Lifeboat Foundation

Story just in time for Halloween.

The prospect of artificial intelligence is scary enough for some, but Manuel Cebrian Ramos at CSIRO’s Data61 is teaching machines how to terrify humans on purpose.

Dr Cebrian and his colleagues Pinar Yanardag and Iyad Rahwan at the Massachusetts Institute of Technology have developed the Nightmare Machine.

Continue reading “Nightmare Machine at CSIRO is slowly but surely learning how to terrify humans” »

Nice job Harley-Davidson when can I have my discount for my new wheels?

Lookalike modeling is a key component of lead generation, and for motorcycle brand Harley-Davidson, the tactic now goes hand in hand with artificial intelligence (AI). In March 2016, the company began working with machine learning technology provider Adgorithms to grow its ecommerce reach and hasn’t looked back since. Asaf Jacobi, president of Harley-Davidson’s New York City division, spoke with eMarketer’s Maria Minsker about the brand’s experience with AI and discussed the results he has seen so far.

EMarketer: What are some of the business challenges that drove you to try artificial intelligence?

Continue reading “Harley-Davidson Says Artificial Intelligence Drives 40% of New York Sales” »

Fortifying cybersecurity is on everyone’s mind after the massive DDoS attack from last week. However, it’s not an easy task as the number of hackers evolves the same as security. What if your machine can learn how to protect itself from prying eyes? Researchers from Google Brain, Google’s deep Learning project, has shown that neural networks can learn to create their own form of encryption.

According to a research paper, Martín Abadi and David Andersen assigned Google’s AI to work out how to use a simple encryption technique. Using machine learning, those machines could easily create their own form of encrypted message, though they didn’t learn specific cryptographic algorithms. Albeit, compared to the current human-designed system, that was pretty basic, but an interesting step for neural networks.

To find out whether artificial intelligence could learn to encrypt on its own or not, the Google Brain team built an encryption game with its three different entities: Alice, Bob and Eve, powered by deep learning neural networks. Alice’s task was to send an encrypted message to Bob, Bob’s task was to decode that message, and Eve’s job was to figure out how to eavesdrop and decode the message Alice sent herself.

Continue reading “Google’s neural networks created their own encryption method” »

Soon, we see Legos that self assemble from 4D printers, printers that can recycle robots & devices and produce a more improved robot and/ or devices. The days of manually working on equipment, autos, etc. will be gone except for the eccentric hobbyist.

Open-source hardware could democratize the future of robots.

Embryonic neural stem cells transplanted into damaged areas of the visual cortex of adult mice were able to differentiate into pyramidal cells — forming normal synaptic connections, responding to visual stimuli, and integrating into neural networks — researchers at LMU Munich, the Max Planck Institute for Neurobiology in Martinsried and the Helmholtz Zentrum München have demonstrated.

The adult human brain has very little ability to compensate for nerve-cell loss, so biomedical researchers and clinicians are exploring the possibility of using transplanted nerve cells to replace neurons that have been irreparably damaged as a result of trauma or disease, leading to a lifelong neurological deficit.

Continue reading “Neurons from stem cells replace damaged neurons, precisely rewiring into the brain” »

The next phase in the AI revolution calls for advances in how the technology addresses and processes data from the non-vision world.

They’re worried about their jobs but otherwise optimistic.

The field of “scientific theology” ponders the ultimate purpose of mind.

In Brief:

• Watson recommended treatment plans that matched suggestions from oncologists in 99 percent of the cases it analyzed and offered options doctors missed in 30 percent of them.
• AI could be revolutionary for healthcare as it can process many more research papers and case files than any human doctor could manage.

Artificial intelligence (AI) is about more than just the promise of a robot butler — it can actually save lives. AI’s contribution to the healthcare industry and in medical research could be hugely significant. IBM sees that and wants Watson, its AI technology, at the forefront of this development.