Deciphering Breast Cancer Heterogeneity Using Machine Learning
The Systems Biology Group led by Maria Rodriguez Martinez at IBM Research-Zurichhas been working in collaboration with Professor Bernd Bodenmiller’s Group at the Institute of Molecular Life Science, University of Zurich (UZH) to elucidate cellular and phenotypic diversity in breast cancer ecosystems.
Pathologist-level Interpretable Whole-Slide Cancer Diagnosis with Deep Learning
Researchers present a novel pathology whole-slide diagnosis method, powered by artificial intelligence, to address the lack of interpretable diagnosis. The proposed method masters the ability to automate the human-like diagnostic reasoning process and translate gigapixels directly to a series of interpretable predictions.
How AI Could Save Lives without Spilling Medical Secrets
One promising approach is now getting its first big test at Stanford Medical School in California. Patients there can choose to contribute their medical data to an AI system that can be trained to diagnose eye disease without ever actually accessing their personal details.
(MIT Technology Review)
Nvidia’s AI Tech Set to Analyze Medical Scans for UK’s Public Health System
The idea of using of AI platforms in medical diagnostics and research is still relatively new, and this partnership is the first of its kind looking to develop an AI system intended for the entire UK public health system, the National Health Service (NHS), working across multiple clinical pathways, including oncology, cardiology and neurology, and using data from patients located all over the nation.
Reports Show That AI Can Transform UK Healthcare
Artificial intelligence (AI) could transform UK healthcare, according to the results of a survey and report by the All-Party Parliamentary Group (APPG) on Heart and Circulatory Diseases. Kenji Takeda, director of Academic Health and AI Partnerships at Microsoft Research in Cambridge suggests the technology will give doctors more time with patients.
(TheRecord) / (Microsoft)
Google AI ‘Translatotron’ Can Make Anyone a Real-Time Polyglot
Google AI released its latest research result in speech-to-speech translation, the futuristic-sounding “Translatotron.” Billed as the world’s first end-to-end speech-to-speech translation model, Translatotron promises the potential for real-time cross-linguistic conversations with low latency and high accuracy.
(Synced) / (Google AI)
Adversarial Examples Aren’t Bugs, They’re Features
In the new paper Adversarial Examples Are Not Bugs, They Are Features, a group of MIT researchers propose that adversarial examples’ effectiveness can be attributed to non-robustness: “Adversarial vulnerability is a direct result of our models’ sensitivity to well-generalizing features in the data.”
(Synced) / (MIT)
Microsoft Open-Sources a Crucial Algorithm Behind Its Bing Search Services
Microsoft announced that it has open-sourced a key piece of what makes its Bing search services able to quickly return search results to its users. By making this technology open, the company hopes that developers will be able to build similar experiences for their users in other domains.
(TechCrunch) / (Microsoft) / (GitHub)
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Yoshua Bengio to Lead New Canadian Advisory Council on AI
At the G7 Digital Ministers gathering in Paris, Canadian Minister of Innovation, Science and Economic Development Navdeep Bains announced the launch of the Advisory Council on Artificial Intelligence. Turing Award Recipient Yoshua Bengio will co-chair the council with Chief Science Officer for the Royal Bank of Canada Foteini Agrafioti.
Facebook, MIT & UW Introduce DeepSDF AI for 3D Shape Representation
Researchers from the University of Washington, MIT, and Facebook Realty Lab have proposed the novel deep representation method “DeepSDF” to study 3D object generation. This is the first attempt to represent the surface of a 3D shape by its continuous volumetric field based on signed distance functions (SDF).
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