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Artificial Intelligence

Top news of the week: 12.10.2022.

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@jeremyphoward shared
On Oct 10, 2022
RT @swyx: 🆕 How Open Source is eating AI https://t.co/HKdZouMIxZ The best delivery mechanism for AI is @GitHub + @GoogleColab + @Huggingface, not APIs. • The #Dreambooth example • What OSS does that Research doesnt • The 3 biggest issues of Open Source AI Let's think step by step:
Open
How Open Source is eating AI

How Open Source is eating AI

Why the best delivery mechanism for AI is not APIs

@stanfordnlp shared
On Oct 5, 2022
For this week's NLP Seminar, we are excited to host @mohitban47! Mohit will talk about Unified and Efficient Multimodal Pretraining Across Vision and Language. Join us at 11 am PDT on Zoom. Registration Link: https://t.co/5ckJJTikcs ; Abstract: https://t.co/03f8T6dMs3 https://t.co/fR0aHF6lh2
Open
The Stanford Natural Language Processing Group

The Stanford Natural Language Processing Group

Unified and Efficient Multimodal Pretraining Across Vision and Language Mohit Bansal, UNC Chapel Hill Venue: Zoom (link hidden) Abstract In this talk, I will present work on …

@stanfordnlp shared
On Oct 12, 2022
RT @AshwinParanjape: Today's voice agents have stilted conversations. Unlike humans, they don't use silences and backchannels (like hmm, uh-huh) to know when to talk or stop. Our fix (work with @Sylvia_Sparkle,@chrmanning) featured by @prabhaismyname in @StanfordHAI blog: https://t.co/BeSApNpROH
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Is It My Turn Yet? Teaching a Voice Assistant When to Speak

Is It My Turn Yet? Teaching a Voice Assistant When to Speak

Predicting initiation points based on voice intonation instead of silence detection could lead to the next generation of voice assistant technology.

@weballergy shared
On Oct 5, 2022
RT @IasonGabriel: Please check out this exciting opportunity to join the Ethics Research Team @DeepMind! The focus of this position is moral & political philosophy. Together we'll tackle some of the hardest questions in AI ethics, including value alignment: https://t.co/C1YplMfySn
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Ethics Research Scientist

Ethics Research Scientist

London, UK

@xamat shared
On Oct 12, 2022
RT @_akhaliq: Scaling Forward Gradient With Local Losses abs: https://t.co/gwAsyFW4kw github: https://t.co/HJrKAC1wFB approach matches backprop on MNIST and CIFAR-10 and significantly outperforms previously proposed backprop-free algorithms on ImageNet https://t.co/sOboDTTK15
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Scaling Forward Gradient With Local Losses

Scaling Forward Gradient With Local Losses

Forward gradient learning computes a noisy directional gradient and is a biologically plausible alternative to backprop for learning deep neural networks. However, the standard forward ...

@mat_kelcey shared
On Oct 10, 2022
RT @EdgeImpulse: We're excited to release Performance Calibration — a new tool that allows you to simulate your event detection model’s performance in the field, providing immediate insight into how it'll perform in the real world at the click of a button: https://t.co/EqrSqc4Tlh https://t.co/Pam2XTunwv
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Announcing Performance Calibration

Announcing Performance Calibration

Performance Calibration lets you test, fine-tune, and simulate running event detection models using continuous real-world or synthetically generated data.

@jackclarkSF shared
On Oct 5, 2022
RT @DAIRInstitute: We are hiring a senior community-based researcher. Full job ad and application here: https://t.co/9KOCe1ps2p
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Senior Community-Based Researcher - Distributed AI Research Institute

Senior Community-Based Researcher - Distributed AI Research Institute

We envision a future where communities build technology infrastructure that reflect their values.

@etzioni shared
On Oct 8, 2022
5 questions for Oren Etzioni https://t.co/579DHvjAcR via @politico
Open
5 questions for Oren Etzioni

5 questions for Oren Etzioni

Read on to hear his thoughts about augmented intelligence, high-skilled immigration and the “big bang” moment for powerful image generation models. I sit on the Biden …

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