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Parts of the technology community hope (and fear) that GPT-3 could brings us one step closer to the hypothetical future possibility of human-like, highly sophisticated artificial general intelligence (AGI). Meanwhile, others (including OpenAI’s own CEO) have critiqued claims about GPT-3’s ostensible proximity to AGI, arguing that they are vastly overstated.
Taking place on Sept 29-30 & Oct 6-7, the definitive conference for the industry returns, with speakers including Turing Award Winner David Patterson, and industry veteran & investor Vinod Khosla. 4 mornings of content, 1-2-1 networking, workshops and product launches.
In The News
IBM pledged that same week to stop developing facial recognition entirely, and Microsoft committed to withholding its system from police until federal regulations were passed.
The events also provoked Shakir Mohamed, a South African AI researcher at DeepMind, to reflect on what colonial legacies might exist in his research as well.
The tech giants’ latest machine-learning system comes with both ethical and environmental costs.
On March 25, 2019, the IEEE Standards Association published Ethically-Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems (PDF) covering the ethical dimensions of artificial intelligence embedded into different systems.
All of this is happening against a backdrop of increasing global discussions, reports, principles, white papers, and government action on responsible, ethical, and trustworthy AI.
Baxter, who at the time worked as a Salesforce User Experience Researcher, was inspired by this vision and began helping Einstein product teams identify potential ethical risks.
Applied use cases
AI Product Institute Volume 2 Automotive SAS reduces suspicious warranty claims and labor costs for 1200 Honda dealerships by using SAS AI solutions, SAS analytics, and SAS Forecast Server.
Chip has worked on ML research at Snorkel, NVIDIA, Netflix and Primer.
View all podcasts Chip Huyen is a writer and machine learning engineer currently working at Snorkel AI, a startup that focuses on machine learning production pipelines.
First, increasing government interest in AI-augmented surveillance systems to help counter COVID-19 led to a rapid acceleration in capabilities and increasingly broad applications.
Today Deep Learning is finally experiencing its star turn, driven by the explosive potential of Deep Neural Network algorithms and hardware advancements.
After a few weeks of crisis management and making a hundred decisions a day, we started to settle into a new rhythm… only to face another new environment during the mass protests for racial equality.
The algorithm, called machine inferred code similarity (MISIM), is the brainchild of researchers from Intel, Georgia Institute of Technology, University of Pennsylvania, and MIT.
Understanding how AI models reason about what they see Bottom line: “We propose a principled approach to isolate, analyze, and interpret how visual question-answering models reason about what they see.”
The company’s Neural Decision Processors with Alexa Voice Service firmware offer wake word, command word, and event detection in a package with a claimed “near-zero” power consumption.
Natural language processing (NLP) research predominantly focuses on developing methods that work well for English despite the many positive benefits of working on other languages.