Investors from Shanghai have joined a completed $5.5 million Series A1 round for AI business Cambridge Touch Technologies which aims to build on hard-won attraction in Asia. CTT is developing AI-driven, 3D multi-touch sensing technologies for smart devices. Existing investors - Parkwalk Advisors, Cambridge Enterprise and Amadeus Capital Partners - participated in the round and were joined by new investors China Materialia of Shanghai and Downing Ventures of London. Ascendant Corporate Finance provided advice to CTT on the fund raising. The Cambridge UK company's technology uses what is regarded as the world's simplest architecture to deliver an all-screen, multi-finger 3D touch solution that can scale to all device sizes at a fraction of the cost of existing approaches.

Bedside robots could do swathes of the work now done by doctors and nurses, saving the NHS almost £13bn a year - a tenth of its budget - a major report says today. The controversial study led by surgeon and former health minister Lord Darzi calls for the "full automation" of health and social services, claiming it would give staff "time to care" for patients. Almost one third of the tasks now done by nurses, and nearly one quarter of that done by hospital doctors could be done by robots and artificial intelligence systems, it says. And the widespread use of such methods could save the NHS almost 10 per cent of its annual running costs, the report says, while "carebots" in homes and care homes could take on 30 per cent of the workload now done by humans. The research, due out next week [June 19], follows calls from the Health and Social Care Secretary for an expected cash boost to be focussed on a "technological revolution" across the NHS, transforming the way it deals with pressures on it.

Skin cancer was found to be diagnosed more accurately by artificial intelligence than experienced dermatologists in a new international study. Researchers tested a form of machine learning known as a deep learning convolutional neural network (CNN) to reach this conclusion. The study titled "Artificial intelligence for melanoma diagnosis: How can we deliver on the promise?" was published in the cancer journal Annals of Oncology on May 28. Malignant melanoma accounts for 1 percent of all skin cancers but causes a majority of skin cancer-related deaths. The American Cancer Society estimates 9,320 people will die from melanoma in 2018 while 91,270 new cases will be diagnosed.

He said the company had made big strides in the country in terms of enterprises adopting its technologies such as cloud services, security, artificial intelligence and machine learning. How are Indian enterprises adopting your technologies, especially cloud and artificial intelligence? How large is the opportunity? Globally... only about 5%-10% of all workloads in IT run on the cloud. I think the estimates are quite conservative.

Nations sell goods and services to each other because this exchange is generally mutually beneficial. It's easy to understand that Iceland should not be growing its own oranges, given its climate. Instead, Iceland should buy oranges from Spain, which can grow them more cheaply, and sell Spaniards fish, which are abundant in its waters. That's why the explosion in free trade since the first bilateral deal was penned between Britain and France in the mid-1800s has generated unprecedented wealth and prosperity for the vast majority of the world's population. Hundreds of trade agreements later, the United States and several other countries established an international rules-based trading system after World War II. But now the U.S., which has played an integral role in bolstering this system, is actively trying to subvert it.

Fifa 19 will include the Champions League, as part of a major break with tradition. The move was announced during E3, where companies including Fifa developer EA revealed their plans for the future. The tournament has been Fifa's most glaring omission among what is otherwise an incredibly detailed and highly-licensed game. It includes most of the world's leagues and has even introduced a special mode for the World Cup, which this year came as a free update. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

Last year's Prey was a creepy shooter and role-playing game set on a spaceship riddled with black, shimmering aliens. The so-called'immersive sim' was praised for its science fiction story, which let you shape the main character and the fate of the hostile research station. The gameplay, though, was seen by many as a retread of BioShock, System Shock and other genre classics. Despite its wild Neuromod abilities, which let you become an expert hacker, fighter or shape-shifting alien, the rebooted Prey failed to catch the public's attention. The title is far from finished, though.

Xbox has unveiled a huge range of games coming to its platform this year – and a new Xbox that is in the works. Microsoft's Xbox boss Phil Spencer said this year was shaping up to be its biggest ever. It showed off an unprecedented number of games: 50 in total, including new updates to the Halo and Gears of War series. The company also gave intriguing hints about the future of the Xbox in general, including an entirely new console and a streaming service for games. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

Fully automating machine learning pipeline is one of the outstanding challenges of general artificial intelligence, as practical machine learning often requires costly human driven process, such as hyper-parameter tuning, algorithmic selection, and model selection. In this work, we consider the problem of executing automated, yet scalable search for finding optimal gradient based meta-learners in practice. As a solution, we apply progressive neural architecture search to proto-architectures by appealing to the model agnostic nature of general gradient based meta learners. In the presence of recent universality result of Finn \textit{et al.}\cite{finn:universality_maml:DBLP:/journals/corr/abs-1710-11622}, our search is a priori motivated in that neural network architecture search dynamics---automated or not---may be quite different from that of the classical setting with the same target tasks, due to the presence of the gradient update operator. A posteriori, our search algorithm, given appropriately designed search spaces, finds gradient based meta learners with non-intuitive proto-architectures that are narrowly deep, unlike the inception-like structures previously observed in the resulting architectures of traditional NAS algorithms. Along with these notable findings, the searched gradient based meta-learner achieves state-of-the-art results on the few shot classification problem on Mini-ImageNet with $76.29\%$ accuracy, which is an $13.18\%$ improvement over results reported in the original MAML paper. To our best knowledge, this work is the first successful AutoML implementation in the context of meta learning.

Predicting structured outputs can be computationally onerous due to the combinatorially large output spaces. In this paper, we focus on reducing the prediction time of a trained black-box structured classifier without losing accuracy. To do so, we train a speedup classifier that learns to mimic a black-box classifier under the learning-to-search approach. As the structured classifier predicts more examples, the speedup classifier will operate as a learned heuristic to guide search to favorable regions of the output space. We present a mistake bound for the speedup classifier and identify inference situations where it can independently make correct judgments without input features. We evaluate our method on the task of entity and relation extraction and show that the speedup classifier outperforms even greedy search in terms of speed without loss of accuracy.