interface



AI Chatbots Try to Schedule Meetings--Without Enraging Us

WIRED

I was in the middle of my usual morning routine--40 reps of How Will I Pay These Damn Bills and 30 minutes on the treadmill of Where Did I Go Wrong--when my laptop chimed and an email notification burst onto my screen. Hi John, Stefanie let me know this meeting will be Tuesday. I'll go ahead and send out an invite. Then Andrew sent me eight more emails. Apparently I would be meeting with several people, and he was sending me a flurry of invitations.


More AI at the Edge

#artificialintelligence

AI in edge devices is expected to experience mind-blowing growth over the next half decade, with predictions exceeding 100% CAGR. That means our IoT devices are going to be getting smart, and doing it quickly. Our devices are equipped with increasing numbers of increasingly complicated sensors, drowning our devices in data. In most applications, however, it isn't practical to simply push all that raw sensor data up to the cloud for further processing. We need to make some sense of it now, at the edge, embedded inside our device.


Eight things to expect at Google I/O 2018

#artificialintelligence

For a company as big and sprawling as Google, an annual developer conference can feel overwhelming. Google offers a dizzying number of services and dabbles in almost every consumer tech industry under the sun, including seven core products with more than a billion users each. But the company has a measured tempo when it comes to Google I/O, and we've come to understand how it prioritizes certain products over others come May every year. At this year's I/O, which will be held again at the Shoreline Amphitheater in Mountain View, California starting Tuesday, May 8th, we know we'll be hearing about the future of Android and Google's artificial intelligence efforts. But there will also be news on everything from its new wearable platform, Wear OS, and Google Assistant to Android TV, Google Home, Google Play, and Search.


New Frontier of Artificial Intelligence (AI) for Tech Industry Could Top $190 Billion By 2025

@machinelearnbot

Artificial intelligence (AI) is poised to have a game changing effect on Consumer Products, Business Services, Advertising, Finance & Investment, Media & Entertainment and Defense Applications around the world. According to a research report by Markets and Markets, the global artificial intelligence landscape could reach a value north of $190 billion within the next seven years. AI is asserting itself as a transformative technology that can heavily influence the global economy with trillions in contributions in various subsets of the economy. The most significant factor influencing the explosive growth of this market is the investment by businesses, as leaders across numerous industries are spending billions to develop advanced AI platforms. Active companies in the markets this week include Gopher Protocol Inc. (OTC: GOPH), Microsoft Corporation (NASDAQ: MSFT), Intel Corporation (NASDAQ: INTC), ON Semiconductor Corporation (NASDAQ: ON), Aptiv PLC (NYSE: APTV).


Building superhumans

#artificialintelligence

It is a heady time in the world of human empowerment. We are seeing technologies that can alter our genetic code, augment our brainpower, enhance our physique and extend our lives. As physicians, our goals are no longer limited to healing injuries and curing disease. The question, "Can you make me better than I have ever been?" has moved from fantasy to near reality. Here are a few of the highlights from recent TED, Near Future and other gatherings.


Humans and Machines Learn Together to Win a Competition

#artificialintelligence

This work aims at corroborating the importance and efficacy of mutual learning in motor imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our participation in the BCI race of the Cybathlon event. We hypothesized that, contrary to the popular trend of focusing mostly on the machine learning aspects of MI BCI training, a comprehensive mutual learning methodology that reinstates the three learning pillars (at the machine, subject, and application level) as equally significant could lead to a BCI–user symbiotic system able to succeed in real-world scenarios such as the Cybathlon event. Two severely impaired participants with chronic spinal cord injury (SCI), were trained following our mutual learning approach to control their avatar in a virtual BCI race game. The competition outcomes substantiate the effectiveness of this type of training. Most importantly, the present study is one among very few to provide multifaceted evidence on the efficacy of subject learning during BCI training.


5 Key Artificial Intelligence Predictions For 2018: How Machine Learning Will Change Everything

#artificialintelligence

During 2017 it was hard to escape predictions that artificial intelligence is about to change the world. In 2018, this is unlikely to change. However, an increased focus on repeatable and quantifiable results is likely to ground some of the "big picture" thinking in reality. Don't get me wrong - in 2018 AI and machine learning will still be making headlines, and there are likely to be more sensationalised claims about robots wanting to take our jobs or even destroy us. However, stories about real innovation and progress should start to receive more prominence as the promise of the smart, learning machines increasingly begins to bear fruit.


Building a Chatbot Platform: A Cautious Approach

#artificialintelligence

Chatbots are becoming increasingly popular owing to the convenience and connect they offer for customer engagement. Many enterprises are already investing in building and deploying their own chatbots, with intent to reach the customer faster and first. A chatbot platform, which caters to the specific target audience of the brand, requires a high degree of customization in its construction. The business of brands is becoming more real-time, and customers are connecting and engaging with them round-the-clock. Moreover, today's customers want to be served in a jiffy and in the best possible manner.


Brain-computer-interface training helps tetraplegics win avatar race

@machinelearnbot

Noninvasive brain–computer interface (BCI) systems can restore functions lost to disability -- allowing for spontaneous, direct brain control of external devices without the risks associated with surgical implantation of neural interfaces. But as machine-learning algorithms have become faster and more powerful, researchers have mostly focused on increasing performance by optimizing pattern-recognition algorithms. But what about letting patients actively participate with AI in improving performance? To test that idea, researchers at the École Polytechnique Fédérale de Lausanne (EPFL), based in Geneva, Switzerland, conducted research using "mutual learning" between computer and humans -- two severely impaired (tetraplegic) participants with chronic spinal cord injury. The goal: win a live virtual racing game at an international event.