The Internet is pretty big. But when you need a hand in this ocean of useless data, a search engine is your friend. In this journey through the web, we will understand which algorithms and techniques form a search engine and what we need to create … Read more
iPhone X’s Face ID using Deep Learning
Hello Norman. Recently you’ve presented to the members of the Facebook Developer Circle community your talk on "How I implemented iPhone X's Face ID using Deep Learning". Would you like to tell us what it was about? I gladly accepted the … Read more
Scaling is Caring: scalable pipelines for machine learning in healthcare
Artificial intelligence is a true game-changer in many fields. But in healthcare, it promises to actually save and transform lives. Pacmed is a Dutch startup specialising in applying AI to healthcare, focusing on intensive care units. In his talk at … Read more
Conversation AI is the new UX
The use of chatbots is a fast-growing business that meets the needs of all stakeholders involved. According to some recent researches, 80% of custom interactions can be resolved by well-designed bots (Accenture), 60% of the consumers want easier … Read more
From artificial intelligence to generative deep learning
In recent years, artificial intelligence has evolved at an exponential rate, especially after a new kind, or perhaps an improvement, of machine learning emerged, namely deep learning. Deep learning techniques renewed neural networks both by defining … Read more
Understanding AI: Training
Artificial intelligence (AI) and machine learning are terms informally used to mean a machine’s ability to mimic human cognitive functions, such as perceiving, reasoning and problem-solving. With human-like abilities to “think,” AI is taking on … Read more
Understanding AI: Inference
Inferencing is the second phase of machine learning, following on from the initial training phase. During the training phase, the algorithm generates a new model or repurposes a pre-trained model for a specific application and helps the model learn … Read more
Overselling can hurt AI
AI is becoming more and more pervasive in our lives and as a consequence we are getting aware of its benefits as well as of its limitations. At Codemotion Milan 2019, Nicole Alexander will explain one of the main concerns of data scientists nowadays … Read more
Local Data Science is dead: AI with a DevOp mindset
Thiago de Faria, Solution Engineer at Linkit, strongly believes that the entire data science (ML, AI) pipeline should be processed online. This is only one of the cultural limitations of a developing world torn between computer science degrees and … Read more
Interview with Ashi Krishnan
GitHub’s Ashi Krishnan is a senior software engineer and visual poet. If you’re wondering how these two worlds could possibly come together, Ashi’s inspiring Codemotion talks at Berlin and Milan explained all. In her talk, Living Things, Ashi … Read more
Interview with Alex Fernández
Álex Fernández is a senior developer at Devo, a thriving Spanish company that collects huge amounts of data and keeps it in a searchable format for its customers. At a time when the collection and storage of data is a hot topic, the company is … Read more
Interview with Christian Heilmann: the endless possibilities of AI in our daily lives
As a developer evangelist, Christian Heilmann is committed to making code and coders work efficiently and getting more done quickly without losing understanding about what we do or compromising on quality. After dedicating the last 20 years of his … Read more