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AI To Soon Help in Airport Shopping, Track Car Health

Around 60 per cent of the technologies showcased at the "Sneaks" actually make it to the market depending upon the customer response

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Rana el Kaliouby, CEO of the Boston-based artificial intelligence firm Affectiva, demonstrates the company's facial recognition technology, in Boston, April 23, 2018. VOA

If you are struggling with data to make charts and power points or you are at the airport trying to make use of a long layover or simply worked up about maintenance of your cars, then relax, good news is on its way. Artificial Intelligence (AI) driven apps will soon be taking care of all these allowing you to enjoy other things in life.

A “sneak” into the future of digital solutions at the Adobe Summit 2019 presented by popular and witty Mindy Kaling, where ‘data unbound’, an AI- based document handling feature won hands down in an open voting. It is one of the most awaited features.

Presented by Sana Malik of Adobe Research, ‘data unbound’ analyses the data, draws the summary and converts it into charts and graphs for web pages and power points using Adobe Sensei and data analytics.

Representational image.

Another futuristic innovation presented was airline mobile app with augmented reality (AR) feature carrying interactive terminal map enabling the customer to stores and pick up products as AR objects in 3D.

Adobe’s automobile app will track the statistics about your car and keep you informed about its health for taking corrective measures in time and avoiding breakdowns.

Also Read- Air-polluted Cities On Increase In Asia, Coal Addiction Puts Chokehold

The visit to workshops will become more efficient as the mechanic just knows what to do with the vehicle as it’s health chart will be readily available.

Around 60 per cent of the technologies showcased at the “Sneaks” actually make it to the market depending upon the customer response. (IANS)

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Researchers Develop AI Algorithm That can Solve Rubik’s Cube in Less Than a Second

According to the researchers, the ultimate goal of projects such as this one is to build the next generation of AI systems

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Researchers have developed an AI algorithm that can solve a Rubiks Cube in a fraction of a second, faster than most humans. The work is a step toward making AI systems that can think, reason, plan and make decisions.

The study, published in the journal Nature Machine Intelligence, shows DeepCubeA — a deep reinforcement learning algorithm programmed by University of California computer scientists and mathematicians — can solve the Rubik’s Cube in a fraction of a second, without any specific domain knowledge or in-game coaching from humans.

This is no simple task considering that the cube has completion paths numbering in the billions but only one goal state – each of six sides displaying a solid colour – which apparently can not be found through random moves.

“Artificial Intelligence can defeat the world’s best human chess and Go players, but some of the more difficult puzzles, such as the Rubik’s Cube, had not been solved by computers, so we thought they were open for AI approaches,” said study author Pierre Baldi, Professor at the University of California.

“The solution to the Rubik’s Cube involves more symbolic, mathematical and abstract thinking, so a deep learning machine that can crack such a puzzle is getting closer to becoming a system that can think, reason, plan and make decisions,” Baldi said.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

For the study, the researchers demonstrated that DeepCubeA solved 100 percent of all test configurations, finding the shortest path to the goal state about 60 per cent of the time.

The algorithm also works on other combinatorial games such as the sliding tile puzzle, Lights Out and Sokoban.

The researchers were interested in understanding how and why the Artificial Intelligence (AI) made its moves and how long it took to perfect its method.

Also Read: Amazon Alexa May Come to Windows 10’s Lock Screen

“It learned on its own, our AI takes about 20 moves, most of the time solving it in the minimum number of steps,” Baldi said.

“Right there, you can see the strategy is different, so my best guess is that the AI’s form of reasoning is completely different from a human’s,” he added.

According to the researchers, the ultimate goal of projects such as this one is to build the next generation of AI systems. (IANS)