Category: Artificial Intelligence

“Alter 3: Offloaded Agency,” part of the exhibition “AI: More than Human.”

By Jurica Dujmovic

Natural language processing rivals humans’ skills.

I did not write this article. 

In fact, it wasn’t written by any person. Every sentence you see after this introduction is the work of OpenAI’s GPT-3, a powerful language-prediction model capable of composing sequences of coherent text. The only thing I did was provide it with topics to write about. I did not even fix its grammar or spelling.

According to OpenAI, more than 300 applications are using GPT-3, which is part of a field called natural language processing. An average of 4.5 billion words are written per day. Some say the quality of GPT-3’s text is as good as that written by humans.

What follows is GPT-3’s response to topics in general investing.

Continue reading… “Artificial intelligence has advanced so much, it wrote this article”

Holographic display prototype used in the experiments

By  Derya Ozdemir

Not only can this technique run on a smartphone but it also needs less than 1 megabyte of memory.

Virtual reality has been around for decades, and every year, headlines all over the internet announce it to be the next big thing. However, those predictions are yet to become a reality, and VR technologies are far from being widespread. While there are many reasons for that, VR making users feel sick is definitely one of the culprits.

Better 3D visualization could help with that, and now, MIT researchers have developed a new way to produce holograms thanks to a deep learning-based method that works so efficiently that cuts down the computational power need in an instant, according to a press release by the university.

A hologram is an image that resembles a 2D window looking onto a 3D scene, and this 60-year-old technology remade for the digital world can deliver an outstanding image of the 3D world around us.

“People previously thought that with existing consumer-grade hardware, it was impossible to do real-time 3D holography computations,” explains Liang Shi, the study’s lead author and a Ph.D. student in MIT’s Department of Electrical Engineering and Computer Science. “It’s often been said that commercially available holographic displays will be around in 10 years, yet this statement has been around for decades.”

Continue reading… “New AI Technique Can Generate 3D Holograms in Real-Time”

By Kyle Wiggers

By 2025, more than 75% of venture capital and early-stage investor executive reviews will be informed by AI and data analytics. In other words, AI might determine whether a company makes it to a human evaluation at all, de-emphasizing the importance of pitch decks and financials. That’s according to a new whitepaper by Gartner, which predicts that in the next four years, the AI- and data-science-equipped investor will become commonplace.

Increased advanced analytics capabilities are shifting the early-stage venture investing strategy away from “gut feel” and qualitative decision-making to a “platform-based” quantitative process, according to Gartner senior research director Patrick Stakenas. Stakenas says data gathered from sources like LinkedIn, PitchBook, Crunchbase, and Owler, along with third-party data marketplaces, will be leveraged alongside diverse past and current investments.

“This data is increasingly being used to build sophisticated models that can better determine the viability, strategy, and potential outcome of an investment in a short amount of time. Questions such as when to invest, where to invest, and how much to invest are becoming almost automated,” Stakenas said. “The personality traits and work patterns required for success will be quantified in the same manner that the product and its use in the market, market size, and financial details are currently measured. AI tools will be used to determine how likely a leadership team is to succeed based on employment history, field expertise, and previous business success.”

Continue reading… “Gartner: 75% of VCs will use AI to make investment decisions by 2025”

THERE ARE NATIONAL SECURITY AND PRIVACY IMPLICATIONS TO AN EXPERIMENTAL UK NEURAL NETWORK THAT DECIPHERS HOW PEOPLE RESPOND TO EMOTIONAL STIMULI.

By PATRICK TUCKER 

Picture: military interrogators are talking to a local man they suspect of helping to emplace roadside bombs. The man denies it, even as they show him photos of his purported accomplices. But an antenna in the interrogation room is detecting the man’s heartbeat as he looks at the pictures. The data is fed to an AI, which concludes that his emotions do not match his words…

A UK research team is using radio waves to pick up subtle changes in heart rhythm and then, using an advanced AI called a neural network, understand what those signals mean — in other words, what the subject is feeling. It’s a breakthrough that one day might help, say, human-intelligence analysts in Afghanistan figure out who represents an insider threat.

The paper from a team out of Queen Mary University of London and published in the online journal PLOS ONE, demonstrates how to apply a neural network to decipher emotions gathered with transmitting radio antenna. A neural network functions in a manner somewhat similar to a human brain, with cells creating links to other cells in patterns that create memory, as opposed to more conventional methods such as machine learning, which employ straightforward statistical methods on data sets. 

Continue reading… “New AI Can Detect Emotion With Radio Waves”

by Fraunhofer-Gesellschaft

The growth in the number of cars parked in urban areas has a major impact on public space. One key consequence of this is that parking availability is less predictable, both in downtown and in quieter, residential areas, where people are having to spend more and more time looking for a free space. One remedy is to create a residential parking zone. To justify this measure, however, a municipality must first commission reports and carry out a survey of parking availability, both of which take time and cost money. To reduce this effort, the Fraunhofer Institute for Industrial Engineering IAO is now exploring the use of AI to analyze the demand for parking space. This pilot project is running in partnership with the City of Karlsruhe and is being conducted by the Research and Innovation Center for Cognitive Service Systems (KODIS), a branch of Fraunhofer IAO.

Continue reading… “Using AI to measure the demand for parking space”

_{But is superintelligent AI really possible? Some experts are skeptical}   

From the media release for a recent paper:

The idea of artificial intelligence overthrowing humankind has been talked about for many decades, and scientists have just delivered their verdict on whether we’d be able to control a high-level computer super-intelligence. The answer? Almost definitely not.

The catch is that controlling a super-intelligence far beyond human comprehension would require a simulation of that super-intelligence which we can analyse. But if we’re unable to comprehend it, it’s impossible to create such a simulation. 

DAVID NIELD, “CALCULATIONS SHOW IT’LL BE IMPOSSIBLE TO CONTROL A SUPER-INTELLIGENT AI” AT SCIENCE ALERT THE OPEN ACCESS RESEARCH STUDY IS HERE.

First, the idea that machines can design smarter machines should be treated with skepticism: maybe we are looking at a Robogeddon that can’t happen and a crowd of experts who need it to.

Continue reading… “RESEARCHERS: IT WOULD BE IMPOSSIBLE TO CONTROL SUPER AI”