AI News, *RE artificial intelligence

Here’s How Much Companies Are Spending on Artificial Intelligence: Eye on A.I.

Some companies are spending over $5 million on artificial-intelligence projects, showing just how serious businesses are getting about the cutting-edge technology.

The finding comes from a recent survey of over 300 companies by Figure Eight, a business that was recently acquired by data company Appen that helps customers label their data.

Although the survey didn’t get into how that money is being spent, Figure Eight vice president of marketing Sid Mistry speculates that the budgets include capturing and labeling data, building and running machine-learning models, and then improving the models’ performance over time.

Artificial intelligence experts briefed members of the House Intelligence Committee last week about the dangers of deepfake videos that  look real but are heavily altered by computers to show people saying things they never said.

researcher at Google, describes the fallacy of thinking that deep learning by itself will lead to computers that think like humans, otherwise known as artificial general intelligence (AGI).

He writes on Twitter: “Looking at what you can do with deep learning today and thinking “let’s scale this up to AGI” is basically the equivalent of watching a magic trick and thinking ‘wow magic is real!

im gonna start a magic company that uses magic spells to generate infinite value.’” Wells Fargo picked Debra Chrapaty to be the banking giant’s chief technology officer.

Facebook researchers published a paper detailing how image-recognition tools from companies like Microsoft, IBM, Google, and Amazon fail more often when examining objects in pictures from low-income households in countries outside the U.S. In one example, the researchers found the image-recognition tools failed to recognize toothbrushes in photos of taken in households without bathrooms.

Researchers from Intel published a paper about using deep learning in video-conferencing systems to automatically alter people’s eyes so that they appear to be staring at their computer cameras instead of their computer monitors.

Artificial Intelligence in Finance - Event News | CCH Tagetik

Let’s discover the world of 20XX and how you can use your organisations’ data and modern AI to get high quality predictive insights.  In a vivid and instructive presentation, Stéphane Mallard, provides a base on the fundamentals of digital disruption concentrating on AI, the accelerating speed of technological change, the commodification of knowledge and expertise (and the impact thereof on business strategy), and how your business can learn to disrupt like the most disruptive enterprises.

Artificial intelligence reinforces power and privilege

What do a Yemeni refugee in the queue for food aid, a checkout worker in a British supermarket and a depressed university student have in common?

Advanced nations and the world's biggest companies have thrown billions of dollars behind AI - a set of computing practices, including machine learning that collate masses of our data, analyse it, and use it to predict what we would do.

In our interview, he recalled years of debate with Minsky about whether AI was real or a myth: 'At one point, [Minsky] said to me, 'Look, whatever you think about this, just play along, because it gets us funding, this'll be great.' And it's true, you know ...

And if you went into the funders and you said, 'We're going to make these machines smarter than people some day and whoever isn't on that ride is going to get left behind and big time.

During President Barack Obama's drone wars, suspicion didn't even need to be personal - in a 'signature strike', it could be a nameless profile, generated by an algorithm, analysing where you went and who you talked to on your mobile phone.

Now a similar logic pervades the modern marketplace, the sense that total certainty and zero risk - that is, zero risk for the class of people Lanier describes as 'closest to the biggest computer' - is achievable and desirable.

Credit agencies and insurers want to build a better profile to understand whether you might get heart disease, or drop out of work, or fall behind on payments.

This originally meant that the skills and advantages of connected citizens in rich nations would massively outrun poorer citizens without computers and the Internet.

This drove policies like One Laptop Per Child - and it drives newer ones, like Digital ID, the aim to give everyone on Earth a unique identity, in the name of economic participation.

We can do better than to split society into those who can afford privacy and personal human assessment - and everyone else, who gets number-crunched, tagged, and sorted.

Unless we head off what Shoshana Zuboff calls 'the substitution of computation for politics' - where decisions are taken outside of a democratic contest, in the grey zone of prediction, scoring, and automation - we risk losing control over our values.

How Artificial Intelligence Is Impacting Our Everyday Lives

There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives.

In this article, I’ll show you examples how artificial intelligence is used in day-to-day activities such as: Artificial intelligence makes it easier for users to locate and communicate with friends and business associates.

From tweet recommendations to fighting inappropriate or racist content and enhancing the user experience, Twitter has begun to use artificial intelligence behind the scenes to enhance their product.

Deep learning is helping Facebook draw value from a larger portion of its unstructured datasets created by almost 2 billion people updating their statuses 293,000 times per minute.

As the amount of content grows in the platform, artificial intelligence is critical to be able to show users of the platform information they might like, fight spam and enhance the user experience.

Technology company Nvidia uses AI to give cars “the power to see, think, and learn, so they can navigate a nearly infinite range of possible driving scenarios,” .

For example, if you send an email to someone about an upcoming game and they reply to let you know that they interested in going to the game, Gmail offers “smart reply” options.

Their filters attempt to sort emails into the following categories: The program helps your emails get organized so you can find your way to important communications quicker.

For example, a search of “what are neural networks and how are they related to synapses” offers Google’s choice of “best answer” highlighted at the top, followed by a list of sources that answer the question.

A 2015 survey of airline Boeing 777 pilots reported spending only 7 minutes manually flying the plane during a typical flight, with much of the rest being done by AI technology.

Artificial Intelligence makes our lives more efficient every day AI powers many programs and services that help us do everyday things such as connecting with friends, using an email program, or using a ride-share service.