Every week we tweet a lot of interesting stuff highlighting great content that we find on the web that can be of interest to web designers.

The best way to keep track of our tweets is simply to follow us on Twitter, however, in case you missed some here’s a quick and useful compilation of the best tweets that we sent out this past week.

Note that this is only a very small selection of the links that we tweeted about, so don’t miss out.

To keep up to date with all the cool links, simply follow us @DesignerDepot

The Top Five TED Talks to Inspire Your Small Business Marketing http://depot.ly/vqT7b

Finally — Two Harvard Students Have Created a Service That Allows You to Unsend Emails http://depot.ly/vqTdM

The woman behind MSFT’s Solitaire designs also did Apple’s early icons http://depot.ly/vqNt5  via @buildinternet

Responsive Email Patterns: A collection of patterns & modules for responsive emails http://depot.ly/vqgmU

The 15-Minute Social Media Audit Everyone Can Do http://depot.ly/vqcZ8  via @buffer

After period of neglect Apple opens ip iAd to “filmmakers, small business owners” http://depot.ly/vnsw3

The @IE team is now fully open about spec feature additions and runs a status page here: http://status.modern.ie/#/  via @codepo8

Microsoft unveils Cortana Assistant at Build Conference http://depot.ly/vnsoi  via @marketingland

April Fools’ Day 2014: The Best of the Brand Hoaxes http://depot.ly/vnrOa  via @Adweek

‘Dumb Ways to Die’ Creates a Lovably Lethal Greeting for April Fools’ http://depot.ly/vkb8x

.@venturebeat may have just found the worst group of investors in the world http://depot.ly/vkaRm

The Secret of Life from Steve Jobs in 46 Seconds http://depot.ly/vkaIo  via @brainpicker

Google Fiber: Introducing Coffee-to-the-Home http://depot.ly/vkb23

Nice tutorial about creating retro text effects with Illustrator’s Appearance Panel: http://depot.ly/vgRzf

What your logo’s color says about your company [Infographic] http://depot.ly/vgVnt  via @FastCompany

As a proof to the great password strength lie, see this ace explanation from @xkcd: http://depot.ly/vgRPG  via @speckyboy

Adobe sneaks new infographics tool for Illustrator http://depot.ly/vgRit

The Illustrated History of Twitter http://depot.ly/vbnlf

Want more? No problem! Keep track of all our tweets by following us @DesignerDepot

Improve Your Mac with Intego Washing Machine 2014 – only $17!

Editor’s Note: This information is posted on behalf of UMBC’s Division of Professional Studies, which offers a broad array of professionally focused master’s degrees and graduate certificates that help prepare professionals for today’s most in-demand careers.

On April 23, attend the Professional Graduate Program Open House at UMBC’s South Campus (bwtech@UMBC South), to learn about graduate programs in Biotechnology, Cybersecurity, Health Information Technology, Engineering Management and Systems Engineering.

During the session, there will be an opportunity to participate in discussions with program directors, staff and alumni, and meet Career Services representatives to learn about careers, job searching resources available and internships. Additionally, the Open House will provide an opportunity to learn about financing education, as well as the educational benefits available to veterans.

RSVP now for the Open House scheduled for Wednesday, April 23, 2014 from 6:00 PM – 7:30 PM.

Talking to Robots: Learning to Ground Human
Language in Robotic Perception

Cynthia Matuszek
University of Washington

1:00pm Monday, 7 April 2014, ITE325b, UMBC

Advances in computation, sensing, and hardware are enabling robots to perform an increasing variety of tasks in ever less constrained settings. It is now possible to imagine robots that can operate in traditionally human-centric settings. However, such robots need the flexibility to take instructions and learn about tasks from nonspecialists using language and other natural modalities. At the same time, learning to process natural language about the physical world is difficult without a robot’s sensors and actuators. Combining these areas to create useful robotic systems is a fundamentally multidisciplinary problem, requiring advances in natural language processing, machine learning, robotics, and human-robot interaction. In this talk, I describe my work on learning natural language from end users in a physical context; such language allows a person to communicate their needs in a natural, unscripted way. I demonstrate that this approach can enable a robot to follow directions, learn about novel objects in the world, and perform simple tasks such as navigating an unfamiliar map or putting away objects.

Cynthia Matuszek is a Ph.D. candidate in the University of Washington Computer Science and Engineering department, where she is a member of both the Robotics and State Estimation lab and the Language, Interaction, and Learning group. She earned a B.S. in Computer Science from the University of Texas at Austin, and M.Sc. from the University of Washington. She is published in the areas of artificial intelligence, robotics, ubiquitous computing, and human-robot interaction.

Talking to Robots: Learning to Ground Human
Language in Robotic Perception

Cynthia Matuszek
University of Washington

1:00pm Monday, 7 April 2014, ITE325b, UMBC

Advances in computation, sensing, and hardware are enabling robots to perform an increasing variety of tasks in ever less constrained settings. It is now possible to imagine robots that can operate in traditionally human-centric settings. However, such robots need the flexibility to take instructions and learn about tasks from nonspecialists using language and other natural modalities. At the same time, learning to process natural language about the physical world is difficult without a robot’s sensors and actuators. Combining these areas to create useful robotic systems is a fundamentally multidisciplinary problem, requiring advances in natural language processing, machine learning, robotics, and human-robot interaction. In this talk, I describe my work on learning natural language from end users in a physical context; such language allows a person to communicate their needs in a natural, unscripted way. I demonstrate that this approach can enable a robot to follow directions, learn about novel objects in the world, and perform simple tasks such as navigating an unfamiliar map or putting away objects.

Cynthia Matuszek is a Ph.D. candidate in the University of Washington Computer Science and Engineering department, where she is a member of both the Robotics and State Estimation lab and the Language, Interaction, and Learning group. She earned a B.S. in Computer Science from the University of Texas at Austin, and M.Sc. from the University of Washington. She is published in the areas of artificial intelligence, robotics, ubiquitous computing, and human-robot interaction.