Doctors are Using AI to Triage Covid-19 Patients – the Tools May be Here to Stay
Faced with staff shortages and overwhelming patient loads, a growing number of hospitals are turning to automated tools to help them manage the pandemic. On the one hand, it is pushing doctors and hospitals to fast-track promising new technologies. On the other, this accelerated process could allow unvetted tools to bypass regulatory processes, putting patients in harm’s way.
How To Leverage Artificial Intelligence and Machine Learning During A Pandemic
Intelligent systems increasingly speed up and disrupt status-quo processes, freeing up personnel to engage better, create more with their time, and explore new possibilities. As competitive advantages line up along the powerful technologies of cloud, AI, machine learning, and automation, those that have not deployed these tools will soon be in the loser category – meaning that their competitive advantage will undoubtedly be lost.
NVIDIA Brings GPU, HPC and AI Expertise to COVID-19 Battle
A task force of NVIDIA computer scientists has joined the COVID-19 High Performance Computing Consortium, which brings together leaders from the U.S. government, industry and academia to accelerate research using the world’s most powerful HPC resources.
AI Uncovers a Potential Treatment for Covid-19 Patients
Software suggested an arthritis drug might quell an out-of-control immune response that damages the lungs. Now it’s being tested in a clinical trial. This week, Lilly announced it is working with the US National Institute of Allergy and Infectious Diseases on a large clinical trial of the drug in hospitalized Covid-19 patients. Patrik Jonsson, president of Lilly’s biomedicines division, says his group hadn’t previously thought of baricitinib as an infectious disease treatment. “I think Covid-19 in many ways will change the way we’re getting work done,” he says.
Using AI to Help Explain Why Coronavirus Hits Some People Harder Than Others
One of the enigmas of the coronavirus pandemic is that some people experience mild symptoms or none at all, while others end up fighting for their lives on a ventilator. LabCorp, Ciox will use natural language processing, deep learning, to analyze handwritten doctor’s notes to find out why this is the case.
Coronavirus: Spain to Use Artificial Intelligence to Automate Testing
Technology will be used to speed up testing of people in Spain, one of the countries hardest hit by the Covid-19 outbreak, with more than 200 deaths so far. According to Bloomberg, Spanish authorities now plan to increase daily testing from about 20,000 a day to 80,000, by using four robots to apply artificial intelligence (AI) to testing.
Fei-Fei Li Proposes AI-Assisted Elder Care Solution at Stanford-Hosted Virtual Conference on COVID‑19 and AI
Fei-Fei Li, Stanford computer science professor and co-director of Stanford’s Human-Centered AI Institute (HAI), shared her thoughts on possible AI technologies that could help care for the seniors during the coronavirus pandemic at today’s COVID-19 and AI: A Virtual Conference.
Landing AI Creates an AI Tool to Help Customers Monitor Social Distancing in the Workplace
In the fight against the coronavirus, social distancing has proven to be a very effective measure to slow down the spread of the disease. To complement our customers’ efforts and to help ensure social distancing protocol in their workplace, Landing AI has developed an AI-enabled social distancing detection tool that can detect if people are keeping a safe distance from each other by analyzing real time video streams from the camera.
Google’s Head of Quantum Computing Hardware Resigns
John Martinis brought a long record of quantum computing breakthroughs when he joined Google in 2014. He quit after being reassigned to an advisory role.
Top 25 Machine Learning Startups To Watch In 2020
Open jobs requiring TensorFlow experience is a useful way to quantify how prevalent machine learning is becoming in business today. There are 3,602 open positions in the U.S. on LinkedIn that require TensorFlow expertise and 10,345 open positions worldwide as of today. This article lists some of the companies that will be hiring in 2020.
China’s AI Startups Raise Millions, but 2020 Looks to Be Lean Year
The coronavirus pandemic didn’t seem to have hurt Chinese AI firms’ ability to raise money yet, but as uncertainty drags on and corporations keep a tighter grip on their purse strings, many of these upstarts might find 2020 a rough year.
AI Can’t Predict How a Child’s Life Will Turn Out Even with a Ton of Data
Hundreds of researchers attempted to predict children’s and families’ outcomes, using 15 years of data. None were able to do so with meaningful accuracy.
AI Researchers Propose ‘bias bounties’ to put Ethics Principles into Practice
Researchers from Google Brain, Intel, OpenAI, and top research labs in the U.S. and Europe joined forces this week to release what the group calls a toolbox for turning AI ethics principles into practice. The kit for organizations creating AI models includes the idea of paying developers for finding bias in AI, akin to the bug bounties offered in security software.
Pet Facial Recognition Helps Find Lost Cats and Dogs
Animal shelters around the country have begun using artificial-intelligence apps to identify lost pets and reunite them with their owners.
Women in AI | Chelsea Finn: ‘I Certainly Feel Like a Minority’
As part of the Women in AI special project, Synced spoke with Chelsea Finn, an assistant professor in Computer Science and Electrical Engineering at Stanford University. Most of her work focuses on the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction.
A More Hopeful View of AI’s Impact on America’s Rural Worker
In a new book, Kevin Scott says artificial intelligence can promote opportunity in the U.S. heartland if it comes with a national investment in education, broadband and businesses.
Computers Already Learn From Us – but Can They Teach Themselves?
Scientists are exploring approaches that would help machines develop their own sort of common sense. “We want to move from systems that require lots of human knowledge and human hand engineering” toward “increasingly more and more autonomous systems,” said David Cox, IBM Director of the MIT-IBM Watson AI Lab. Even if a supervised learning system read all the books in the world, he noted, it would still lack human-level intelligence because so much of our knowledge is never written down.
The Los Angeles Police Department Says it is Dumping a Controversial Predictive Policing Tool
The Los Angeles Police Department announced today it would be ending its use of PredPol’s predictive policing tool — which the company claims uses artificial intelligence to predict crime, but which critics have called “fundamentally flawed.”
Trump Betting Millions to Lay the Groundwork for Quantum Internet in the US
The Trump administration’s 2021 budget request contains $237 million in funding to support quantum information research. Quantum information science harnesses the behavior of particles to make calculations in fundamentally new ways. Prototype networks exist in New York and Chicago, and researchers are developing the new technologies needed to create longer links.
AI will be Used to Power Cyberattacks, Warn Security Experts
Intelligence agencies need to use artificial intelligence to help deal with threats from criminals and hostile states who will try to use AI to strengthen their own attacks.
How International Health Care Organizations are Using Bots to help Fight COVID-19
Since March, health organizations have created 1,230 COVID-19 self-assessment bots based on the Microsoft Healthcare bot service, reaching 18 million individuals and serving more than 160 million messages. “The coronavirus pandemic is putting unprecedented demands on health care systems and workers globally,” says Hadas Bitran, group manager of Microsoft Healthcare and head of the Healthcare Bot team. “Bots can help alleviate some of that pressure by addressing queries from patients and helping them with information about possible next steps if they have symptoms of COVID-19.”
Mobilizing AI for Health to Fight Against COVID-19
Microsoft AI is focusing its Health initiative to focus on helping those on the front lines of research of COVID-19. Microsoft is focusing their efforts in five specific areas where they think data, analysis and the skills of their data scientists can have the biggest impact. Microsoft is immediately dedicating $20 million to this specific effort.
Microsoft’s CTO explains how AI can Help Health Care in the US Right Now
In the Vergecast interview series, Verge editor-in-chief Nilay Patel chats with Microsoft chief technology officer Kevin Scott about his new book Reprogramming the American Dream: From Rural America to Silicon Valley―Making AI Serve Us All.
Finally, Progress on Regulating Facial Recognition
Washington Governor Jay Inslee has signed landmark facial recognition legislation that the state legislature passed on March 12, less than three weeks, but seemingly an era, ago. Nonetheless, it’s worth taking a moment to reflect on the importance of this step. This legislation represents a significant breakthrough – the first time a state or nation has passed a new law devoted exclusively to putting guardrails in place for the use of facial recognition technology.
How Microsoft Tackles the 30,000 Bugs its 47,000 Developers Generate each Month
Microsoft is detailing how it handles bugs in its software and services using machine learning models. “47,000 developers generate nearly 30,000 bugs a month,” explains Scott Christiansen, a senior security program manager at Microsoft. The software maker tracks these bugs across GitHub and AzureDevOps repositories, but it’s a lot of issues to track with just traditional labeling and prioritization.
All Microsoft Events will be Digital-Only until July 2021
Microsoft is planning to make all of its internal and external events digital-only until July 2021 due to the ongoing coronavirus pandemic. The software maker had already revealed Build 2020, due to be held in Seattle in May, would transform into a digital event. This digital-only focus is now extending to far more events over the next year.
Minecraft, Machine Learning and Bots: Enter an AI Wonderland with these #stayathome Workshops
Alice envisions the future is a unique program run by Microsoft in partnership with Avanade and Accenture which allows high school girls around the world to develop their understanding of Artificial Intelligence (AI) – the world’s leading technology in terms of its potential for building a better future.
Microsoft’s Mahjong-winning AI could Lead to Sophisticated Finance Market Prediction Systems
Last August, Microsoft Research Asia detailed an AI system dubbed Super Phoenix (Suphx for short) that could defeat Mahjong players after learning from only 5,000 matches. A revised preprint paper out this week delves a bit deeper, revealing that Suphx — whose performance improved with additional training — is now rated above 99.99% of all ranked human players on Tenhou, a Japan-based global online Mahjong competition platform with over 350,000 members.
Microsoft Launches Open Data Campaign to Narrow ‘Data Divide’
The U.S., China, and about 100 companies are poised to capture the majority of the world’s data, according to Microsoft. But despite being one of the beneficiaries of that data divide, Microsoft says it wants to close it. The Open Data Campaign involves dozens of data collaborations, the creation of a new government think tank, and public and private partnerships designed to use information for good.
Microsoft Claims its AI Framework Spots Fake News Better than State-of-the-Art Baselines
In a study published this week on the preprint server Arxiv.org, Microsoft and Arizona State University researchers propose an AI framework — Multiple sources of Weak Social Supervision (MWSS) — that leverages engagement and social media signals to detect fake news. They say that after training and testing the model on a real-world data set, it outperforms a number of state-of-the-art baselines for early fake news detection.
COVID-19 + Imaging AI Resources
Stanford’s list of relevant Covid and AI imaging resources. The following is a list of COVID-19-related imaging data and AI resources that was compiled together with colleagues around the world. Stanford’s goal is to support research and education efforts that are critical to better understanding and quickly diagnosing COVID-19.
Google Cloud Releases COVID-19 Data Sets to Foster Coronavirus-Fighting AI Models
In an effort to help fight the spread of the novel coronavirus, which is projected to infect millions of people in the U.S. alone, Google today launched the COVID-19 Public Datasets program, which will host a repository of public data sets that relate to the crisis and make them free to access and analyze. The idea is to remove barriers and to provide researchers access to critical information quickly and easily, eliminating the need to search for and onboard large data files.
Covid-Sanity Interface Elegantly and Efficiently Organizes Web COVID-19 Papers
In response to the COVID-19 pandemic, Andrej Karpathy — director of artificial intelligence and Autopilot Vision at Tesla and developer of the arXiv sanity preserver web interface — has introduced Covid-Sanity, a web interface designed to navigate the flood of bioRxiv and medRxiv COVID-19 papers and make the research within more searchable and sortable.
Element AI’s Search Tool Surfaces Curated Coronavirus Studies
Element AI today released a search tool that combs through the COVID-19 Open Research Dataset, a repository of over 44,000 scholarly articles about COVID-19 and related coronaviruses, for papers that researchers might find useful. Users can search or query natural language terms, phrases, and keywords to surface articles that contain semantically similar content, or copy paragraphs of text or questions into the search bar to return articles with only the most important sentences highlighted.
Using Neural Networks to Find Answers in Tables
In, “TAPAS: Weakly Supervised Table Parsing via Pre-training”, accepted at ACL 2020, we take a different approach that extends the BERT architecture to encode the question jointly along with tabular data structure, resulting in a model that can then point directly to the answer. Instead of creating a model that works only for a single style of table, this approach results in a model that can be applied to tables from a wide range of domains.
Bring your Own Model for Amazon SageMaker Labeling Workflows with Active Learning
With Amazon SageMaker Ground Truth, you can easily and inexpensively build accurately labeled machine learning (ML) datasets. To decrease labeling costs, SageMaker Ground Truth uses active learning to differentiate between data objects (like images or documents) that are difficult and easy to label. Difficult data objects are sent to human workers to be annotated and easy data objects are automatically labeled with machine learning (automated labeling or auto-labeling).
Towards Understanding Glasses with Graph Neural Networks
This demonstrates that machine learning can be used not only to make quantitative predictions, but also to gain qualitative understanding of physical systems. This could mean that machine learning systems might be able to eventually assist researchers in deriving fundamental physical theories, ultimately helping to augment, rather than replace, human understanding.
Pie & AI: Real-world AI Applications in Medicine
Deeplearning.AI has gathered experts in the AI and medicine field to share their career advice and what they’re working on. Come celebrate the launch of our new AI For Medicine Specialization and hear from experts in the AI and medicine field.
Medical Institutions Collaborate to Improve Mammogram Assessment AI with NVIDIA Clara Federated Learning
In a federated learning collaboration, the American College of Radiology, Diagnosticos da America, Partners HealthCare, Ohio State University and Stanford Medicine developed better predictive models to assess breast tissue density.
The 5 Components Towards Building Production-Ready Machine Learning Systems
The biggest issue facing machine learning is how to put the system into production. Machine learning systems differ from traditional software in two fundamental ways. As machine learning continues to evolve and perform complex tasks, so is evolving our knowledge of how to manage and deliver such applications to production. Choosing how to deploy predictive models into production is quite a complicated affair. There are different ways to handle the lifecycle management of the predictive models, different formats to store them, multiple ways to deploy them, and a very vast technical landscape to pick from.
Google Releases Benchmark to Spur Development of Multilingual AI Models
Google today released a natural language processing systems benchmark — Xtreme — with nine tasks that require reasoning about semantics across 40 languages and 12 language families. Researchers at the tech giant assert it can evaluate whether AI models capture knowledge shared across languages, which can be useful for a growing number of natural language applications.
AI Taught to Instantly Transform Objects in Image-Editing Software
Artificially intelligent algorithms that create images are notoriously difficult to predict and control. But now researchers at Adobe have devised AI-controlled software that lets you transform the shape of objects in images, and adjust the lighting and perspective, with a few simple controls.