IBM Built an AI Capable of Holding Its Own Against Humans in a Debate

By Joel Hruska 

Over the past few years, AI has gone from a niche topic to an exploding field. AI can improve audio and video quality, animate still images of long-dead people, and identify you from an analprint. One thing it hasn’t been able to do? Argue effectively within the context of a formal debate.

To overcome this problem, IBM created Project Debater, an AI development program focused on exactly what it sounds like. Many AI projects, especially those focusing on gaming, have a clear winner and a loser based on the evaluation of numerical criteria, such as pieces captured, lives lost, or the ratio between kills and deaths. Effectively debating a human requires a vastly different skill set.

A recent paper in Nature describes the results of a 2019 test between Project Debater and globally recognized debate champion Harish Natarajan. The AI and individual debated whether preschool should be subsidized. Each side was given 15 minutes for prep time without additional internet access, which Project Debater used to sort through its own internal database of content. Both sides gave a four-minute speech, followed by a two-minute closing statement.

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OpenAI’s Sam Altman: Artificial Intelligence will generate enough wealth to pay each adult $13,500 a year

Guests have their faces scanned at the World Artificial Intelligence Conference in Shanghai in August, 2019.Hector Retamal | AFP | Getty Images

By Catherine Clifford

Artificial intelligence will create so much wealth that every adult in the United States could be paid $13,500 per year from its windfall as soon as 10 years from now.

So says Sam Altman, co-founder and president of San Francisco-headquartered, artificial intelligence-focused nonprofit OpenAI.

“My work at OpenAI reminds me every day about the magnitude of the socioeconomic change that is coming sooner than most people believe,” Altman, who  posted Tuesday. “Software that can think and learn will do more and more of the work that people now do.”

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Sophia Robot AI to Auction Exclusive NFT Digital Artwork

By Leila Stein 15 Updated by Kyle Baird 

Sophia the Robot has created her own non-fungible token (NFT) digital artwork to be auctioned.

Sophia made the artworks with digital artist Andrea Bonaceto. This makes them the first-ever collaboration between humans and robots. 

An NFT version of the art goes up for sale on the Nifty Gateway marketplace on March 23. 

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Luum’s AI-based Lash Robot can delicately extend eyelashes for customers in beauty salons

By Dean Takahashi

Luum has created an AI-based Lash Robot that can delicately extend eyelashes for customers in beauty salons.

I’ll let you absorb that for a minute. Luum CEO Philippe Sanchez said in an interview with VentureBeat that the lash extension procedure is ideal for robotics because it’s a tedious job for humans, who often have to bend over while adding extensions to each individual lash, which takes a lot of dexterity and concentration over two or three hours.

The Luum robot can do the same procedure — where it grabs someone’s eyelash and adds an extension to it — in under 20 minutes.

“This is a treatment that is semi-permanent that women do once,” Sanchez said. “It takes about two hours to three hours to be applied by a lash expert. And you look very natural and beautiful. And the advantage for a woman is that you do that once. And the whole treatment lasts for about a month or so.”

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Artificial Intelligence Is Guiding Human Return to the Moon

 · By Daniel Patrascu

There is no doubt the only way forward for humanity is to enlist the help of artificial intelligence systems, such as they presently are. They are required, you see, because humans always had a habit of biting off more than they can chew, and engage in audacious projects that are far beyond the capabilities of their brains.

One such project is the Artemis lunar exploration program. Later this year, the first flight in a longer series is set to depart for the Moon with no crew on board to test performance, life support, and communication capabilities.

Then, in 2023, astronauts will head for the Earth satellite, without landing there, followed in 2024 by the Artemis III mission that will actually put human boots on the ground after decades of absence. 

Crucial to the success of the missions is the Orion capsule. Cooked up in the Lockheed Martin laboratories, Orion is the actual spaceship that will ensure astronauts arrive at their destination alive and well, and then back to Earth.

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Intel’s 3D and AI tech now helps train athletes

By Michael Vizard

Intel today revealed that its 3D Athlete Tracking (3DAT) technology is being employed by Exos, a firm that focuses on human performance conditioning, to help train professional athletes aspiring to join the National Football League (NFL) and other organizations.

Intel’s 3DAT technology captures skeletal data when an athlete is sprinting, using a video camera running at 60 frames per second. That data is then analyzed using Intel Deep Learning Boost AI capabilities that have been built into the latest generation of Intel Xeon Scalable processors Intel has deployed in a cloud it manages.

The goal is to make it simpler for coaches and athletes to understand how different types of skeletal structures may give one athlete an edge over another, said Ashton Eaton, two-time Olympic gold medalist in the decathlon and a product development engineer in Intel’s Olympic Technology Group.

“We don’t know why people won or lost,” Eaton said. “There are a lot of unknowns.”

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Sonantic uses AI to infuse emotion in automated speech for game prototypes

By Dean Takahashi

Sonantic has figured out how to use AI to turn written words into spoken dialogue in a script, and it can infuse those words with the proper emotion.

And it turns out this is a pretty good way to prototype the audio storytelling in triple-A video games. That’s why the Sonantic technology is finding use with 200 different video game companies for audio engineering.

The AI can provide true emotional depth to the words, conveying complex human emotions from fear and sadness to joy and surprise. The breakthrough advancement revolutionizes audio engineering capabilities for gaming and film studios, culminating in hyper-realistic, emotionally expressive and controllable artificial voices.

“Our first pilots were for triple-A companies, and then when we started building this,” said cofounder Zeena Qureshi in an interview with GamesBeat. “We went a lot more vertical and deeper into just working very closely with these types of partners. And what we found is the highest quality bar is for these studios. And so it’s really helped us bring our technology into a very great place.”

Building upon the existing framework of text-to-speech, London-based Sonantic’s approach is what differentiates a standard robotic voice from one that sounds genuinely human. Creating that “believability” factor is at the core of Sonantic’s voice platform, which captures the nuances of the human voice.

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Robotic glove which uses AI to improve muscle grip could help millions

A prototype robotic glove for people who struggle with daily tasks

By Sean Morrison

An engineering graduate hopes to aid millions of people after helping create a robotic glove which uses artificial intelligence to boost muscle grip.

Seeing his aunt’s struggles with daily tasks such as drinking water or changing TV channel after loss of movement caused by multiple sclerosis led Ross O’Hanlon, 24, to produce the device.

The glove detects the wearer’s intention to grip by using electromyography (EMG) to measure electrical activity in response to a nerve’s stimulation of the muscle.

It then employs an algorithm to convert the intention into force, helping the user to hold an item or apply the necessary pressure to complete an activity.

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AI Can Now Learn to Manipulate Human Behavior


Artificial intelligence (AI) is learning more about how to work with (and on) humans. A recent study has shown how AI can learn to identify vulnerabilities in human habits and behaviours and use them to influence human decision-making.

It may seem cliched to say AI is transforming every aspect of the way we live and work, but it’s true. Various forms of AI are at work in fields as diverse as vaccine development, environmental management and office administration. And while AI does not possess human-like intelligence and emotions, its capabilities are powerful and rapidly developing.

There’s no need to worry about a machine takeover just yet, but this recent discovery highlights the power of AI and underscores the need for proper governance to prevent misuse.

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DALL·E: Creating Images from Text

We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language.

DALL·E[1] is a 12-billion parameter version of GPT-3 trained to generate images from text descriptions, using a dataset of text–image pairs. We’ve found that it has a diverse set of capabilities, including creating anthropomorphized versions of animals and objects, combining unrelated concepts in plausible ways, rendering text, and applying transformations to existing images.

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Researchers Develop World’s Most Powerful Neuromorphic Processor for AI

ByAlex McFarland


In what is a major leap forward in the field of artificial intelligence (AI), an international team of researchers led by Swinburne University of Technology has developed the world’s most powerful neuromorphic processor for AI. It operates at an astonishing rate of more than 10 trillion operations per second (TeraOps/s), meaning it can process ultra-large-scale data.

The work was published in the journal Nature. 

Led by Swinburne’s Professor David Moss, Dr. Xingyuan Xu, and Distinguished Professor Arnan Mitchell from RMIT University, the team accelerated computing speed and processing power. They were able to create an optical neuromorphic processor capable of operating over 1,000 times faster than any previous ones. The system can also process ultra-large-scale images, which is important for facial recognition as previous optical processors have failed in this regard.

Professor Moss is Director of Swinburne’s Optical Sciences Centre, and he was named a top Australian researcher in physics and mathematics in the field of optics and photonics by The Australian.

“This breakthrough was achieved with ‘optical micro-combs,’ as was our world-record internet data speed reported in May 2020,” he said.

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AI Matches or Beats Human Diagnoses in Award-Winning Study


Denti.AI’s artificial intelligence (AI) software accurately identified pathoses that were missed by board-certified dental experts in an award-winning study by Manal Hamdan, a graduate student at the University of North Carolina Adams School of Dentistry.

Hamdan concluded that Denti.AI’s technology had comparable or improved results in detecting apical radiolucencies and that it has the potential to reduce provider fatigue and diagnostic errors.

The study won the American Academy of Oral and Maxillofacial Radiology’s 2020 Albert G. Richards Graduate Student Research Award.

“Dr. Hamdan’s research is an excellent example of university and business collaboration utilizing experts in radiology, deep learning, and statistical analysis to produce clinically relevant and potentially game changing results validating software that can elevate patient care,” said Dr. Don Tyndall, professor of oral and maxillofacial radiology at the Adams School.

“Our team at Denti.Ai is committed to being at the forefront of implementing artificial intelligence into clinical practices through rigorous academic validation and collaboration with leading academic institutions,” said Dmitry Tuzoff, founder and CEO of Denti.AI.

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