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AI Under the Hood: Object Detection Model Capable of Identifying Floating Plastic Beneath the Surface of the Ocean

A group of researchers, Gautam Tata, Sarah-Jeanne Royer, Olivier Poirion, and Jay Lowe, have written a new paper “DeepPlastic: A Novel Approach to Detecting Epipelagic Bound Plastic Using Deep Visual Models.” The workflow described in the paper includes creating and preprocessing a domain-specific data set, building an object detection model utilizing a deep neural network, and evaluating the model’s performance.

JADBio Provides AutoML for BioMed Data

JADBio is an AI startup company working with BioMed data. This remarkable team, headed by Prof. Ioannis Tsamardinos, has created an automated machine learning (AutoML) platform designed for life scientists. No Coding. No Statistics. No Math. No Problem … just add data.

Video Highlights: AI’s Role in Fight Against COVID-19

Legal and compliance technology company, Relativity premiered its latest installment of its On the Merits documentary series, which aims to showcase how people use data for the greater good. This year’s documentary explores how AI was leveraged in the race for answers around COVID-19.

How Machine Learning and Data Science Can Advance Nutrition Research

In this special guest feature, Kyle Dardashti, CEO & Founder of Heali, discusses how machine learning and data science bring exciting potential to the world of personalized nutrition. Combining these two technologies together on a cohesive platform that supports continuous tracking would allow for real-time validated nutrition recommendations tailored to an individual’s lifestyle.

We All Know about AI in Medicine By Now. Here’s Why It Really Matters.

In this special guest feature, Eran Atlas, Co-Founder & CEO of DreaMed Diabetes, discusses how the rapid incorporation of artificial intelligence in medicine is no longer a novel trend, with more fields than ever developing improved solutions and protocols. Yet the intricacies of AI have often made it a difficult success story to explain to the average Joe. While AI’s huge leap forward has provided much needed clarity and assistance to medical decision-makers, its positive effects have not been as crystal clear for the general public, meaning patients and prospective patients, have no clue how it helps. This article details how AI in medicine helps and affects patients themselves, and not just the guys and gals wearing the white coats.

Scientists Publish the First Human Psychological Aging Clock Using Artificial Intelligence

Scientists at Deep Longevity published the first set of psychomarkers of aging developed using deep learning to track the changes in human psychology and assess the effectiveness of interventions, life events, and external events. The new PsychoAge and SubjAge aging clocks were linked to mortality risk.

Can Big Data and Machine Learning Help Us Crack the Dream Code?

In this contributed article, IT and digital marketing specialist Natasha Lane, highlights how science has been investigating the phenomenon of dreams for a while and, more recently, we have even witnessed big data and machine learning being applied.

Alzheimer’s Disease Data Initiative launches new AD Workbench to foster greater global research innovation and accelerate breakthroughs in Alzheimer’s disease and related dementias

Launching is the Alzheimer’s Disease Data Initiative (ADDI) and its Alzheimer’s disease (AD) Workbench, a cloud-based platform for scientists to accelerate discoveries and innovations for AD and related dementias. ADDI is a new global effort that aims to advance AD innovation by connecting researchers with the data needed to generate insights and inform the development of improved treatments and diagnostic tools.

HuBMAP Inaugural Data Release Puts Detailed Anatomical Data about Seven Human Organs at the Service of Scientists, Public

HuBMAP (the Human BioMolecular Atlas Program) has released its inaugural data for use by the scientific community and the general public. Included in this release are detailed, 3D anatomical data and genetic sequences of healthy tissues from seven organ types, at the level of individual cells as well as many bulk tissue data sets. HuBMAP’s ultimate goal is to provide the framework required for scientists to create a 3D atlas of the human body.

How Big Data Is Revolutionizing Sleep Science and Health

In this contributed article, IT and digital marketing specialist Natasha Lane, discusses how big data has become a big part of sleep science, and it is helping make big strides in the right direction. There’s no doubt that this relationship will become even stronger in the future as biomedical big data becomes more homogenized and handled more efficiently and carefully.