Industry
Should We Preemptively Ban Killer Robots Of The Future?
PARIS â We've hardly made peace with the idea of driverless cars, and now we're being told that artificial intelligence could also control rifles, missiles and bombs of the future. The warning was issued last summer by leading figures such as Tesla chief Elon Musk, physicist Stephen Hawking and MIT Professor Noam Chomsky. "Starting a military AI arms race is a bad idea, and should be prevented by a ban on offensive autonomous weapons beyond meaningful human control," it read. The letter had the merit of publicizing a debate that has been agitating diplomats, the defense industry and NGOs for several years, but without any major impact until now. Given the recent progress of robotics and artificial intelligence, their use in the world of weapons is not a matter of Terminator-like science fiction anymore.
Exploring the risks of artificial intelligence
"Science has not yet mastered prophecy. We predict too much for the next year and yet far too little for the next ten." These words, articulated by Neil Armstrong at a speech to a joint session of Congress in 1969, fit squarely into most every decade since the turn of the century, and it seems to safe to posit that the rate of change in technology has accelerated to an exponential degree in the last two decades, especially in the areas of artificial intelligence and machine learning. Artificial intelligence is making an extreme entrance into almost every facet of society in predicted and unforeseen ways, causing both excitement and trepidation. This reaction alone is predictable, but can we really predict the associated risks involved?
What Is Artificial Intelligence?
In 2011, IBM Watson beat Jeopardy! That started the clock for the distributed, natural language processing platform. Big Blue has aggressively harnessed Watson. It is now a main part of the company's business portfolio and marketing strategy. It remains to be seen if AlphaGo will play the same role for Google's DeepMind.
Decentralized deep learning on a blockchain. AI owned by everyone (Bitcoin meets TensorFlow) • /r/MachineLearning
Is there anyone working on either a decentralized deep learning algorithm, or a consumer facing app that uses AI to help people diagnose themselves? My wife was just diagnosed with CVID a couple of weeks ago, it's like AIDS except it's not Aquired, it's part genetic and part environmental - but it's a rare primary immunodeficiency disease. She's had this her entire life. She was misdiagnosed 3 or 4 times, most recently she was eating gluten free for the last 8 years because she was diagnosed as celiac disease. She's lost most of her hair over the last 6 months and has been in the hospital 3-4 times this year.
Karim the AI delivers psychological support to Syrian refugees
More than 1 million Syrians have fled to Lebanon since the start of the conflict and as many as one-fifth of them may be suffering from mental health disorders, according to the World Health Organisation. But Lebanon's mental health services are mostly private and the needs of refugees – who may have lost loved ones, their home, livelihood and community – are mostly going unmet. Hoping to support the efforts of overworked psychologists in the region, the Silicon Valley startup X2AI has created an artificially intelligent chatbot called Karim that can have personalised text message conversations in Arabic to help people with their emotional problems. As the user interacts with Karim, the system uses natural language processing to analyse the person's emotional state and returns appropriate comments, questions and recommendations. Related: How much should we fear the rise of artificial intelligence?
The Near Future Of Artificial Intelligence (The Road To Super Intelligent Apps And Machines)
Artificial intelligence (AI) is here to stay. The AI revolution is changing lives but scaring millions. AIs are already everywhere, supporting the human mind in the pursuit to make the world better and our way of life even easier. They're in your phones and favorite apps, helping you stay connected and do what you do best in the shortest possible time. The opportunities are endless and uncertain.
Artificial Intelligence Market Research Analysis worth 5.05 Billion USD by 2020
Some of the key players operating in the artificial intelligence market are IBM Corp. (U.S.), Microsoft Corp. (U.S.), Google Inc. (U.S.), IPsoft (U.S.), FinGenius Corp. (U.K.), Rocket Fuel Inc. (U.S.), Mobileye N.V. (Israel), Kensho Technologies, Inc. (U.S.), Sentient Technologies (U.S.), and Zephyr Health (U.S.). The artificial intelligence market is segmented on the basis of technology into machine learning, natural language processing, image recognition, and speech processing. The market for AI was dominated by the machine learning technology as it provides the computers with the ability to learn without being explicitely programmed. This involves the development of computer programs that are capable of updating themselves when exposed to new data. The artificial intelligence market for the media & advertising sector is expected to account for the largest share of the overall artificial intelligence market during the forecast period due to the rising adoption of AI technologies in the media & advertising sector to determine the consumer behavior to influence their buying pattern.
Terminator-style metal morphs into different shapes
Shape-shifting robots could soon be morphing their way from the realms of science fiction into reality. Researchers have developed a metal-based material that can alter its shape and can even heal after it is damaged, conjuring up images of the T-1000 from the Terminator films. The group behind the material said it could have a number of applications, such as for the wings of an aircraft which could change their shape and even flexible skin for robots. Scientists have developed a metal-based material which can alter its shape, combining the stiffness of a metal alloy with the flexibility of a soft, porous rubber foam. The new composite material (pictured) has a stiff scaffold structure which'melts away' when needed By combining a stiff metal with soft, porous rubber foam, the team was able to combine the properties from both into a new composite material which has a stiff scaffold structure that'melts away' when needed.
From AlphaGo to AlphaLaw?
Last week, we witnessed DeepMind AlphaGo's stunning victories over Go legend and world champion Lee Se-dol. This landmark event has stoked excitement over AI's potential in every aspect of life more than any other in recent memory. DeepMind (an AI system of neural networks) was acquired by Google in 2014 and uses games as a testing ground for AI algorithms that could have real-world applications. 'I think what we've done with AlphaGo is to introduce with the neural networks this aspect of intuition, if you want to call it that, and that's really the thing that separates out top Go players: their intuition.' The same could be said about top lawyers, lawyering and legal service provision.