The finale of the Deep Learning Indaba
My People, my fellow techies, and tech enthusiasts💖. I am not only happy for the support but also this blog has made me venture into writing more continuously and learning when at it and am happy to serve in the tech community by writing blogs.
THE MAATHAI IMPACT AWARD.
The Maathai Impact Award encourages and recognizes work by African innovators that shows the impactful application of machine learning and artificial intelligence.
This award reinforces the legacy of Wangari Maathai in acknowledging the capacity of individuals to be a positive force for change: by recognizing ideas and initiatives that demonstrate that each of us, no matter how small, can make a difference.
The award will be presented at the annual Deep Learning Indaba in August 2019. We welcome applications from individuals, teams, and organizations themselves, or nominations by third parties.
In partnership with Black in AI, the winner will receive a fully-sponsored trip to attend NeurIPS 2019 and the Black in AI workshop, co-located with NeurIPS, in December 2019. The winner was also invited to speak at the Deep Learning Indaba in Nairobi on August 2019.
Data Science Nigeria.
Olubayo took as through the accomplishment he has done in Nigeria in spreading data science. I felt really motivated for the passion he showed even as he illustrated the things he was working on in the tech field. Sometimes it's not all about the money, the impact you live in people is more important.😎😄
look into bit.ly/DSNReport
STARTUPS & INNOVATION by Karim Beguir, Stewart Reid
A startup is a company that is in the first stage of its operations. These companies are often initially bankrolled by their entrepreneurial founders as they attempt to capitalize on developing a product or service for which they believe there is a demand.
Innovation is the process of translating an idea or invention into a good or service that creates value or for which customers will pay. … In business, innovation often results when ideas are applied by the company in order to further satisfy the needs and expectations of the customers.
Like for real this guys got you covered😄, this awesome slides from Instadeep have highlighted the foundation of having a startup. I recommend this as much I would recommend Upgrade the movie to any AI enthusiasts.😂🤣
MACHINE LEARNING IN PRODUCTION by Daniele Orner, Njoroge Kinyanjui, Tempest Van Schalk, Jade Abbott, Amel Sellami, Brian Muhia
MACHINE LEARNING IN THE HEALTHCARE by Prof. Delmiro Fernandez-Reyes.
AI has multiple impacts across the entire healthcare industry, but they can typically be categorized as aiding with one or more of the following.
- Keeping Well: New innovations like the smart belt, which warns people when they overeat, are helping to usher in a new era of preventative healthcare. The goal is to keep people well and to stop people from having to seek treatment in the first place.
- Early Detection: When problems do occur, AI can help to spot them earlier. For example, Microsoft is developing computers that work on a molecular level to fight cancer cells as soon as they’re spotted. AI is also being used to analyze online search engine behavior to spot mental health issues.
- Diagnosis: AI can help physicians to diagnose patients more quickly and arrive at insights based upon the 80% of health data that’s invisible to current systems because it’s unstructured.
- Decision-making: Clinical decision support systems and other AI-based tools can help doctors and patients to prioritize tasks. Examples include Quest Diagnostics’ Quantum and VitreosHealth.
- Treatment: AI-based tools are already being used across the board. Google DeepMind is reducing the time it takes to plan radiotherapy treatment while IBM’s Watson is making treatment recommendations based on patients’ medical records around the world, including in China, Thailand, and India.
- End of Life Care: We’re living longer than ever, and our aging society is requiring more and more care at the end of their lives. AI-powered virtual assistants and even robots are being touted as the future, and indeed robots are already being used to care for the elderly in Japan.
- Research: AI can help to uncover new drugs and treatments, but it can also be used to research the diseases themselves, potentially allowing us to inoculate against them or to eliminate them. For example, Canadian start-up Meta uses AI to quickly analyze scientific papers and to provide easy insights.
- Training: AI-powered simulations can help surgeons and other healthcare professionals to hone their craft without putting real patients at risk. AI models are generally more realistic and reliable, and one of the advantages of using AI for training is that it can tailor the training to each different individual.
Dive in-depth with Prof.Fernandez Delmiro in the slides below.
reference: Victor Savevski
NATURAL LANGUAGE PROCESSING by Dr. Vukosi , Stephan Gouws,
Natural Language Processing, usually shortened as NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language.
The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable.
Most NLP techniques rely on machine learning to derive meaning from human languages.
reference: Dr. Michael J. Garbade
DIVE DEEP 😃✔link below😄
COMPUTER VISION BY Manohar Paluri, Natalia Neverova, Laura Sevilla
Computer Vision, often abbreviated as CV, is defined as a field of study that seeks to develop techniques to help computers “see” and understand the content of digital images such as photographs and videos.
The problem of computer vision appears simple because it is trivially solved by people, even very young children. Nevertheless, it largely remains an unsolved problem based both on the limited understanding of biological vision and because of the complexity of visual perception in a dynamic and nearly infinitely varying physical world.
luckily, I got the amazing simplified slides from the best speakers Manohar Paluri, Natalia Neverova, Laura Sevilla.
MAKERS SESSION by Dr. Ciira wa Maina.
Dr Ciira wa Maina is widely known as a leader in the African machine learning community, driving forward research and teaching, and especially one of the driving forces of Data Science Africa (DSA).
Ciira graduated from the University of Nairobi, Kenya with a Bsc. degree in Electrical Engineering (First class honors) in 2007 and with a Ph.D. from Drexel University in Philadelphia, USA in September 2011. At Drexel he was a member of the Adaptive Signal Processing and Information Theory Research Group, directed by Prof. John MacLaren Walsh. Between October 2011 and August 2013 he was a postdoctoral researcher in computational Biology working with Prof. Magnus Rattray and Prof. Neil Lawrence at the University of Sheffield. Since September 2013 he has been a Lecturer in Electrical Engineering at the Dedan Kimathi University of Technology in Nyeri, Kenya.
I enjoyed the practical and learned a lot. Shout out to Dedan Kimathi University Of Technology(Dekut)👍👏
I did not attend some talks due to the physical impossibility of being two places at the same time but here are some of the links that you can peruse through to learn.
AI IN KENYA Fiona Rasanga
ARTIFICIAL INTELLIGENCE AND FAIRNESS Raymond Onuoha.
REINFORCEMENT LEARNING FOR ROBOTICS BY George Konidaris.
ATTENTION + MEMORY BY Aidan Gomez + Kris Sankaran.
BAYESIAN OPTIMIZATION AND HYPERPARAMETER SEARCH BY Dr. Marc Deisenroth.
INTRODUCTION TO BAYESIAN INFERENCE BY Ulrich Paquet
Sunday 25 August - Introduction to Bayesian Inference - Ulrich Paquet.pdf
DEEP GENERATIVE MODELS BY Adji Bousso Dieng
We also had a very important guest, East Africa’s youngest ambassador for climate change, 9-year-old @EllyanneCGithae who advocates for using AI for education, health, climate change.
When I was 9 the best I could do was,
What did I learn from Indaba 2019?
Other than the awesome lectures, I have learned how to network and also to have passion in all you do for times will get hard at higher altitude but your passion will push you to extreme heights. 🏫
Thanks to all the event sponsors for this wouldn’t have come to be without you guys and the volunteers😊. To all speakers, you were great and your dedication to guiding us, learners, through the sessions won't go unrecognized. Thanks😊
Speakers at the 2019 Indaba
Bios for speakers at the Deep Learning Indaba 2019
THAT'S THE END OF THE INDABA 2019 BLOG WELL, FROM AUDACIOUS.🌚
RATING THE EVENT AS ⭐⭐⭐⭐⭐
Did I mention we had a closing party that was the bomb🔥 @safariparkhotel.
Anyway, Feel free to reach me at email@example.com for any suggestions or slides I got you.
With lots of love, Audacious😍 ♥