Data Science

10 Highlights From The 2022 Artificial Intelligence Index Report

The 5th edition of the Artificial Intelligence Index Report entitled Measuring Trends in Artificial Intelligence was released this week. The report, produced by the Stanford Institute for Human-Centered Artificial Intelligence (HAI), is one of the most credible sources for data about AI worldwide. This year’s report is 299 pages long and includes 173 visualizations. The report also […]

10 Highlights From The 2022 Artificial Intelligence Index Report Read More »

Deepcell Raises $73 Million to Advance AI Powered Single Cell Analysis

“AI can learn to identify cells based on visual differences that are hardly accessible to the human eye and can continually improve, thanks to our capability to sort cells and thereby elicit ground truth at scale. With training on billions of cell images and sorting cells, our AI technology connects morphology to multiomics, delivering unprecedented

Deepcell Raises $73 Million to Advance AI Powered Single Cell Analysis Read More »

PathAI and Cleveland Clinic Announce 5 Year Strategic Collaboration

“Our commitment is to provide the best possible care for our patients, and it is increasingly clear that AI-powered pathology can radically enhance diagnostic accuracy and treatment selection.” Dr. Brian Rubin, chair of Pathology and Laboratory Medicine Institute, Cleveland Clinic PathAI and Cleveland Clinic have announced a 5 year strategic collaboration. The partnership will combine

PathAI and Cleveland Clinic Announce 5 Year Strategic Collaboration Read More »

National Heart Centre Singapore Launches AI Lab for Cardiac Imaging

“We are excited to spearhead research on the use of AI in the clinical setting. AI can potentially capture and make sense of complex image information in a multidimensional manner, improve predictive ability, and reduce labor and time intensive processes.” Assistant Professor Lohendran Baskaran, Clinical Lead, Cardiovascular Systems Imaging and AI Lab, NHCS On March

National Heart Centre Singapore Launches AI Lab for Cardiac Imaging Read More »

Stanford Researchers Use AI To Sequence and Analyze DNA In 5 hours

“A few weeks is what most clinicians call ‘rapid’ when it comes to sequencing a patient’s genome and returning results.”  Dr. Euan Ashley, professor of medicine, genetics and biomedical data science, Stanford School of Medicine In a new milestone, Dr. Euan Ashley and his colleagues Stanford School of Medicine used AI to sequence and analyze

Stanford Researchers Use AI To Sequence and Analyze DNA In 5 hours Read More »

Highlights From The Riyadh Global Summit for Artificial Intelligence In Healthcare

This weekend the Riyadh Global Summit for Artificial Intelligence In Healthcare took place in The Kingdom of Saudi Arabia. Leading AI scientists, Pharma executives, and business leaders from around the world came together to explore the potential of AI, machine learning, and deep learning in healthcare. Distinguished speakers attended from The Kingdom of Saudi Arabia,

Highlights From The Riyadh Global Summit for Artificial Intelligence In Healthcare Read More »

Interview with Kate Strachnyi, Founder, DATAcated

Kate Strachnyi is widely known in the Data Community for her contribution in the Data Visualization and Story Telling space. One of the initiatives under her company, DATAcated conferences have been regularly gathering the best of the audience and generating the best of the content. We thank Kate Strachnyi from DATAcated for taking part in

Interview with Kate Strachnyi, Founder, DATAcated Read More »

Interview with Dipanjan Sarkar, Lead Data Scientist, Propulsion Academy Zurich

Dipanjan Sarkar, or DJ as we all like to call him, is one of the leaders and influencers in Data Science who has been doing a lot for the community- be it through live sessions or courses. This interview with DJ is one of the most enriching ones as he unfolds all his learnings throughout

Interview with Dipanjan Sarkar, Lead Data Scientist, Propulsion Academy Zurich Read More »

Probability for Data Science

Probability and Statistics form the core of Data Science. Probability gives us the capability to quantify how probable are the outcomes given the data at hand. The use of probability is most required when dealing with classification problems. The Machine Learning algorithm outputs the probability of the instance being of each of the classes. Probability

Probability for Data Science Read More »

Scroll to Top