Theresa May, UK Prime Minister sets out a bold strategy to ensure the UK remains a world leader in Science and Technology. Announcing that Artificial Intelligence will be used in the NHS to help prevent 22,000 cancer-related deaths each year by 2033.
Using Artificial Intelligence to cross reference medical records along with patients’ genetics and habits with national data to spot those at an early stage of cancer.
Stating that “The development of smart technologies to analyse great quantities of data quickly and with a higher degree of accuracy than is possible by human beings opens up a whole new field of medical research and gives us a new weapon in our armoury in the fight against disease.” Read more here.
The debate is raging right now on social media, check out Rob McCargow’s tweet.
We’re really excited to be covering this topic at CogX, with our panel discussion: Could AI Cure Cancer? The panel will be hosted by the wonderful Dr Jack Kreindler, and includes the points of view of Stefan Roever, Co-founder of Navio Oncology (previously Founder of Genia), Riccardo Sabatini, Chief Data Scientist, Orionis Sciences, Dr
Hugh Harvey, Clinical Lead, Kheiron Medical and Professor Joanna Holbrook, Head of Omics Integration, BenevolentAI.
Read on to learn more about DeepMind’s latest research, MIT’s work on applying AI to drug discovery, and more.
Tabitha UntiltheBotsTakeOver Goldstaub
P.S. We’re hiring! We’re looking for a Consulting Director, Junior Chatbot Analyst, and more here. Forwarded this email? You can subscribe here.
????Get a free 2-day Expo Pass (£399) when you sign up for our free Directory of All Things AI (currently in Alpha).
With over 300 HR AI products tracked, detailed, and tagged by use case, our Directory will help you discover the ideal AI HR resource to meet your business challenge.
DeepMind introduced a conceptually simple and scalable framework for continual learning domains where tasks are learned sequentially. Their method is constant in the number of parameters and is designed to preserve performance on previously encountered tasks while accelerating learning progress on subsequent problems.
This is achieved through training two neural networks: A knowledge base, capable of solving previously encountered problems, which is connected to an active column that is employed to efficiently learn the current task. They demonstrate the progress & compress approach on sequential classification of handwritten alphabets as well as two reinforcement learning domains: Atari games and 3D maze navigation.
For rich and effective communication, intelligent assistants need to be able to have a natural dialogue instead of just responding to commands. Microsoft call this “conversational AI.”
With the acquisition of Semantic Machines, Microsoft will establish a conversational AI centre of excellence in Berkeley to push forward the boundaries of what is possible in language interfaces. Combining Semantic Machines’ technology with Microsoft’s own AI advances, aiming to deliver powerful, natural and more productive user experiences that will take conversational computing to a new level.
The drug discovery process can often be exceedingly expensive and time-consuming, but machine learning offers tremendous opportunities to more efficiently access and understand vast amounts of chemical data — with great potential to improve both processes and outcomes. The consortium aims to break down the divide between machine learning research at MIT and drug discovery research — bringing MIT researchers and industry together to identify and address the most significant problems.
According to a new research report by the market research and strategy consulting firm, Global Market Insights, Inc, the value of AI in the retail market is predicted to surpass $8B by 2024.
The increased importance of AI in retail markets is driven by the increasing investments in it across the globe. In 2016, approximately $30bn had been invested in the technology, with more than 90% on the R&D activities and remaining 10% on merger & acquisition activities. Furthermore, private equity financing, seed investment, and venture capital investment also grew significantly amounting to a cumulative total of over $6bn.
Celebrity spotting at the Royal Wedding was an automated activity for millions of Sky customers, as the broadcaster used machine learning technology from Amazon Web Services (AWS) to name famous guests as they entered the chapel.
The guests were automatically labelled with a name tag when they reach George’s Chapel in Windsor Castle, and added to a list that includes a bite-sized biography and details on their connection to the Royal couple. Sky claims that this is the world’s first live machine learning project on a large-scale event, but it may not have been possible if the wedding was just one week later, as the GDPR implementation date arrives on Friday 25 May.
Ecommerce company Etsy announced today that it will open a new artificial intelligence research and development center in Toronto, Canada. The company broke the news yesterday during a meeting with Canadian prime minister Justin Trudeau in New York City.
Etsy’s third Machine Learning Center of Excellence, which follows on the heels of its Brooklyn and San Francisco locations, will play host to leading figures from local universities and Toronto’s “deep pool of world-class machine learning talent,” according to a statement. It will also aid in the company’s efforts to recruit machine learning engineers.
A coalition of human rights and technology groups have released a new declaration in Toronto, calling for tech companies and governments to ensure machine learning systems respect the basic principles of human rights.
The document, called the Toronto Declaration, was announced at the RightsCon event in Toronto and aims to “protect individuals against discrimination, promote inclusion, diversity and equity, and safeguards equality.”
While the declaration isn’t legally binding, it is meant to set machine learning standards that government bodies and tech companies are encouraged to adhere to.
Stanford researcher Robbie Barrat is in the vanguard of these efforts having devoted his career to teaching computers how to paint novel landscapes without human guidance leading him to loftily predict that art galleries of the future could be playing host AI-generated works.
To prove his point, Barrat challenged his silicon student to create bespoke cover art for the cover of Bloomberg Businessweek’s AI special edition, with the program labouring for two full weeks over its masterpiece.
Speaking to Bloomberg proud father Barrat said: “AI is going to be one of the larger art movements of this century. It just has really great untapped potential.”