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Category: robotics/AI

Dwave’s next quantum chip, due in 2017, will be able to handle 2,000 qubits which is double the usable number in the existing D-Wave 2X system chip. It will be capable of solving certain problems 1,000x faster than its predecessor.

The new processor will also support additional features that allow for more efficient calculations.

“From an internal tests, that looks like that’s a really good thing to do. We’ve got some problems we’ve already sped up by a factor of 1,000 by exploiting that capability,” said Williams at the CW TEC conference in Cambridge.

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The London Borough of Enfield has employed AI Amelia to handle some customer service aspects. The program will guide customers through the site while learning and even picking up on emotions.

The London borough of Enfield has enlisted artificial intelligence Amelia to take on customer service tasks for its residents starting late this year.

Developed by IPSoft, Amelia is a cognitive agent, capable of automating certain tasks as well as learn from its interactions. As to what makes Amelia a competent asset to the council, IPSoft says she is “[c]apable of analysing natural language, she understands context, applies logic, learns, resolves problems and even senses emotions.”

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Researchers have developed machine learning software that can accurately diagnose a patient’s breast cancer risk 30 times faster than doctors, based on mammogram results and personal medical history.

The system could help doctors give better diagnoses the first time around — which means fewer mammogram callbacks and false positives.

“This software intelligently reviews millions of records in a short amount of time, enabling us to determine breast cancer risk more efficiently using a patient’s mammogram,” said one of the researchers, Stephen Wong, from Houston Methodist Research Institute. “This has the potential to decrease unnecessary biopsies.”

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This is wild: a team of Israeli scientists developed a contraption that uses a person’s brain waves to remotely control DNA-based nanorobots — while the nanobots were inside a living cockroach. When prompted by a human thought, the clam shell-like robots opened up, revealing a drug-like molecule that tweaked the physiology of the cockroach’s cells.

Though “merely a demonstration and proof of concept,” the technology represents a new era of brain-nanomachine interfaces that links a person’s mental state to bioactive payloads such as drugs. Future techniques that build upon this prototype could be helpful for schizophrenia, depression or other mental disorders, in that the drugs only activate when a patient’s brain waves show signs of abnormality.

Talk about the power of positive thinking!

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Among the AI pieces it is including in the platform are advanced machine learning, deep learning, predictive analytics, natural language processing and smart data discovery.

Ultimately, it’s not very different from exposing any other parts of the platform to customers, but it’s focused on making a smarter CRM tool, one that surfaces the information that matters. Sometimes this information may seem apparent, signals any reasonably good sales person would be looking for. Salesforce’s goal here is to put this key data front and center, and it believes even the most skilled sales pros will benefit from this approach.

For inside sales teams making cold phone calls all day long, the system can surface the most likely candidate as the next call automatically. For sales people working territories, it can keep them apprised of key information such as when a competitor’s interest shows up in the news. While you could argue that an astute sales person would be tracking this information, the Salesforce Einstein approach is designed to leave nothing to chance.

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In a new interview, Elon Musk identifies genetics, AI, and brain bandwidth as three areas in which today’s youth can have the biggest impact on the future. However, he doesn’t think an idea needs to be revolutionary to be worthwhile.

While many 2o-something-year-olds are just finding their way in the world, young Elon Musk was already looking for ways to change it way back in 1995 (when he was that age).

In a well-known 2015 discussion with Neil deGrasse Tyson for the physicist’s StarTalk Radio podcast, Musk lists the five things he thought would most affect the future of humanity (the internet, sustainable energy, space exploration, artificial intelligence, and rewriting human genetics).

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The research lab that developed Siri, SRI International, is creating virtual assistants that can detet your emotional state, and react accordingly. It envisions assistants that can detect emotions and tailor their reactions to those emotions.

Artificial intelligence (AI) is all about getting a machine to mimic a human in every way: thought, speech, movement. That’s why one of the tests for AI is the Turing test: whether a robot can fool a human into thinking it is conversing with another of its own species.

An integral part of accomplishing this is making the AI recognize human emotions. So one research lab is working on the next iteration of virtual assistants, those that can recognize and react to emotional cues. SRI International, the birthplace of Siri, is working on better chatbots and phone assistants that can detect agitation, confusion, and other emotional states, and respond accordingly.

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Advances in machine learning have been driven by innovations and ideas from many fields. Inspired by the way that humans learn, Reinforcement Learning (RL) is concerned with algorithms which improve with trial-and-error feedback to optimize future performance.

Board games and video games often have well-defined reward functions which allow for straightforward optimization with RL algorithms. Algorithmic advances have allowed for RL to be in real-world problems, such as high degree-of-freedom robotic manipulation and large-scale recommendation tasks, with more complex goals.

Twitter Cortex invests in novel state-of-the-art machine learning methods to improve the quality of our products. We are exploring RL as a learning paradigm, and to that end, Twitter Cortex built a framework for RL development. Today, Twitter is open sourcing torch-twrl to the world.

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