Bottleneck Transformers: modified convolutional architecture with Transformer blocks for visual recognition🔎
In image classification, the model achieves 84.7% top-1 accuracy on the ImageNet benchmark, 2.33 times faster than EfficientNet models
https://t.co/CjhShWNoHU
[2/3] Data Scientists in jail? Legal considerations for AI practitioners🧑⚖️
The 7 legal questions data scientists have to ask themselves when creating ML solutions in an increasingly regulated industry.
https://t.co/1A6G5lnUFe
Lunit's digital diagnostic tool uses #ML and cloud computing to detect 10 major chest diseases with 97-99% accuracy. 🫁⚕️
It is now helping doctors identify, triage, and monitor COVID-19 patients.
https://t.co/ZxG9UKJtdy
#AI#DigitalDiagnostics#Visium#DataScience
[2/3] A joint paper from #Google Research and Amherst demonstrates SOTA results on the KILT Long-form Question Answering benchmark, all while pointing out flaws in the evaluation system itself🧐
https://t.co/PGEoIaHc4N
#ML#DataScience
[2/2] #Multimodal Neurons in Artificial Neural NetworksBrain
#CLIP, a recent state-of-the-art model by #OpenAI, contains neurons that respond to the same concept whether present literally, symbolically, or even conceptually.
Read more: https://t.co/WEuJSV1fpp
AI cannot replace humans. Smart vision systems need human input to succeed.
Using a human-in-the-loop system to iteratively deploy #ML systems allows you to test it for robustness and scale to the production line intelligently.
https://t.co/oo55AJFDVU
[1/2] Does auditing eliminate #bias in ML systems?🔎
The growing #AI industry needs to scrutinize the algorithms that are starting to govern our lives. Is auditing them enough to make them fair?
https://t.co/4Qh5i8erI9
[2/2] MIT Sloan sheds light on how to build data literacy, which has become an essential in-demand skill in recent years
Understand what data literacy is, how to assess it and how to progress it!
https://t.co/wZPd5Oqm8K
Amazon adopts AI-enabled video surveillance to monitor every minute of van driver's experience.📷
Read more about the technology and the implications of Amazon's constant push for e-commerce dominance below
https://t.co/JDBTFpp0KK
#amazon#surveillance#MachineLearning
[1/2] Also in this week's digest:
Cannes is Dropbox's new Machine Learning system that allows replacing $1.7M of infrastructure cost into $9k of ML infrastructure
https://t.co/U9LkRUPHFy
[3/3] Researchers have raised awareness on NLP trends and have urged researchers, developers, and practitioners associated with language technology to take a responsible approach to LLMs
#LargeLanguageModels#NLP#MachineLearning#DataScience
https://t.co/lEAoZORa6w
Researchers use #MachineLearning to predict micro-structure for efficient material generation.
Their ML Model is able to simulate thermodynamic processes in only 60 ms (a 42,666 improvement from the usual 12 minutes)
Ream more: https://t.co/g33Dzo6zg7
[2/3] Also covered in the digest: #AI is transforming customer service interactions, ensuring that all angles are covered in terms of customer support
https://t.co/0XANBNDv4u
[3/3] The energy sector shows promising advances in AI
#Google developed a wind #energy production forecasting model to mitigate revenue loss caused by its variability.
https://t.co/aeDUCw3ga1
AI-enabled #Cheetos promise of the perfect puff🐆
#PepsiCo and #Microsoft are re-imaging food manufacturing by putting #AI at the heart of it. Using Deep Reinforcement Learning, PepsiCo ensures a consistently (and dangerously) perfect puff.
Read more: https://t.co/bVFkynFbiS
[2/3] Researchers from #MIT have applied an NLP approach to bioinformatics🧬
They claim the amino acid language of a virus has some interesting 'grammar' that can be decoded, and thus be used to predict mutations of such viruses
Read more: https://t.co/pj5PpObl3k