Collaborating Authors


Forthcoming machine learning and AI seminars: May 2021 edition


This post contains a list of the AI-related seminars that are scheduled to take place between 11 May and 30 June 2021. All events detailed here are free and open for anyone to attend virtually. Aligning Superhuman AI with Human Behavior: Chess as a Model System Speaker: Jon Kleinberg (Cornell University) Organised by: Carnegie Mellon University Zoom link is here. Adaptive Sampling for Best Policy Identification in Markov Decision Processes Speaker: Aymen Al Marjani (ENS Lyon) Organised by: RL theory The seminar will be livestreamed here. Title to be confirmed Speaker: Jonathan How (MIT) Organised by: Control Meets Learning Join the Google group to find out how to register.

Inside the 'brain' of IBM Watson: how 'cognitive computing' is poised to change your life


During the British summer, conversations about sport become almost ubiquitous. This year, however, one participant in those conversations was very different: IBM Watson, IBM's cognitive intelligence. The All England Lawn Tennis Club knew that 2016 would feature unusually fierce competition for attention, with the Tour de France and Euro 2016 taking place alongside Wimbledon. More than ever before, social media was going to be a vital tool in directing that conversation, and directing attention to SW19. Wimbledon's "Cognitive Command Centre" – powered by Watson's intelligence running on a hybrid, IBM-managed cloud - scanned social media for emerging news and trends.

Switzerland constructs the world's fastest AI supercomputer


Tokyo (SCCIJ) – Switzerland is building the world's most powerful supercomputer focused on artificial intelligence. The "Alps" system is designed for researchers and will come online 2023 as scheduled despite the COVID-19 pandemic. The Swiss National Supercomputing Center (CSCS) is partnering with Hewlett Packard and Nvidia to combine classic supercomputing and AI technologies for superior performance. Switzerland's new supercomputer increases the speed of data processing for AI applications significantly ( CSCS). The new data center will replace CSCS's existing Piz Daint supercomputer and serve as a general-purpose system open to the broad community of researchers in Switzerland and the rest of the world.

Artificial intelligence could be used to triage patients suspected at risk of early stage oesophageal cancer


Deep learning techniques can be used to triage suspected cases of Barrett oesophagus, a precursor to oesophageal cancer, potentially leading to faster and earlier diagnoses, say researchers at the University of Cambridge. When researchers applied the technique to analysing samples obtained using the'pill on a string' diagnostic tool Cytosponge, they found that it was capable of reducing by half pathologists' workload while matching the accuracy of even experienced pathologists. Early detection of cancer often leads to better survival because pre-malignant lesions and early stage tumours can be more effectively treated. This is particularly important for oesophageal cancer, the sixth most common cause for cancer-related deaths. Patients usually present at an advanced stage with swallowing difficulties and weight loss.

UK postal service tests autonomous drone deliveries to remote islands


It's not just online and big-box retailers that are exploring deliveries by drone. Following in the footsteps of the Swiss Post, the UK's Royal Mail is the latest postal service to trial drone flights. The company has announced a landmark project to deliver packages -- including personal protective equipment, COVID testing kits and assorted mail -- to a UK island using an autonomous Uncrewed Aerial Vehicle (UAV). As part of the government-backed project, a large drone will take off from the mainland and fly to the Scilly Isles (a remote archipelago off the Cornish coast in southwest England). The twin-engine UAV can carry up to 100kg of mail of all shapes and sizes, which the Royal Mail said is equivalent to a typical delivery round.

Briefly Noted Book Reviews

The New Yorker

This incisive, warm-blooded collection of stories is populated by outsiders: expatriates and repatriates, Vikings, travelling ventriloquists. Nearly half the stories are linked, tracing a romance between Jack and Sadie, whom we first meet in Ireland, attending Jack's sister's wedding to a Dutchman. Whether it's over the course of a honeymoon in Amsterdam or a day at a Texas water park, McCracken illuminates qualities of human nature through fragments of her characters' lives, much like the boy in the title story, examining ancient shards of pottery at a museum: "Looking at a piece of a thing, he might think, deduce, discover something nobody ever had, which was all he wanted in the world." An eccentric Italian bibliophile, Giordano Vietri, is the driving force of this assured début novel. The narrator, Gabriele, working in a Berkeley bookstore, receives hundreds of Vietri's requests for obscure titles, and, as she ships them off to him, at an address in Rome, she wonders if he is an academic or someone on a more personal quest for knowledge.

Scientists Using AI To Recreate Smells From 500 to 100 Years Ago


Whenever we visit museums, the artefacts and paintings of the yesteryears truly transcend us to that time, making us think what life would have been like at that time. The kind of clothes they wore, the absence of luxuries that we take for granted today, among several other things, and even how things smelled in that era. Well, it looks like we're soon going to relive that last part. Researchers from institutions like UCL, Anglia Ruskin University and the Royal Netherlands Academy of Arts and Sciences are working on a project called Odeuropa which is going to use artificial intelligence to recreate aromas that were present in Europe, roughly 500 and 100 years ago. The institutions have received a grant of €2.8 million from the EU Horizon 2020 programme, for the project.

Healthcare and Artificial Intelligence (AI)


If you've been following my articles, I've covered what is AI, the types of AI, and how AI is going to shape the future. If you haven't had a read and would like to, you can read my first article'Whats is Artificial Intelligence?' and'How AI is going to shape the future?'. I hope we all have a good understanding of what AI is and what its future holds, lets now look into how AI is currently being used specifically in the healthcare industry. I started off with this because we're still living the dreadful mishaps of 2020, where the world was living the worst pandemic since the Spanish Flu over 100 years ago. Although since the start of the pandemic, vaccines from various companies have been created, the healthcare industry was overwhelmed and had immense pressure on medical professionals from frontline NHS and private clinic staffs to biomedical scientists in the background, having sleepless nights trying to figure out a way to make this lockdown nightmare end.

Company Develops AI-Controlled Shoes That Help the Blind Avoid Obstacles


Austrian company Tec-Innovation recently unveiled smart shoes that use ultrasonic sensors to help people suffering from blindness of vision impairment to detect obstacles up to four meters away. Known as InnoMake, the smart shoe aims to become a modern alternative to the decades-old walking stick that millions of people around the world depend on to get around as safely as possible. The currently available model relies on sensors to detect obstacles and warns the wearer via vibration and an audible alert sounded on a Bluetooth-linked smartphone. That sounds impressive enough, but the company is already working on a much more advanced version that incorporates cameras and artificial intelligence to not only detect obstacles but also their nature. Tec-Innovation partnered with Austria's Graz University of Technology to develop of state-of-the-art deep-learning algorithms modeled on neural networks that can analyze the information provided by sensors and cameras incorporated in the InnoMake shoe to determine whether an area is free obstacles and safe to walk on, and also distinguish between various types of obstacles. "Not only is the warning that I am facing an obstacle relevant, but also the information about what kind of obstacle I am facing.

Trust is a must: why business leaders should embrace explainable AI - Raconteur


"Trust is a must," she said. "The EU is spearheading the development of new global norms to make sure AI can be trusted. By setting the standards, we can pave the way to ethical technology worldwide." Any fast-moving technology is likely to create mistrust, but Vestager and her colleagues decreed that those in power should do more to tame AI, partly by using such systems more responsibly and being clearer about how these work. The landmark legislation – designed to "guarantee the safety and fundamental rights of people and businesses, while strengthening AI uptake, investment and innovation" – encourages firms to embrace so-called explainable AI.