“China is betting on AI and investing in AI and deploying AI on a scale no other country is doing,” says Abishur Prakash, a futurist and author of books about the effect of artificial intelligence (AI) on geopolitics.
As developments in AI accelerate, some in the US fear that the ability of China’s powerful central government to marshal data and pour resources into the field will push it ahead.
The country has announced billions in funding for start-ups, launched programmes to woo researchers from overseas and streamlined its data policies. Read More
Monthly Archives: November 2019
New Theory Cracks Open the Black Box of Deep Learning
Even as machines known as “deep neural networks” have learned to converse, drive cars, beat video games and Go champions, dream, paint pictures and help make scientific discoveries, they have also confounded their human creators, who never expected so-called “deep-learning” algorithms to work so well. No underlying principle has guided the design of these learning systems, other than vague inspiration drawn from the architecture of the brain (and no one really understands how that operates either).
… Last month, a YouTube video of a conference talk in Berlin, shared widely among artificial-intelligence researchers, offered a possible answer. In the talk, Naftali Tishby, a computer scientist and neuroscientist from the Hebrew University of Jerusalem, presented evidence in support of a new theory explaining how deep learning works. Read More
13 Mind-Blowing Things Artificial Intelligence Can Already Do Today
By now, most of us are aware of artificial intelligence (AI) being an increasingly present part of our everyday lives. But, many of us would be quite surprised to learn of some of the skills AI already knows how to do. Here are 13 mind-blowing skills artificial intelligence can already do today.
— Read
— Write
— See
— Hear and Understand
— Speak
— Smell
— Touch
— Move
— Understand Emotions
— Play Games
— Debate
— Create
— Read Your Mind
Read More
Building a World Where Data Privacy Exists Online
Data is valuable — something that companies like Facebook, Google and Amazon realized far earlier than most consumers did. But computer scientists have been working on alternative models, even as the public has grown weary of having their data used and abused.
Dawn Song, a professor at the University of California, Berkeley, and one of the world’s foremost experts in computer security and trustworthy artificial intelligence, envisions a new paradigm in which people control their data and are compensated for its use by corporations. Read More
The Man & Machine Issue: Artificial Intelligence vs. Human Behavior
The world is currently discussing if artificial systems are good or bad, will help us or destroy us, and if they will ever function or not, and by doing that people make the mistake of actually trying to answer the wrong question. As of today, the biggest question about artificial intelligence is not the system itself, but the biggest challenge is the interface consequences between the human and the machine, or to be more precise the system existent out of two elements — a carbon and a silicon body. Read More
A will to survive might take AI to the next level
…In real life robots have no more feelings than a rock submerged in novocaine.
There might be a way, though, to give robots feelings, say neuroscientists Kingson Man and Antonio Damasio. Simply build the robot with the ability to sense peril to its own existence. It would then have to develop feelings to guide the behaviors needed to ensure its own survival. Read More
Evolving Neural Networks through Augmenting Topologies
An important question in neuroevolution is how to gain an advantage from evolving neural network topologies along with weights. We present a method, NeuroEvolution of Augmenting Topologies (NEAT), which outperforms the best fixed-topology method on a challenging benchmark reinforcement learning task. We claim that the increased efficiency is due to (1) employing a principled method of crossover of different topologies, (2) protecting structural innovation using speciation, and (3) incrementally growing from minimal structure. We test this claim through a series of ablation studies that demonstrate that each component is necessary to the system as a whole and to each other. What results is significantly faster learning. NEAT is also an important contribution to GAs because it shows how it is possible for evolution to both optimize and complexify solutions simultaneously, offering the possibility of evolving increasingly complex. Read More
How to Create a Successful Data Strategy
With rapid advances in AI and data science, data has become an essential asset to every enterprise. Setting up a data strategy, therefore, has become every enterprise’s mission, particularly in the C Suite and at Executive levels. What is a data strategy and how do we create the right data strategy?
… There are 6 areas that we should focus on to create a successful data strategy: Alignment, Architecture, Process, Organization, People, and Long-term planning. Read More
Roy Orbison and Buddy Holly Hologram
In the matter of automated data processing in government decision making
The Legal Education Foundation (“TLEF”) seeks to identify new and emerging areas of law where there are gaps in the legal analysis and the need for increased understanding.
… Ultimately, we conclude that there is a very real possibility that the current use of governmental automated decision-making is breaching the existing equality lawframework in the UK, and is “hidden” from sight due to the way in which the technology is being deployed.
Notwithstanding these conclusions, we should emphasise that we fully understand the benefits of automated decision-making. In no way should our Opinion be interpreted as endorsing a blanket resistance to technology that has the potential to increase the speed and perhaps accuracy of important government functions. Rather, our Opinion should be read as a caution against the uncritical acceptance and endorsement of automated decision-making because of its potential to cause damaging unlawful discrimination. Read More
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