R&D Innovations

ASAPP—Why a little increase in transcription accuracy is such a big deal

Why a little increase in transcription accuracy is such a big deal

Highly accurate speech-to-text transcription can provide tremendous value, but most off-the-shelf ASR models struggle with the words that matter most. Read more

AustinMeyer
Austin Meyer

Head of Solution Design at ASAPP

ASAPP—Why a little increase in transcription accuracy is such a big deal
ASAPP—Task-oriented dialogue systems could be better. Here’s a new dataset to help.

Task-oriented dialogue systems could be better. Here’s a new dataset to help.

Dialogue State Tracking has run its course. That’s why we’re establishing a new Action-Based Conversations Dataset. Read more

Derek Chen
Derek Chen

Research Scientist at ASAPP

ASAPP—Task-oriented dialogue systems could be better. Here’s a new dataset to help.
ASAPP—Reduce wait times, increase CSAT scores. But, how?

Reduce wait times, increase CSAT scores. But, how?

Customers don’t like to wait. That’s no surprise. But, did you know keeping them waiting impacts CSAT scores, loyalty, and lifetime value? Read more

Denton Zhao
Denton Zhao

Data Scientist, ASAPP

ASAPP—Reduce wait times, increase CSAT scores. But, how?
ASAPP—Addressing Instabilities For Few-sample BERT Fine-tuning

Addressing instabilities for few-sample BERT fine-tuning

Building on recent advances in natural language processing, new research from Felix Wu identifies ways to significantly stabilize BERT fine-tuning on small datasets. Read more

Felix Wu
Felix Wu, PhD

Research Scientist at ASAPP

ASAPP—Addressing Instabilities For Few-sample BERT Fine-tuning
ASAPP—Filling in the missing pieces for automation

Filling in the missing pieces for automation

Natural language input can be hard to classify. ASAPP research goes beyond conventional methods, building better systems to inform more accurate automation. Read more

Yoav Artzi
Yoav Artzi

Research Fellow at ASAPP

ASAPP—Filling in the missing pieces for automation
ASAPP—From Network Compression to DenseNets

From network compression to DenseNets

Neural Network Compression. What is it, and why does it matter? Here’s a look at what led to the development of DenseNets for parameter-efficient networks with significantly more accurate predictions. Read more

Kilian Weinberger
Kilian Weinberger, PhD

Principal Scientist and Head of ASAPP Ithaca Research Lab

ASAPP—From Network Compression to DenseNets
ASAPP—Increasing Agent Concurrency without Overwhelming Agents

Increasing agent concurrency without overwhelming agents

Empower your agents to handle multiple conversations at once the smart way. Use machine learning to dynamically adjust concurrency based on multiple factors. Read more

Cosima Travis
Cosima Travis

Director of Product Management, ASAPP

ASAPP—Increasing Agent Concurrency without Overwhelming Agents
Why I joined ASAPP: This holistic approach takes AI to new levels

Why I joined ASAPP: Taking AI to new levels in enterprise solutions

Ryan McDonald, PhD shares his excitement about joining ASAPP, and the opportunity to build revolutionary products that are AI-centric from concept. Read more

Ryan McDonald
Ryan McDonald, PhD

Chief Scientist at ASAPP

Why I joined ASAPP: This holistic approach takes AI to new levels
ASAPP—Gustavo Sapoznik

Our big product visions are unlocked by our deep research capabilities

ASAPP has an innovative vision for how to solve CX performance problems. To achieve this vision, our research team continually pushes the boundaries of what’s possible in AI. Watch now

Gustavo Sapoznik
Gustavo Sapoznik

Founder and CEO, ASAPP

ASAPP—Gustavo Sapoznik
ASAPP—Reducing the High Cost and Carbon Footprint of Training NLP Models With SRU ++

Reducing the high cost of training NLP models with SRU++

Highly expressive and efficient neural models can be designed using SRU++ with little attention computation needed. Read more

Tao Lei
Tao Lei, PhD

Research Leader and Scientist at ASAPP

ASAPP—Reducing the High Cost and Carbon Footprint of Training NLP Models With SRU ++