[ad_1] Posted by Malaya Jules, Program Manager, Google This week, the Conference on Human Factors in Computing Systems (CHI 2023) is being held in Hamburg, Germany. We are proud to be a Hero Sponsor of CHI 2023, a premier conference on human-computer interaction, where Google researchers contribute at all levels. This year we are presenting…
Category: Artificial Intelligence
From Detection to Correction: How to Keep Your Production Data Clean and Reliable | by Youssef Hosni | Apr, 2023
[ad_1] In Production ML, data quality is everything. No matter how great your models or algorithms are, if the data you feed them is garbage, you’ll get garbage results. But how can you tell if your data is good or bad? That’s what we’re going to explore in this article. We’ll start by discussing the…
How can we develop human values into AI?
[ad_1] Drawing from philosophy to identify fair principles for ethical AI As synthetic intelligence (AI) becomes far more potent and a lot more deeply built-in into our life, the concerns of how it is applied and deployed are all the additional important. What values information AI? Whose values are they? And how are they chosen?…
Meet Chameleon: A Plug-and-Participate in Compositional Reasoning Framework that Harnesses the Capabilities of Significant Language Versions
[ad_1] Modern big language designs (LLMs) for diverse NLP jobs have created remarkable strides, with notable illustrations being GPT-3, PaLM, LLaMA, ChatGPT, and the additional recently proposed GPT-4. These products have great guarantee for organizing and generating choices related to individuals due to the fact they can resolve several responsibilities in zero-shot scenarios or with…
Omniverse Connector for Unreal Engine Saves Content Creators Time, Effort
[ad_1] Content creators using Epic Games’ open, advanced real-time 3D creation tool, Unreal Engine, are now equipped with more features to bring their work to life with NVIDIA Omniverse, a platform for creating and operating metaverse applications. The Omniverse Connector for Unreal Engine’s 201.0 update brings significant enhancements to creative workflows using both open platforms….
Dolly 2.: ChatGPT Open Supply Different for Business Use
[ad_1] Picture from Creator | Bing Image Creator Dolly 2. is an open up-resource, instruction-adopted, big language model (LLM) that was great-tuned on a human-created dataset. It can be made use of for both equally investigate and commercial functions. Impression from Hugging Confront Place by RamAnanth1 Beforehand, the Databricks workforce launched Dolly…
Survival Analysis: Leveraging Deep Learning for Time-to-Event Forecasting | by Lina Faik | Apr, 2023
[ad_1] Illustration by the author Practical Application to Rehospitalization Survival models are great for predicting the time for an event to occur. These models can be used in a wide variety of use cases including predictive maintenance (forecasting when a machine is likely to break down), marketing analytics (anticipating customer churn), patient monitoring (predicting a…
Data Scientist Resume Guide – Analytics Vidhya
[ad_1] Introduction Data science resumes are summaries of the education and work experience of data scientists and data science aspirants. The resume aims to present the candidate’s qualifications to potential employers and help secure lucrative professional opportunities. Since hiring managers typically just give resumes a cursory 30-second glance, your resume serves as their initial impression…
Drones navigate unseen environments with liquid neural networks | MIT Information
[ad_1] In the large, expansive skies the place birds as soon as ruled supreme, a new crop of aviators is getting flight. These pioneers of the air are not dwelling creatures, but rather a merchandise of deliberate innovation: drones. But these are not your usual traveling bots, humming close to like mechanical bees. Alternatively, they…
Recent advances in deep long-horizon forecasting – Google AI Blog
[ad_1] Posted by Rajat Sen and Abhimanyu Das, Research Scientists, Google Research Time-series forecasting is an important research area that is critical to several scientific and industrial applications, like retail supply chain optimization, energy and traffic prediction, and weather forecasting. In retail use cases, for example, it has been observed that improving demand forecasting accuracy…