In the summer of 1956, a small group of mathematicians and computer scientists gathered at Dartmouth College to embark on the grand project of designing intelligent machines. The ultimate goal, as they saw it, was to build machines rivaling human intelligence. As the decades passed and AI became an established field, it lowered its sights. There were great successes in logic, reasoning, and game-playing, but stubborn progress in areas like vision and fine motor-control. This led many AI researchers to abandon their earlier goals of fully general intelligence, and focus instead on solving specific problems with specialized methods.

April 22, 2020 -- Siemens Healthineers has received clearance from the Food and Drug Administration (FDA) for its AIDAN artificial intelligence technologies on the Biograph family of positron emission tomography/computed tomography (PET/CT) systems, which includes the Biograph Horizon, Biograph mCT, and Biograph Vision. AIDAN is built on a foundation of patient-focused bed design and proprietary AI deep-learning technology to enable four new features – FlowMotion AI, OncoFreeze AI, PET FAST Workflow AI, and Multiparametric PET Suite AI. Siemens Healthineers PET/CT systems with AIDAN offer enhanced protection against cyber threats via syngo Security – a security package for general regulatory security rules that enables compliance with the Health Insurance and Accountability Act (HIPAA). FlowMotion AI Because each patient's body habitus and presentation of disease is different, tailoring PET/CT protocols to produce the highest-quality diagnostic imaging information possible for each patient can be difficult and time-consuming. The standard one-size-fits-all protocol lacks personalization and is often of suboptimal quality.

Atos, a global leader in digital transformation, is taking part in the'Covid-19 Dataset Challenge', an international competition hosted on online community Kaggle[1] asking AI researchers to apply machine learning tools and techniques to help provide answers to key questions about the virus. Atos is deeply involved with a team of 10 experts working on the project, using their AI and automation skills to digest scientific articles and help the medical community to keep up to date with the latest publications on Covid-19. Literature reviews are essential to the research process. They aim to compare and contrast the thinking, ideologies and concepts on a particular subject area. In the specific context of Covid-19, they are essential to the research process as they provide deeper insights, leading to quicker discovery of any gaps in research.

LG CNS announced Thursday that the company has introduced a facial recognition payment system using cloud server and blockchain technology. The Korean company's new payment system uses a kiosk equipped with artificial intelligence specialized in recognizing facial biometrics to identify customers. The payment system then proceeds with payments by accessing customers' account data encrypted in the cloud server. The company said the AI-based payment system is much more convenient than using mobile apps or credit cards. The system also gets rid of unnecessary points of contact, reducing risks of viral infections, the company explained.

QuillBot, a startup developing AI tools that intelligently rewrite text, today announced that it raised $4 million in financing. Fresh capital in hand, the cofounders hope to make QuillBot's platform a one-stop editing shop, with modules that will summarize information from articles and complete paragraphs by synthesizing sentences informed by intent. QuillBot also plans to establish an R&D lab to conduct and publish AI and machine learning work, with an emphasis on natural language processing (NLP). QuillBot is the brainchild of the University of Illinois (UIUC) dropout Anil Jason and 2017 alums Rohan Gupta and David Silin. Jason and Silin collaborated on a senior thesis project involving a system that, given an article, generated multiple-choice questions about the content of that article.

UST Global, a leading digital transformation solutions company, announced that it has won the 2020 most innovative AI application award for societal impact from Microsoft. UST Global has been a picture of consistency as the company has unlocked several technical accolades in its successive years. The AI Awards 2.0 is an initiative open to all Microsoft customers and partners who foster AI-led innovations to deliver meaningful impact. In 2019, UST Global had won an award for'Empowering Employees with AI' from Microsoft for delivering an AI-powered personal assistant to each employee. The award marks industry appreciation of UST Global's AI capabilities to build products that scale new heights in innovations in Artificial Intelligence.

We've made our coronavirus coverage free for all readers. To get all of HBR's content delivered to your inbox, sign up for the Daily Alert newsletter. Over the past few months the world has experienced a series of Covid-19 outbreaks that have generally followed the same pathway: an initial phase with few infections and limited response, followed by a take-off of the famous epidemic curve accompanied by a country-wide lockdown to flatten the curve. Then, once the curve peaks, governments have to address what President Trump has called "the biggest decision" of his life: when and how to manage de-confinement. Throughout the pandemic, great emphasis has been placed on the sharing (or lack of it) of critical information across countries -- in particular from China -- about the spread of the disease.

A data scientist is responsible for extracting, pre-procession, manipulating and generating predictions out of data. But to do so, a data scientist requires a variety of statistical tools and programming languages. So, to make the work of every data scientist easy, today we are going to share with you the 10 most used data science tools. These tools are the best to be used by the data scientist to carry out their data operations. You will understand the key features of the tool, benefits these tools provide you with as well as their comparisons.

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We take a look into how artificial intelligence is aiding the fight against the coronavirus pandemic, how effective will AI prove to be? Artificial intelligence may have been hyped - but when it comes to medicine, it already has a proven track record. Oxford-based Exscientia, the first to put an AI-discovered drug into human trial, is trawling through 15,000 drugs held by the Scripps research institute, in California. And Healx, a Cambridge company set up by Viagra co-inventor Dr David Brown, has repurposed its AI system developed to find drugs for rare diseases. Drug discovery has traditionally been slow, but AI is providing much faster results. Healx hopes to turn that information into a list of drug candidates by May and is already in talks with labs to take those predictions into clinical trials.