top of page
Search
  • Writer's pictureDror

AI and Machine learning

https://exchange.xforce.ibmcloud.com/collection/XFTAS-Daily-Threat-Assessment-for-December-22-2017-2fd72cbf83b365bf85477e8985179f32

26 views5 comments

Recent Posts

See All

5 Komentar


Dror
Dror
18 Jan 2018

Ingestible robots, glasses-free 3-D, and computers that explain themselves

A look at 16 of the coolest things that happened at the Computer Science and Artificial Intelligence Laboratory in 2016.

Watch Video

Rachel Gordon | CSAIL

December 16, 2016

Machines that predict the future, robots that patch wounds, and wireless emotion-detectors are just a few of the exciting projects that came out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) this year. Here’s a sampling of 16 highlights from 2016 that span the many computer science disciplines that make up CSAIL.

Read-More

Suka

Dror
Dror
18 Jan 2018


Building the hardware for the next generation of artificial intelligence

Class taught by Vivienne Sze and Joel Emer brings together traditionally separate disciplines for advances in deep learning.


Meg Murphy | School of Engineering

November 30, 2017


On a recent Monday morning, Vivienne Sze, an associate professor of electrical engineering and computer science at MIT, spoke with enthusiasm about network architecture design. Her students nodded slowly, as if on the verge of comprehension. When the material clicked, the nods grew in speed and confidence. “Everything crystal clear?” she asked with a brief pause and a return nod before diving back in.


This new course, 6.S082/6.888 (Hardware Architecture for Deep Learning), is modest in size — capped at 25 for now…

Suka

Dror
Dror
18 Jan 2018

Inventing the “Google” for predictive analytics

Platform analyzes big data to answer plain-language business queries in minutes instead of months.



Rob Matheson | MIT News Office

December 19, 2017


Companies often employ number-crunching data scientists to gather insights such as which customers want certain services or where to open new stores and stock products. Analyzing the data to answer one or two of those queries, however, can take weeks or even months.


Now MIT spinout Endor has developed a predictive-analytics platform that lets anyone, tech-savvy or not, upload raw data and input any business question into an interface — similar to using an online search engine — and receive accurate answers in just 15 minutes.

MIT News


Suka

Dror
Dror
18 Jan 2018

To Use Chatbot Buttons or Not to Use Chatbot Buttons


https://chatbotslife.com/tagged/artificial-intelligence


Suka

Dror
Dror
18 Jan 2018

Top Reasons Your Company Needs A Facebook Bot

Chatbots are one of the best forms of Artificial Technology gaining traction day by day. Businesses in every vertical are introducing bots to interact with their customers.

https://chatbotslife.com/top-reasons-your-company-needs-a-facebook-bot-d8aae7eae887

Suka
bottom of page