Name: String Quartet Original by IBM Research
Duration: 1 min 19 s
Description: Watson Beat is a machine deep learning algorithm that learns and creates music. IBM researchers are teaching a complex neural network to understand music theory, structure (pitch, time signature, key signature), emotional intent and co-create music with a human partner. Here are some of the results.

Inspired by her father and motivated by her daughter, Luba Cherbakov describes her inspirational journey toward winning IBM's highest technical honor.    

This is the debut podcast for the Technologista series placing a spotlight on women's experiences in engineering and technology from their own perspective.   

Click the play button to enjoy Luba's story and share your own experience with fellow women in technology by joining our LinkedIn discussion: http://bit.ly/IBMdiscussion

Luba Cherbakov on pursuing greatness in technology

IBM Distinguished Engineer, Dale Davis Jones, shares her ambitions for improving the world while leaving a legacy for women in technology and women of color.

This is the second podcast for the Technologista series that is placing a spotlight on women's experiences in engineering and technology from their own perspective.

Click the play button to enjoy Dale's story and share your experience with fellow women in technology by joining the LinkedIn discussion taking place here: http://bit.ly/IBMseriesdiscuss

Dale Davis Jones on building a legacy for women in technology

IBM Master Inventor Lisa Seacat DeLuca describes how she stays at the forefront of mobile and cloud innovation. She shares how she has filed more patents than any other woman at IBM while raising young twin boys.

This is the fourth podcast for the Technologista series that is placing a spotlight on women's experiences in engineering and technology from their own perspective.

Click the play button to enjoy Lisa’s story and share your experience with fellow women in technology by joining the LinkedIn discussion taking place here: https://bit.ly/IBMlsdiscussion

Lisa Seacat DeLuca on integrating roles of mom & master inventor

IBM Analytics Strategist Marie Wallace from Dublin, Ireland, describes how she turned pushbacks into a driver to pursue a career in technology and built LanguageWare, a piece of IBM Watson. Marie confides how she chose the right path for her and navigates work-life integration in a technological role.

This is the second year and premiere podcast for the 2014 Technologista Interview Series, which places a spotlight on women's experiences in engineering and technology from their own perspective.

Click the play button to hear Marie share her story.

We’d love to hear your thoughts! Please share your comments about Marie’s story, or your own, below:

Marie Wallace sheds insight on elegance and diversity, IBM Watson and thinking with the heart

IBMer Romelia Flores and Adafruit Industries’ Limor Fried talk about the frontier of technology, women’s contributions to the industry, and what they are dong to bridge the gender gap within the field.

Romelia Flores and Limor Fried tackle why tech is the place for girls and women

Almost nothing frightens us as much as mental illness. If only we had a way of knowing who was likely to succumb to it. We could anticipate a psychotic break and, optimally, deliver an effective therapy to treat or manage it.

IBM physicist Guillermo Cecchi and his colleagues in computer science and psychiatry have developed an algorithm that infers a schizophrenic break from an individual’s language patterns. In this episode of Inside IBM Research, he talks about a multidisciplinary study that will help psychiatrists anticipate serious mental illness — and help society ease human suffering.

Check back in January 2016 for a complete transcript.

Related links

Guillermo Cecchi
http://researcher.watson.ibm.com/researcher/view.php?person=us-gcecchi

Inside IBM Research
http://researcher.watson.ibm.com/researcher/view_group.php?id=5665

Why Are Computers So Accurate at Predicting Schizophrenia? [Forbes]
http://www.forbes.com/sites/michaelthomsen/2015/09/20/why-are-computers-so-accurate-at-predicting-schizophrenia/

Computers Can Predict Schizophrenia Based on How a Person Talks [The Atlantic]
http://www.theatlantic.com/technology/archive/2015/08/speech-analysis-schizophrenia-algorithm/402265/

Look Who Is Getting Into Mental Health Research [NIH]
http://www.nimh.nih.gov/about/director/2015/look-who-is-getting-into-mental-health-research.shtml

Word Analysis Proves Effective Pre-Psychosis Diagnosis [Building a Smarter Planet]
http://asmarterplanet.com/blog/2015/08/word-analysis-proves-effective-pre-psychosis-diagnosis.html



Using An Algorithm To Predict Schizophrenia

Watson Beat is a machine deep learning algorithm that learns and creates music. IBM researchers are teaching a complex neural network to understand music theory, structure (pitch, time signature, key signature), emotional intent and co-create music with a human partner. Here are some of the results.

Juniper Breeze Original

String Quartet Original

The team at the African Tech Round-up is on break, but while we’re away over the next four weeks, the show will go on! 

In place of our regular programming, we’ll share sneak-previews of episodes from the brand-spanking new season of the African Tech Conversations series which starts on Friday, December 16th, 2016. The series features the likes of Eline Blaauboer, Managing Partner at TBL Mirror Fund and Safaricom Spark Venture Fund, Chad Larson, Co-founder and Chief Credit Officer at M-KOPA, Simon Carpenter, Chief Technology Advisor at SAP Africa, and more.

This week we’re ringing in the Festive Season by sharing moments from Andile Masuku's in-depth conversation with the Ethiopian-born, Dr Solomon Assefa, who is the Director of IBM Research in Africa.

Music Credits:
Music by Kevin MacLeod (incompetech.com)
Music licensed under Creative Commons: By Attribution

African Tech Round-up

Ringing In The Festive Season With Dr Solomon Assefa of IBM

This is the official Soundcloud account for IBM Research. It is managed by Chelsea Dubner and Chris Nay and follows IBM social media guidelines.

String Quartet Original

IBM Research

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