EmTech Next, MIT Technology Review’s signature digital transformation conference, is June 13-15, 2023. This year’s event looks at the game-changing power of generative AI, the technology, and the legal implications of generated content. Leaders from OpenAI, Google, Meta, NVIDIA, and more are expected to discuss the future of AI.
Similar Posts
Latest from IBM Developer : Monitor Azure machine learning with Watson OpenScale
Summary This code pattern uses a German Credit data set to create a logistic regression model using Azure. The pattern uses Watson OpenScale to bind the machine learning model deployed in the Azure cloud, create a subscription, and perform payload and feedback logging. Description With Watson OpenScale, you can monitor model quality and log payloads,…
Latest from Google AI – IndoorSim-to-OutdoorReal: Learning to navigate outdoors without any outdoor experience
Posted by Joanne Truong, Student Researcher, and Wenhao Yu, Research Scientist, Robotics at Google Teaching mobile robots to navigate in complex outdoor environments is critical to real-world applications, such as delivery or search and rescue. However, this is also a challenging problem as the robot needs to perceive its surroundings, and then explore to identify…
Latest from MIT Tech Review – How three filmmakers created Sora’s latest stunning videos
In the last month, a handful of filmmakers have taken Sora for a test drive. The results, which OpenAI published this week, are amazing. The short films are a big jump up even from the cherrypicked demo videos that OpenAI used to tease its new generative model just six weeks ago. Here’s how three of…
Latest from MIT : Large language models are biased. Can logic help save them?
Turns out, even language models “think” they’re biased. When prompted in ChatGPT, the response was as follows: “Yes, language models can have biases, because the training data reflects the biases present in society from which that data was collected. For example, gender and racial biases are prevalent in many real-world datasets, and if a language…
Latest from MIT : Multiple AI models help robots execute complex plans more transparently
Your daily to-do list is likely pretty straightforward: wash the dishes, buy groceries, and other minutiae. It’s unlikely you wrote out “pick up the first dirty dish,” or “wash that plate with a sponge,” because each of these miniature steps within the chore feels intuitive. While we can routinely complete each step without much thought,…
Latest from Google AI – High-Definition Segmentation in Google Meet
Posted by Tingbo Hou and Juhyun Lee, Software Engineers, Google In recent years video conferencing has played an increasingly important role in both work and personal communication for many users. Over the past two years, we have enhanced this experience in Google Meet by introducing privacy-preserving machine learning (ML) powered background features, also known as…