Scientist


GE's research scientists are learning to meld AI with machines

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So far, nearly 400 employees from across the company have completed GE's certification program for data analytics, and about 50 scientists have moved into digital analytics jobs of the kind Nichols has taken on. They enable GE to track wear and tear on its aircraft engines, locomotives, gas turbines, and wind turbines using sensor data instead of assumptions or estimates, making it easier to predict when they will need maintenance. What's more, if data is corrupted or missing, the company fills in the gaps with the aid of machine learning, a type of AI that lets computers learn without being explicitly programmed, says Colin Parris, GE Global Research's vice president for software research. Parris says GE pairs computer vision with deep learning, a type of AI particularly adept at recognizing patterns, and reinforcement learning, another recent advance in AI that enables machines to optimize operations, to enable cameras to find minute cracks on metal turbine blades even when they are dirty and dusty.


Artificial intelligence: A force for good or evil?

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Consent is becoming a thorny issue and marketers everywhere need to understand what measures their data protection officers are putting into place. Martech vendors are adding machine learning features and client-side companies are looking to employ data scientists to take advantage of their wealth of customer data. Now is the perfect time for marketers to increase their understanding, not least because the General Data Protection Regulation (GDPR) is due to come into force in May 2018, stipulating that processing of personal data must be "lawful, fair and transparent". Consent is becoming a thorny issue and marketers everywhere need to understand what measures their data protection officers are putting into place for the GDPR, and how that affects marketing workflow.


Carnegie Mellon Solidifies Leadership Role in Artificial Intelligence

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Carnegie Mellon University's School of Computer Science (SCS) has launched a new initiative, CMU AI, that marshals the school's work in artificial intelligence (AI) across departments and disciplines, creating one of the largest and most experienced AI research groups in the world. Moore is directing the initiative with Jaime Carbonell, the Newell University Professor of Computer Science and director of the Language Technologies Institute; Martial Hebert, director of the Robotics Institute; Computer Science Professor Tuomas Sandholm; and Manuela Veloso, the Herbert A. Simon University Professor of Computer Science and head of the Machine Learning Department. It created the first and only machine learning department, studying how software can make discoveries and learn with experience. That expertise, spread across several departments, has enabled CMU to develop such technologies as self-driving cars; question-answering systems, including components of IBM's Jeopardy-playing Watson; world-champion robot soccer players; 3-D sports replay technology; and even an AI smart enough to beat four of the world's top poker players.


Carnegie Mellon Launches Artificial Intelligence Initiative

#artificialintelligence

Carnegie Mellon University's School of Computer Science (SCS) has launched a new initiative, CMU AI, that marshals the school's work in artificial intelligence (AI) across departments and disciplines, creating one of the largest and most experienced AI research groups in the world. Moore is directing the initiative with Jaime Carbonell, the Newell University Professor of Computer Science and director of the Language Technologies Institute;Martial Hebert, director of the Robotics Institute; Computer Science Professor Tuomas Sandholm; and Manuela Veloso, the Herbert A. Simon University Professor of Computer Science and head of the Machine Learning Department. It created the first and only Machine Learning Department, studying how software can make discoveries and learn with experience. That expertise, spread across several departments, has enabled CMU to develop such technologies as self-driving cars; question-answering systems, including components of IBM's Jeopardy-playing Watson; world-champion robot soccer players; 3-D sports replay technology; and even an AI smart enough to beat four of the world's top poker players.


Scientists have created drones that can fly and drive

Daily Mail

Adding the driving component to the drone slightly reduced its battery life, meaning that the maximum distance it could fly decreased 14 per cent to about 91 metres. Airborne drones are fast and agile, but generally have too limited a battery life to travel for long distances. Airborne drones are fast and agile, but generally have too limited of a battery life to travel for long distances. Adding the driving component to the drone slightly reduced its battery life, meaning that the maximum distance it could fly decreased by 14 per cent to about 91 metres (300ft).


General Electric Builds An Ai Workforce MIT Technology Review Stage Fright Media

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So far, nearly 400 employees from across the company have completed GE's certification program for data analytics, and about 50 scientists have moved into digital analytics jobs of the kind Nichols has taken on. They enable GE to track wear and tear on its aircraft engines, locomotives, gas turbines, and wind turbines using sensor data instead of assumptions or estimates, making it easier to predict when they will need maintenance. What's more, if data is corrupted or missing, the company fills in the gaps with the aid of machine learning, a type of AI that lets computers learn without being explicitly programmed, says Colin Parris, GE Global Research's vice president for software research. Parris says GE pairs computer vision with deep learning, a type of AI particularly adept at recognizing patterns, and reinforcement learning, another recent advance in AI that enables machines to optimize operations, to enable cameras to find minute cracks on metal turbine blades even when they are dirty and dusty.


First DeepMind AI conquered Go. Now it's time to stop playing games

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DeepMind's AlphaGo artificial intelligence shut out the world's best Go player, 19-year-old Ke Jie, ending their series at 3-0 in late May. For the same reason, DeepMind probably won't teach a machine to play Arimaa, a board game developed with the specific purpose of being difficult for machines to play. From Deep Blue facing Kasparov, to AlphaGo squaring up to Ke Jie, there have always been detractors who have claimed that the computer players have been programmed with a specific opponent in mind. In DeepMind's blog post officially announcing AlphaGo's retirement from competitive play, Hassabis and Silver noted that the team behind the technology is moving on to algorithms that could help with tasks like "finding new cures for diseases, dramatically reducing energy consumption, or inventing revolutionary new materials."


Apple's Seattle job listings reveal desire to attract AI talent to work on Siri in the land of Amazon's Alexa

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When Apple announced plans earlier this year to expand its engineering operation in Seattle, the company said it would be looking for "the best people who are excited about AI and machine learning." Job listings on the tech giant's website reveal just who Apple hopes to attract on its Siri Advanced Development team. You will be working in the Siri Advanced Development team, at Apple. Computer scientist Carlos Guestrin, who is Apple's director of machine learning, told GeekWire in February about the hopes and plans for Apple's team in Seattle, which was moving into two floors in Two Union Square.


New tool offers snapshots of neuron activity

MIT News

A team of MIT and Stanford University researchers has developed a way to label neurons when they become active, essentially providing a snapshot of their activity at a moment in time. This approach could offer significant new insights into neuron function by offering greater temporal precision than current cell-labeling techniques, which capture activity across time windows of hours or days. Existing tools allow researchers to engineer cells so that when neurons turn on a gene called cfos, which helps cells respond to new information, they also turn on an artificially introduced gene for a fluorescent protein or another tagging molecule. The researchers designed their tool to respond to calcium, because neurons experience an flux of calcium ions every time they fire an electrical impulse.


an-advanced-ai-has-been-deployed-to-fight-against-hackers

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The grid connects computers in more than 40 countries from more than 170 research facilities, and works like a power grid to some extent, providing computing resources to facilities based on demand. This presents a unique cybersecurity challenge: keeping the massive globally-distributed grid secure while maintaining the computing power and storage unimpeded. Machine learning can train a system to detect potential threats while retaining the flexibility that it needs to provide computing power and storage on demand. If they work well protecting just the part of the grid that ALICE (A Large Ion Collider Experiment) uses, the team can deploy AI cybersecurity measures throughout the system.