MIT to Create 'AI Physicist'

System can generate theories about physical laws in fictional universes
06 November 2018   136

Researchers at the Massachusetts Institute of Technology (MIT) created the AI ​​Physicist system, which is capable of generating theories about physical laws in fictional universes. This will allow AI to extrapolate its knowledge and predict the future.

Artificial intelligence is not yet able to recognize objects or situations, discarding irrelevant details. In other words, it does not know how to focus on a particular object. The reason is that AI at the current level of development is unable to determine what is necessary. For example, if you show it many photos of cats, where they will be in different environments, the system will not be able to identify them because of this difference.

MIT used a different approach. Researchers Tailin Wu and Max Tegmark have programmed four strategies in the machine learning algorithm that scientists use to generate theories about complex observations. They also added a method of small models. These models describe a certain subset of objects, and then a larger “theory of everything” is formed from them.

These are the techniques: divide and conquer (generation of multiple theories, each of which explains part of the overall picture), Occam's razor (using the simplest theory as much as possible without involving third-party entities), unification (combining theories) and lifelong learning (trying to apply theories to solve future problems). AI introduced a series of progressively more complex virtual environments with unusual and strange physical laws. The task of the machine was to predict the behavior of objects in these environments.

In order for the AI ​​to determine how objects will move in two dimensions in these environments, it had to create his own physical theories. AI Physicist, as reported, was able to predict the behavior of the ball in an environment with different physical phenomena in more than 90% of cases, which is much higher than that of traditional machine learning systems.

It is assumed that in the future, AIs will be able to independently set tasks and conduct experiments, even in virtual space. This will allow scientists to better understand complex systems, as well as use artificial intelligence to predict climate change, the economy, and other systems with large amounts of data. As for science, such systems will surely find application in astronomy, physics, chemistry, and so on.

Intel to Present Neural Compute Stick 2

Neural Compute Stick 2 is an autonomous neural network on a USB drive
15 November 2018   116

At the Beijing conference, Intel introduced Neural Compute Stick 2, a device that facilitates the development of smart software for peripheral devices. These include not only network equipment, but also IoT systems, video cameras, industrial robots, medical systems and drones. The solution is intended primarily for projects that use computer vision.

Neural Compute Stick 2 is an autonomous neural network on a USB drive and should speed up and simplify the development of software for peripheral devices by transferring most of the computation needed for learning to the specialized Intel Movidius Myriad X processor. Neural Compute Engine, responsible for the high-speed neural network of deep learning.

The first Neural Compute Stick was created by Movidius, which was acquired by Intel in 2016. The second version is 8 times faster than the first one and can work on Linux OS. The device is connected via a USB interface to a PC, laptop or peripheral device.

Intel said that Intel NCS 2 allows to quickly create, configure and test prototypes of neural networks with deep learning. Calculations in the cloud and even access to the Internet for this is not needed.

The module with a neural network has already been released for sale at a price of $ 99. Even before the start of sales, some developers got access to Intel NCS 2. With its help, projects such as Clean Water AI, which use machine vision with a microscope to detect harmful bacteria in water, BlueScan AI, scanning the skin for signs of melanoma, and ASL Classification, real-time translates sign language into text.

Over the Movidius Myriad X VPU, Intel worked with Microsoft, which was announced at the Developer Day conference in March 2018. The AI ​​platform is expected to appear in upcoming Windows updates.