to find the corresponding cluster of points in the other space,” explained Alvarez-Melis.

Alvarez-Melis used months of the year as an example: despite differences between languages, the MIT-developed model “would see a cluster of 12 vectors that are clustered in one embedding and a remarkably similar cluster in the other embedding.” That alignment – “The model doesn’t know these are months,” clarified Alvarez-Melis – allows for simultaneous alignment of an entire vector space.

The result is accuracy on par with or exceeding existing monolingual models, but with greater speed and significantly less operating power. It’s a tremendously exciting step towards the goal of truly unsupervised word alignment, and another example of the power of AI being fine-tuned and deployed in new, creative, and useful ways.

If You’re Wondering When A.I. Will Start Making Market Predictions…

Guess what – it already is. Hedge funds and large institutional investors have been using Artificial Intelligence to analyze large data sets for investment opportunities, and they have also unleashed A.I. on charts to discover patterns and trends. Not only can the A.I. scan thousands of individual securities and cryptocurrencies for patterns and trends, and it generates trade ideas based on what it finds. Hedge funds have had a leg-up on the retail investor for some time now.

Not anymore. Tickeron has launched a new investment platform, and it is designed to give retail investors access to sophisticated AI for a multitude of functions:

And much more. No longer is AI just confined to the biggest hedge funds in the world. It can now be accessed by everyday investors. Learn how on Tickeron.com.

Related Tickers: GOOGL
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Mar 07, 2021
4 Tricks Hedge Funds Use to Get Ahead

4 Tricks Hedge Funds Use to Get Ahead

If the stock market were Major League Baseball, hedge funds and institutional investors would be the pros on championship teams while everyday self-directed investors (SDIs) are the benchwarmers in the minors.It’s how they get ahead, and it’s why 90% of SDIs lose money trying to play (invest and trade) in the major leagues. The 4 tricks we discuss below are rooted in one common theme: they all use Artificial Intelligence and algorithms to generate data and ideas.
John Jacques's Avatar
John Jacques
published in Blogs
Mar 22, 2018
A.I. Stock Market Predictions: Head & Shoulders

A.I. Stock Market Predictions: Head & Shoulders

Statistics for the Head-and-Shoulders Bottom Pattern The days where only hedge funds used algorithms to trade stocks are officially over. Now retail investors can use Artificial Intelligence (A.I.  Here’s an example of the algorithm in action: Late last year, Tickeron’s A.I.
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Jul 10, 2020
3 Stocks to Buy if Coronavirus Second Wave Hits

3 Stocks to Buy if Coronavirus Second Wave Hits

By analyzing market trends from the first wave, you can predict behavior for the second. Technology stocks have performed at historic levels this year, but the market is severely overbought.To compensate for that, look at performance during Q1 and Q2, the height of global Covid shutdowns.
Edward Flores's Avatar
Edward Flores
published in Blogs
Feb 06, 2021
How to Become the Millionaire Next Door

How to Become the Millionaire Next Door

The Golden Gate Bridge is always a fixture of these walks too, one of man's most beautiful creations.  As we were walking, at one point she turned to me and said, "Man, I'll never have a million dollars."" My girlfriend is 27 years old and works as a graphic designer, making about $75,000 a year.
Alla Petriaieva's Avatar
Alla Petriaieva
published in Blogs
Feb 23, 2021
Is Ethereum’s Bomb about to Explode?

Is Ethereum’s Bomb about to Explode?

Ethereum’s software is set for an update in October.Until it is finished, participants in the Ethereum blockchain must determine how to delay the difficulty bomb – code that necessitates a steadily increasing amount of computer power to mine blocks and unlock rewards – that is already in place.
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Aug 07, 2018
When Is the Next Recession Coming?

When Is the Next Recession Coming?

However, we also know that economists predicted 22 recessions out of 11 that took place since 1945. Are there real recession signs we should watch for?Indeed, the answer is yes, and here are a few very important ones: The first one is almost obvious and known to everyone – it is the Fed.
Abhoy Sarkar's Avatar
Abhoy Sarkar
published in Blogs
May 22, 2020
Central banks have been buying $2.4 billion in assets every hour for the past two months

Central banks have been buying $2.4 billion in assets every hour for the past two months

Some $17.8 billion has been poured into  bond markets over the past week, the biggest move in more than three months.Around $3.5 billion has been invested into gold, the second largest on record. 
Rick Pendergraft's Avatar
Rick Pendergraft
published in Blogs
Feb 07, 2021
Mid-January Short Interest Report Shows 8 Stocks with Good Fundamentals and High Short Interest
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Mar 10, 2021
How to Start Trading Penny Stocks

How to Start Trading Penny Stocks

Penny stocks have long been marginalized within the professional investment community, oftentimes being painted with a broad brush of simply being “too risky.” Leonardo DiCaprio’s depiction of the penny stock peddling conman, Jordan Belfort, in the Wolf of Wall Street certainly didn’t help.Here are four reasons to start trading them now. Reason #1: Let’s State the Obvious -- Penny Stocks are Cheap A single share of Apple Inc. costs over $350.
Abhoy Sarkar's Avatar
Abhoy Sarkar
published in Blogs
May 08, 2020
US unemployment rate jumps to 14.7%, the highest in series history

US unemployment rate jumps to 14.7%, the highest in series history

The U.S. economy’s employment fell by -20.5 million in April. The coronavirus crisis led to unemployment rate soaring to 14.7% in the U.S, the highest rate in the Bureau of Labor Statistics-tracked series history that goes back to 1948. However, the figures were better compared to several economists'/analysts' forecasts of 22 million job losses and 16% unemployment rate.  Another unemployment measure that includes those who have stopped looking for work as well as those holding part-time jobs for economic reasons also touched an all-time high of 22.8%.