AI Features – Page 172
- Overcoming The Language Barrier In NLP
It is important to build models that include the diverse range of languages spoken all over the world
Sreejani Bhattacharyya ·
- Checklist Of Things That Might Go Wrong While Labeling Data And How To Fix Them
Roger Max ·
- Council Post: Re-imagining Business Value Creation Through AI
Ashwin Mittal ·
- Is There An Antidote To The Black Box Problem Of NLP
The opacity of NLP models, in particular, makes training and deployment of models like T5 and GPT-3 extremely difficult since they are opaque in their knowledge representation and backing claims with provenance.
Shraddha Goled ·
- Council Post: Building Human-In-The-Loop Systems
Ashwin Swarup ·
- Data Science Professionals Need To Have Domain Knowledge: Sreetama Das, GSK
AI-based solutions make it easier for patients to obtain health monitoring, disease detection, and treatment outcomes.
Dr. Nivash Jeevanandam ·
- Stanford Brings Out BEHAVIOR Benchmark For 100 Everyday Household Tasks
BEHAVIOR is a benchmark for embodied AI with 100 everyday activities
Sreejani Bhattacharyya ·
- The First Quantum Toolkit And Library For Natural Language Processing
QNLP applications can be developed more quickly if lambeq converts words into quantum circuits.
Dr. Nivash Jeevanandam ·
- ThreeDWorld: AI Platform For Realistic 3D World Simulation
In a virtual world, the 3DWorld simulates real-world mechanics and graphics.
Dr. Nivash Jeevanandam ·
- Should SMBs Hire Tech Talent Or Outsource?
Building an in-house tech team is difficult, and so is explaining your requirements to the outsourced company. With budget and time constraints, SMBs and startups must choose the best that suits their needs.
Meeta Ramnani ·
- Everything Is Not 'Made in China,' Especially Chips
Alibaba Cloud's announcement of their latest server chips has brought all eyes to China for producing microprocessors, but it seems that there is still quite a long road
Meeta Ramnani ·
- Council Post: AI Is Not Just Data Sciences
Anirban Nandi ·
- Council Post: Notes on the Nuances of Leadership
nidhi.pratapneni ·
- Now AI Tells You If It Will Pour In The Next Two Hours
DeepMind used deep generative models (DGMS), which essentially learn probability distributions of data and allow for easy generation of samples from their learned distributions
Sreejani Bhattacharyya ·
- Facebook Loves Self-Supervised Learning. Period.
Facebook believes that self-supervision is one step on the path to human-level intelligence.
Amit Naik ·
- All About Digital Twins: Interview With Vinay Jammu, GE Digital
Digital Twins follow the “Garbage-In Garbage-out” principle. If the right data is not made available, Digital Twins will not perform well.
Shraddha Goled ·
- How Artificial Intelligence Is Impacting Hearing Aid
Prasidha.Ramnathan ·
- How Good Is Self-Supervised Learning For Anomaly Detection
Anomaly detection is used to detect fraud and identify intrusions, and figure ecosystem disturbances.
Debolina Biswas ·
- Mayo Clinic Introduces New Algorithm To Improve Brain Stimulation
In collaboration with an international AI expert, the researchers have termed a new algorithm called 'Basis Profile Curve Identification'.
Avi Gopani ·
- It’s Time For CXOs To Stop Being ‘Digital Commuters’ & Become A ‘Digital Driver’: Chris Chelliah, Oracle JAPAC
AIM Media House ·