IBM researchers have just revealed a new storage memory breakthrough that has the potential to speed up machine learning and access to the Internet of Things (IoT), as well as mobile phone apps and cloud storage. For the first time, scientists have demonstrated reliably storing three bits of data per cell using a new memory technology known as phase-change memory (PCM). While memory types span from DRAM to hard disk drives to flash, over the past few years, PCM has become quite popular in the industry as well, due to its combination of read/write speed, endurance, non-volatility and density. The experimental multi-bit PCM chip used by IBM scientists is connected to a standard integrated circuit board. For example, unlike DRAM, PCM doesn't lose data when powered off, and it can endure at least 10 million write cycles, while an average flash USB stick tops out at 3,000 write cycles.

SAN FRANCISCO (AP) -- Google is expected to dive deeper into virtual reality and artificial intelligence Wednesday during an annual conference that serves as a launching pad for its latest products and innovations. Although Google keeps its plans under wraps until the big event, the conference agenda makes it clear that virtual reality and artificial intelligence, or "machine learning," will be among the focal points. That has spurred speculation that Google is getting ready to release a virtual-reality device to compete with Facebook's new Oculus Rift headset, as well as the Samsung's Gear VR and the Vive from HTC and Valve. Reporters and bloggers from around the world will attend, ensuring that whatever the company unveils will also be featured in stories, pictures and video delivered to a vast audience of consumers. The three-day showcase also attracts thousands of computer programmers, giving Google an opportunity to convince them why they should design applications and other services that work with its gadgets and an array of software that includes the Chrome Web browser and Android operating system for mobile devices.

At this year's Google I/O developer's conference, the trends of the moment like artificial intelligence, chat bots and virtual reality could be poised to take center stage. The two-day annual event, which begins Wednesday for this year, is Google's biggest showcase and an opportunity for the company to interface with developers as they work together to shape new technology -- and how it can be used by the public. While Google isn't revealing its playbook yet, recent announcements from its competitors have set expectations. "Facebook came out and launched a couple rudimentary bots, Microsoft released an entire developer's kit," Patrick Moorhead, an analyst at Moor Insights & Strategy told ABC News. "We are really at another crossroads here, which is: Does Google come up with something different or do they join the bot party?"

Google is expected to dive deeper into virtual reality and artificial intelligence Wednesday during an annual conference that serves as a launching pad for its latest products and innovations. Although Google keeps its plans under wraps until the big event, the conference agenda makes it clear that virtual reality and artificial intelligence, or "machine learning," will be among the focal points. That has spurred speculation that Google is getting ready to release a virtual-reality device to compete with Facebook's new Oculus Rift headset, as well as the Samsung's Gear VR and the Vive from HTC and Valve. Reporters and bloggers from around the world will attend, ensuring that whatever the company unveils will also be featured in stories, pictures and video delivered to a vast audience of consumers. The three-day showcase also attracts thousands of computer programmers, giving Google an opportunity to convince them why they should design applications and other services that work with its gadgets and an array of software that includes the Chrome Web browser and Android operating system for mobile devices.

I understand basic neural networks (input layer, hidden layers, output layer) and gradient descent learning. However I keep hearing about news talking about neural networks painting and making jazz music. As I understand a neural network, you feed it the input data (i.e. a picture, music, ...) and it gives you some kind of classification on the result. But by reading those results it looks as if they were using the neural network to generate new results based on a training dataset. Because of that, I'm thinking the kind of neural networks they're referring to is essentially different from the ones I've studied, so I'd like to ask: What are the differences between classic neural networks and the ones used to run these experiments? What makes them fundamentally different so that they are able to generate results similar to its input?

Google is expected to dive deeper into virtual reality and artificial intelligence Wednesday during an annual conference that serves as a launching pad for its latest products and innovations. Although Google keeps its plans under wraps until the big event, the conference agenda makes it clear that virtual reality and artificial intelligence, or "machine learning," will be among the focal points. That has spurred speculation that Google is getting ready to release a virtual-reality device to compete with Facebook's new Oculus Rift headset, as well as the Samsung's Gear VR and the Vive from HTC and Valve. Reporters and bloggers from around the world will attend, ensuring that whatever the company unveils will also be featured in stories, pictures and video delivered to a vast audience of consumers. The three-day showcase also attracts thousands of computer programmers, giving Google an opportunity to convince them why they should design applications and other services that work with its gadgets and an array of software that includes the Chrome Web browser and Android operating system for mobile devices.

I will be in London, UK, at the Centre for Central Banking Studies, invited as a keynote speaker for a major conference.

A number of online neuroscience databases are available which provide information regarding gene expression, neurons, macroscopic brain structure, and neurological or psychiatric disorders. Some databases contain descriptive and numerical data, some to brain function, others offer access to'raw' imaging data, such as postmortem brain sections or 3D MRI and fMRI images. Some focus on the human brain, others on non-human. As the number of databases that seek to disseminate information about the structure, development and function of the brain has grown, so has the need to collate these resources themselves. As a result, there now exist databases of neuroscience databases, some of which reach over 3000 entries.[1]

SAN FRANCISCO - Google is expected to dive deeper into virtual reality and artificial intelligence Wednesday during an annual conference that serves as a launching pad for its latest products and innovations. Although Google keeps its plans under wraps until the big event, the conference agenda makes it clear that virtual reality and artificial intelligence, or "machine learning," will be among the focal points. That has spurred speculation that Google is getting ready to release a virtual-reality device to compete with Facebook's new Oculus Rift headset, as well as the Samsung's Gear VR and the Vive from HTC and Valve. Reporters and bloggers from around the world will attend, ensuring that whatever the company unveils will also be featured in stories, pictures and video delivered to a vast audience of consumers. The three-day showcase also attracts thousands of computer programmers, giving Google an opportunity to convince them why they should design applications and other services that work with its gadgets and an array of software that includes the Chrome Web browser and Android operating system for mobile devices.

How human vigor and algorithmic rigor are joining forces in the sales function. This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. We live in a data-saturated world where a great many of our interactions with other humans happen online. It makes sense then that one of the most human of business activities -- sales -- is currently undergoing a digital renaissance. While the sales function has historically relied on metrics, today there is far more sales-centric data, and far richer data, than ever.