New research shows that the #brain‘s #neuroplasticity isn’t as flexible as previously thought. One of the brain’s mysteries is how exactly it reorganizes new #information as you learn new tasks. The standard to date was to test how neurons learned new behavior one #neuron at a time. Carnegie Mellon University and the University of Pittsburgh […]
Matrix multiplication and AI: A short primer
I’ve got this ominous feeling that 2018 could be the year that everything changes dramatically. The incredible breakthroughs we saw in 2017 for deep learning will carry over in a very powerful way in 2018. A lot of work coming from 2017’s research will migrate into everyday software applications.
Deep learning, which is the reemergence of artificial neural networks, has recently succeeded as an approach towards artificial intelligence. In many fields, including computational linguistics, deep learning approaches have largely displaced earlier machine learning approaches, due to the superior performance they provide.
New research, led by the University of Southampton, has demonstrated that a nanoscale device, called a memristor, could be used to power artificial systems that can mimic the human brain.
Google unveils custom TPU chip, which it says advances computing performance by three generations.
Phones and other compact devices with silicon neurons and synapses inside could be much more useful.
Tek-Think – Smart Technology In The Age Of Artificial Intelligence – Technology is Getting Smarter. So Should We!
Technology is Getting Smarter. So Should We!
Baidu says it is building a 100-billion-neuron deep learning system and that it will be complete within six months, powering a fast transition away from text for search requests. With smartphones and the company’s new Baidu Eye technology, the company expects voice and image search to be more used than text.