Artificial Intelligence Plus Convergence: Five Expected Breakthroughs - - Alternative View

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Artificial Intelligence Plus Convergence: Five Expected Breakthroughs - - Alternative View
Artificial Intelligence Plus Convergence: Five Expected Breakthroughs - - Alternative View

Video: Artificial Intelligence Plus Convergence: Five Expected Breakthroughs - - Alternative View

Video: Artificial Intelligence Plus Convergence: Five Expected Breakthroughs - - Alternative View
Video: The Artificial Intelligence Breakthroughs of The Last Five Years - Rob Fergus 2024, September
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Today we will talk about artificial intelligence and convergence. Neil Jacobstein is an Artificial Intelligence specialist with vast experience (over 25 years of consulting). He currently studies AI and Robotics at the Singularity University of Peter Diamandis, another prominent figure in AI, life extension, robotics and other futuristic fields. At this year's Abundance360, Neil predicted five trends that he believes will gain traction over the next 5 years.

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Artificial Intelligence Predictions for 2019-2024

AI will spawn new non-human results in pattern recognition and intelligence

AlphaGo Zero, a machine learning computer program trained to play the complex game of go, defeated the 2016 world champion by a score of 100: 0. But instead of learning from humans, AlphaGo Zero trains by playing against itself - a technique known as reinforcement learning.

By building its own knowledge from scratch, AlphaGo Zero demonstrates a new form of creativity free from human bias. More importantly, this type of pattern and pattern recognition allows machines to accumulate thousands of years of knowledge in a matter of hours.

Although such systems cannot yet answer the question "What is orange juice?" or compete with the intelligence of even a fifth grader, they become more and more strategically complex, merging with other forms of highly focused artificial intelligence. Over the next five years, who knows what kind of successors will emerge for AlphaGo Zero, developing both business techniques and functions and a person's daily life.

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Doctors risk their positions by not using machine learning to diagnose and plan treatment

Recently, a group of Chinese and American researchers have created an AI system that diagnoses common childhood illnesses, from flu to meningitis. Trained from electronic medical records collected from 1.3 million outpatient visits to 600,000 patients, the AI program has learned to diagnose diseases with unprecedented accuracy.

While the American health care system does not have the same level of universal health data available as some Chinese systems, both are making headway in medical AI. Dr. Kang Zhang, head of the Center for Ophthalmic Genetics at the University of California, San Diego, has created his own system that detects signs of diabetic blindness, based on both text and medical images.

Jacobstein predicts that in the future, "we will see a tipping point where clinicians feel that it would be risky not to use machine learning and AI in their daily practice, as an important diagnostic signal could be missed."

Quantum breakthrough will dramatically accelerate drug discovery and testing

Scientists estimate that there are 10 (to the 60th power) possible drug molecules - more than atoms in our solar system. But today scientists are able to predict the composition of drugs based on the properties of the molecular structure, and then synthesize many options to test the hypothesis.

Quantum computing has the potential to turn this time-consuming and expensive process into an efficient, not to mention a possible disruptive drug discovery protocol.

“Quantum computing will have a big industrial impact,” Jacobstein says, “not by breaking encryption, but by invading drug design through massively parallel processes involving superposition, quantum interference, entanglement. They will significantly surpass classical calculations."

AI will accelerate both vulnerability and security of security systems

As AI is incorporated into virtually every aspect of our lives, cyberattacks become more and more threatening. Deep Attacks can use AI-generated content to evade human and AI control.

Recent examples include fake videos of former US President Barack Obama, in which he utters fake sentences, and artificial intelligence that deceives another algorithm, “replacing” the “STOP” sign with a speed limit sign up to 60 km / h. Without adequate protection, AI systems can be manipulated to perform any number of destructive tasks, be it ruining reputation or deceiving autonomous vehicles.

According to Jacobstein: “We all have security systems in buildings, in our homes, in the healthcare system, air traffic control, financial institutions, military and intelligence communities. But we all know that these systems are periodically hacked - and we will see this more and more. Thus, both the business and you have the opportunity to think now and attend to safety before it's too late."

AI design systems will provide a breakthrough in atomically precise manufacturing

Just as the modern computer has changed our relationship with bits and information, AI will redefine and revolutionize our relationship with molecules and materials. AI is currently being used to search for new materials in the field of clean technologies: solar cells, batteries and devices for artificial photosynthesis.

Industry experts say today it takes 15 to 20 years to create a single new material. But as AI design systems are rapidly gaining power, it will dramatically speed up the process of material discovery, allowing us to tackle pressing issues like climate change at record speed.

Atomically precise manufacturing will enable us to produce the previously unimaginable.

What will artificial intelligence be like in five years?

In just the past three years, countries around the globe have signed national AI strategies and plans to scale up innovation. Businesses are also taking an active interest in this scene, hiring AI engineers and technical consultants to harness what is called "21st century electricity," as Andrew Ng called it.

If your business does not begin to implement the developments of artificial intelligence already now, it may very soon be out of work. Do you agree with this statement?

Ilya Khel