Robotics is helping to rehabilitate and increase human abilities in areas like mobility and stamina. Innovations in robotic devices, exoskeletons, and wearable tech aim to offer disabled people different perspectives and new experiences, as well as supporting humans more widely to access, inhabit and work safely in dangerous and extreme conditions. What does the future hold for these technologies and the people they will become a part of? In this special live recording at the Victoria and Albert Museum as part of the Great Exhibition Road Festival, Claire chatted to Milia Helena Hasbani (Imperial College London), Benjamin Metcalfe (University of Bath) and Dani Clode (Cambridge University) about robotic prosthetics and human augmentation. Milia Helena Hasbani is a researcher in assistive technology at Imperial College London.

Memes are a popular form of communicating trends and ideas in social media and on the internet in general, combining the modalities of images and text. They can express humor and sarcasm but can also have offensive content. Analyzing and classifying memes automatically is challenging since their interpretation relies on the understanding of visual elements, language, and background knowledge. Thus, it is important to meaningfully represent these sources and the interaction between them in order to classify a meme as a whole. In this work, we propose to use scene graphs, that express images in terms of objects and their visual relations, and knowledge graphs as structured representations for meme classification with a Transformer-based architecture. We compare our approach with ImgBERT, a multimodal model that uses only learned (instead of structured) representations of the meme, and observe consistent improvements. We further provide a dataset with human graph annotations that we compare to automatically generated graphs and entity linking. Analysis shows that automatic methods link more entities than human annotators and that automatically generated graphs are better suited for hatefulness classification in memes.

Whether it is managing childcare, operating on a patient or cooking a Sunday dinner, there are many occasions when an extra pair of arms would come in, well, handy. Now researchers say such human augmentation could be on the horizon, suggesting additional robotic body parts could be designed to boost our capabilities. Tamar Makin, a professor of cognitive neuroscience at the MRC cognition and brain unit at Cambridge University, said the approach could increase productivity. "If you want an extra arm while you're cooking in the kitchen so you can stir the soup while chopping the vegetables, you might have the option to wear and independently control an extra robotic arm," she said. The approach has precedence: Dani Clode, a designer and colleague of Makin's at Cambridge University, has already created a 3D-printed thumb that can be added to any hand.

Commercial AI solutions provide analysts and managers with data-driven business intelligence for a wide range of decisions, such as demand forecasting and pricing. However, human analysts may have their own insights and experiences about the decision-making that is at odds with the algorithmic recommendation. In view of such a conflict, we provide a general analytical framework to study the augmentation of algorithmic decisions with human knowledge: the analyst uses the knowledge to set a guardrail by which the algorithmic decision is clipped if the algorithmic output is out of bound, and seems unreasonable. We study the conditions under which the augmentation is beneficial relative to the raw algorithmic decision. We show that when the algorithmic decision is asymptotically optimal with large data, the non-data-driven human guardrail usually provides no benefit. However, we point out three common pitfalls of the algorithmic decision: (1) lack of domain knowledge, such as the market competition, (2) model misspecification, and (3) data contamination. In these cases, even with sufficient data, the augmentation from human knowledge can still improve the performance of the algorithmic decision.

Human augmentation is rapidly gaining popularity. What if tech-enhanced people take over the world! It can be incredibly helpful if you look at it from a realistic perspective. Although human augmentation plays a major role in modern society, it is rarely given the attention it deserves. Let me assume the role of Scooby Gang and reveal all. Anything that provides cognitive or physical enhancements to the user's experience is considered human augmentation.

It began in early October 2017, when 108 stroke patients with significant arm and hand disabilities turned up for a peculiar clinical trial. The researchers would be surgically implanting a neurostimulator to their vagus nerve, the cranial nerve that runs along the groove in the front of the neck and is responsible for transmitting signals from the brain to other parts of the body. By the time the trial concluded, the subjects' once limited limbs had begun to come back to life. Somehow, pulses to that nerve combined with rehab therapy had given the patients improved use of their disabled limb--and done so faster and more effectively than any treatment before it, even on those who had responded to nothing else. This spring, the findings of the trial were published in The Lancet.

The past year showed how vital the continuity of the supply chain is to healthcare, goods manufacturing, and practically every facet of everyday life. The recent attention the industry has experienced, (as shortages continue to mount), has also led to a massive wake-up call for the supply chain to closely embrace digital transformation. Within this thread of having a more precise and actionable view of inventory, AI is playing a critical role in accelerating the supply chain. AI in the supply chain management market is expected to reach $1.3 billion by 2024. But AI success within the supply chain can't happen without human augmentation.

Combining humans with machines to create superhuman intelligence may soon no longer be the plot of science-fiction films, as the US Space Force's chief scientist say it will happen in'the coming decade.' Dr. Joel Mozer, speaking at an event at the Airforce Research Laboratory Wednesday, announced we are entering the age of'human augmentation,' which is crucial to the US's national defense in order to not'fall behind our strategic competitors.' However, his proposal does not turn humans into cyborgs, but employs'AI agents' to assist with strategic military planning. Mozer highlights the abilities seen in developed by a Google subsidiary, AlphaGo Zero, which was able to train itself to play the game of Go at a master level in just a few weeks. Mozer suggests the extortionary capabilities can lead to superhuman capabilities, by means of combining human ingenuity with the power, speed and efficiency of machines.

Human augmentation conjures up visions of futuristic cyborgs, but humans have been augmenting parts of the body for hundreds of years. Glasses, hearing aids and prosthetics evolved into cochlear implants and wearables. Even laser eye surgery has become commonplace. But what if scientists could augment the brain to increase memory storage, or implant a chip to decode neural patterns? What if exoskeletons became a standard uniform for autoworkers, enabling them to lift superhuman weights?

During the Gartner IT Symposium or Xpo, analysts in the technology sphere presented their findings. Now Gartner is highlighting the top strategic IT trends that companies will need to sample out in 2020. Gartner gives a definition of what a "strategic technology trend" is by saying that it's one that has substantial potential to disrupt the existing technologies and is now moving away from being called an emerging technology into joining the pool of the technologies that are said to have a broader impact as well as use. It's a technology that is rapidly growing and expected to reach its tipping points within the next few years owing to its high degree of volatility. As a blockchain development team, you need to be aware of these technologies and how they will impact the app development processes.