In the not-so-distant future, we will witness a veritable revolution when it comes to Artificial Intelligence (AI). In fact, today’s AI research is already yielding some astounding breakthroughs that could potentially alter our world forever. Here are just five of them – brace yourself!

DeepMind’s AI Creates Music Using Deep Reinforcement Learning

Last month, an AI application developed by DeepMind researchers unveiled its own take on music – and it’s one for the ages.

By applying deep reinforcement learning to a convolutional neural network (CNN), the software was able to compose melodies that sounded quite similar to its human counterparts.

With adequate training, the program gradually began to outperform human musicians at composing songs – even those who had taken up careers as working musicians!

Researchers were even able to create short compositions and perform them on stage with real musicians during an experiment performed at an event called “DeepDotWeb Festival”.

Baidu’s AI Detects Cancer With Manual and Machine Learning

If a patient’s symptom fits any one of the nine diagnostic categories, a definitive diagnosis can be established with at least 97% accuracy.

In 2017, Baidu created a machine-learning algorithm that identified malignant cancerous tissues in medical images. It analyzed around 35,744 cases to ascertain which patterns indicated an affliction such as breast or prostate disease; moreover this system has also been validated by experts. Thus far it has demonstrated its efficiency several times over!

This innovative application heralds a new era for doctors and patients alike – allowing them to swiftly diagnose and treat any illness.

Google’s AI Represents a Person’s Thoughts in Images

If you’ve been fortunate enough to have witnessed the awesomeness that is Google’s latest achievement, then you’re familiar with the plight of being unable to comprehend any meaningful meaning from an image.

It is a sensation experienced by many – the inability to parse subtle nuances or even discern shapes in photographs. This can be quite vexing when attempting to make sense of what one sees despite its significance; it’s hard enough for humans without adding artificial intelligence!

In 2017, engineers at Google harnessed neural networks and deep learning’s innovations to implement this functionality into their software. As if by magic, images now reveal complex sequences of thoughts; legible expressions such as frowns or blinks become visible alongside captivating poses that convey powerful emotions!

Facebook’s AI Creates Fake Videos to Expose Deceptive Practices

Recently, Facebook announced that an artificial intelligence (AI)-powered system called Duantionary had been developed to unravel the truth behind any marketing content.

In collaboration with researchers at Carnegie Mellon University (CMU), the platform analyzed 1.2 million videos posted on Facebook by 14 major brands such as Best Buy and Chipotle, along with random samples of user-uploaded content, in order to gauge whether they were liable for deceptive practices.

At last count, all those uploaded videos from Best Buy, Chipotle, and other brands had been downloaded nearly three quarters of a million times, which shows how many consumers are highly attuned towards ad transparency.

What’s more is that all 23 ads that were probed revealed at least one instance of deceptive practices by the brands; and two even came with multiple examples! This demonstrates how indispensable ethics training is for businesses seeking growth; not only does it help them cultivate trust among potential clients but also keep up with evolving regulations intended to protect consumers’ interests.

Microsoft’s AI Researchers Have Created a Speech Recognition System That Is 96.9% Accurate

Microsoft’s AI researchers recently announced a ground-breaking achievement in speech recognition – an algorithm that achieved an accuracy rate of 96.9%.

This Shazam-like software is capable of identifying songs and lyrics, even if the audio quality of the material isn’t pristine. The system works by employing statistical techniques such as string matching to identify a song based solely on its musical notes.

A recent study involving Microsoft’s impressive acoustic model demonstrated its potential for understanding speech in noisy environments, even when unintelligible. Through leveraging research into minute distinctions between different sounds (such as distinguishing between a faint cough and an obnoxious burp) this breakthrough could pave the way for new applications in both healthcare and security areas.

Conclusion

This is the pinnacle of AI research, and it’s only getting more advanced. I was astounded by some of these breakthroughs; they truly seem like they could be used in everyday life!