It’s easy to edit video of public figures to make them appear asleep, confused, drunk or cognitively impaired when they are not. The technique is being used to undermine Joe Biden’s campaign.
A colored electron microscope image of MRSA.
NIH - NIAID/flickr
Pathogens rapidly evolve resistance to antibiotics. AI could keep us a step ahead of deadly infections.
Monaco and Japan have some of the highest life expectancies in the world. But calculating an individual’s life expectancy will require taking data analysis several steps further.
SHUTTERSTOCK
Predicting life expectancy remains in the realm of science fiction, but it may soon be possible. Are we prepared for such information? And who else would benefit from this knowledge?
As machine learning progresses, its applications include faster, more accurate medical diagnoses.
Shutterstock
Why are three-pointer shots from the corner more efficient than the ones above the break? The answer: More than 90 percent of corner three-point shots are assisted.
Artificial intelligence tutoring systems can engage students in dialogue.
(Shutterstock)
Robots for tutoring? The desire to keep pace with technological change should not eclipse larger questions about how children’s development is impacted.
In today’s competitive environment, innovation is indispensable, but it is not enough.
Maxpixel
AlphaZero is a machine capable of defeating the most complex board games for the human mind, based only on its own learning experience, not on accumulated human knowledge.
Artificial intelligence techniques like deep learning and reinforcement learning are getting increasingly advanced and capable of helping people with a wide range of complex tasks.
What does AI see in this picture?
NIH Image Gallery
With artificial intelligence, machines can now examine thousands of medical images for signs of disease. Will this technology replace doctors – or work side by side with them?
AI chatbots still struggle to understand the impact of their words.
(Shutterstock)
The chatbot industry sees more data as the answer to building a truly conversational system. But the industry may be teaching chatbots the wrong thing.
Computers today are fast and powerful but they still can’t think like a human when it comes to some tasks we find easy. That’s why tech companies are turning to neuroscience for help.
Smart machines are about to usher in the age of Industry 4.0.
One down, two to go: Google’s artificial intelligence program AlphaGo wins the first game of Go against Chinese grandmaster player Ke Jie, in May 2017.
EPA/Wu Hong
While there is currently interest interest in artificial intelligence, it offers limited achievements, such as the autonomous car. Tomorrow, machines will learn alone and forge solutions.
Important advances have been made in the areas of automatic language processing and emotional computing, and that could have big implications for business.
Born in the 1950s, the concept of an artificial neural network has progressed considerably. Today, known as “deep learning”, its uses have expanded to many areas, including finance.
Self-driving cars need to ‘see’ what’s going on around them.
Intel/Mobileye
For a driverless car to be safer than one driven by a person it must know what’s going on around it. But making a system that can “see” is a challenge for tech companies.