Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Mar 03, 2021
Google's Geoff Hinton on the Future of AI

Google's Geoff Hinton on the Future of AI

Geoff Hinton is a true artificial intelligence lifer. Since receiving his Ph.D. in AI from the University of Edinburgh in 1978, Hinton has spent ample time teaching, researching, and innovating within the field. He is a pioneer of artificial neural networks, which with technological advancements have become not only functional, but vital for major tech companies. Hinton’s company, DNNresearch, was acquired by Google in 2013 after delivering a significant improvement in object recognition accuracy in photos, though neural nets have application in speech recognition, language processing, and more.

With vast experience in the field and an executive position at one of tech’s biggest and most important companies, Hinton is uniquely qualified to discuss the future of AI (as he did recently with Wired). The technology’s recent rise to prominence has brought with it ethical, philosophical, and practical questions. Hinton believes that there “…should be something like a Geneva Convention banning [AI in lethal autonomous weapons], like there is for chemical weapons.” An agreement would then function as a “sort of moral flag post” for nations around the world – whether nations chose to sign or not, people would know where they stand. Hinton was among those who expressed reservations to Google co-founder Sergey Brin about the company’s Pentagon contract related to machine learning with drone imagery (which was completed but not renewed) – the company has since released guidelines on how to use AI, including a “…pledge not to use it in weapons.”

Hinton expressed reservations about dictating how policy should function, calling himself “…an expert on trying to get the technology to work, not an expert on social policy.” But he did say his technical expertise has led him to believe that it “…would be a complete disaster” if regulators forced people to explain the workings of their AI systems, equating it to “…forcing them to make up a story.” Hinton says trust should instead be dictated by performance, with experiments identifying bias or danger.

He predicts machine learning systems will start functioning more like the human brain, using a new kind of computing system that “…[extracts] knowledge quickly using lots of connections.” A UK company called Graphcore is designing a processor that draws weights from a neural net “…in cache on the processor, not in RAM, so they never have to be moved.” Doing so means using less computing energy and increasing the flexibility of the neural net.

Hinton acknowledges the space is not without problems. Hinton is concerned that academic papers, especially those containing potentially revolutionary ideas, are being stymied in a review process dominated by two parties: experienced (but bogged down under paper reviews, or dismissive if they don’t immediately understand an idea) academics, and junior reviewers who lack the understanding to properly engage with certain pieces. He is confident, however, that increased education – already in progress – will correct the “imbalance.”

Hinton is equally assured that AI’s recent ubiquity means fears of a potential ‘AI winter’ – a period where funding slows to a trickle because new milestones are not reached as quickly as anticipated – are unfounded, mentioning that the technology “…drives your cellphone. In the old AI winters, AI wasn't actually part of your everyday life. Now it is.” AI is here to stay – how it improves and is used is being redefined daily.

 

The Investment and Financial Industry Faces the Same A.I.-Driven Evolution

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%.