New technological advances could have important implications for those affected by disabilities, offering valuable assistance throughout their everyday lives. One key example of this is the guidance that technological tools could provide to the visually impaired (VI), individuals that are either partially or entirely blind. With this in mind, researchers at CloudMinds Technologies Inc., in China, have recently created a new deep learning-powered wearable assistive system for VI individuals. This system, presented in a paper pre-published on arXiv, consists of a wearable terminal, a powerful processor and a smartphone. The wearable terminal has two key components, an RGBD camera and an earphone.

A humanoid robot sent by Russia's Vladimir Putin to the International Space Station (ISS) has failed to dock. A live stream of the six-foot Fedor robot - strapped in the pilot seat of the Soyuz spacecraft while wielding a Russia's white, blue and red flag - had to be interrupted with the humanoid still 100 meters away, news agency AFP reported. Fedor, an artificially intelligent robot known officially as Skybot F-850, was on an automated and unmanned mission to the space station, where he is supposed to help out crews for ten days. He is said to be the first humanoid sent to space by Russia. Having failed its landing at 05:30 BST on Saturday, Fedor will now have to wait until Monday to try reaching the ISS again.

A humanoid robot sent by Russia's Vladimir Putin to the International Space Station (ISS) has failed to dock. A live stream of the six-foot Fedor robot - strapped in the pilot seat of the Soyuz spacecraft while wielding a Russia's white, blue and red flag - had to be interrupted with the humanoid still 100 meters away, news agency AFP reported. Fedor, an artificially intelligent robot known officially as Skybot F-850, was on an automated and unmanned mission to the space station, where he is supposed to help out crews for ten days. He is said to be the first humanoid sent to space by Russia. Having failed its landing at 05:30 BST on Saturday, Fedor will now have to wait until Monday to try reaching the ISS again.

One astronomer had jumped the gun, tweeting ahead of an official announcement by LIGO (the Laser Interferometer Gravitational-Wave Observatory). The observatory had detected an outburst of gravitational waves, or ripples in spacetime, and an orbiting gamma-ray telescope had simultaneously seen electromagnetic radiation emanating from the same region of space. The observations--which were traced back to a colliding pair of neutron stars 130 million light-years away--marked a pivotal moment for multimessenger astronomy, in which celestial events are studied using a wide range of wildly different telescopes and detectors. The promise of multimessenger astronomy is immense: by observing not only in light but also in gravitational waves and elusive particles called neutrinos, all at once, researchers can gain unprecedented views of the inner workings of exploding stars, galactic nuclei and other exotic phenomena. But the challenges are great, too: as observatories get bigger and more sensitive and monitor ever larger volumes of space, multimessenger astronomy could drown in a deluge of data, making it harder for telescopes to respond in real time to unfolding astrophysical events.

Enthusiasts predicted the plan would relieve the pressure on hard-pressed GPs. Critics saw it as a sign of creeping privatisation and a data-protection disaster in waiting. Reactions to news last month that Amazon's voice-controlled digital assistant Alexa was to begin using NHS website information to answer health queries were many and varied. US-based healthcare tech analysts say the deal is just the latest of a series of recent moves that together reveal an audacious, long-term strategy on the part of Amazon. From its entry into the lucrative prescription drugs market and development of AI tools to analyse patient records, to Alexa apps that manage diabetes and data-driven experiments on how to cut medical bills, the $900bn global giant's determination to make the digital disruption of healthcare a central part of its future business model is becoming increasingly clear.

As oceans are altered by rising temperatures, acidification and other consequences of anthropogenic activity, understanding the behavioral patterns and responses of marine animals is required for effective stewardship. Researchers have made great strides in investigating marine megafauna behavior related to long-distance migrations (Block et al., 2011; Rasmussen et al., 2007; Sequeira et al., 2018) and foraging strategies (Sims et al., 2008; Weise et al., 2010). However, the behavior of more numerous, higher total-biomass, lower trophic-level animals such as zooplankton is much less well understood. Early attempts to investigate in situ behavior of zooplankton such as jellyfish relied on scuba divers following animals with hand-held video cameras (Colin and Costello, 2002; Costello et al., 1998) and later with remotely operated vehicles (ROVs; Kaartvedt et al., 2015; Purcell, 2009; Rife and Rock, 2003). Acoustic methods have also been used to describe large-scale movement patterns of jellyfish (Båmstedt et al., 2003; Kaartvedt et al., 2007; Klevjer et al., 2009), although these methods can be resolution-limited.

Both industries and governments alike have invested significantly in the AI field, with many AI-related startups established in the last 5 years. If another AI winter were to come about many people could lose their jobs, and many startups might have to shut down, as has happened before. Moreover, the economic difference between an approaching winter period or ongoing success is estimated to be at least tens of billions of dollars by 2025, according to McKinsey & Company. This paper does not aim to discuss whether progress in AI is to be desired or not. Instead, the purpose of the discussions and results presented herein is to to inform the reader of how likely progress in AI research is. For a detailed overview of both AI winters check out my first and second medium article on the topic. In this section, the central causes of the AI winters are extracted from the above discussion of previous winters.

Consumers International has released a new study on consumer experiences of artificial intelligence (AI) and the ways in which AI enabled services shape their consumer journeys and experiences, and consumer outcomes. The report'Artificial Intelligence: consumer experiences in new technology' contains a summary of new findings about the consumer experience of AI from IPSOS Global's participatory research with families and individuals in India, Australia and Japan, and insights from interviews with expert stakeholders from the region. It also incorporates the results of the multi-stakeholder roundtable held in Singapore in March 2019, where consumer organisations, businesses, academics and regulators discussed how AI enabled technology can deliver the best possible outcomes for consumers, whilst recognising and mitigating against potential challenges and risks.

The shape of a severe storm, such as this one, is an important factor in whether the storm produces hail and how large the hailstones are, but current hail-prediction techniques are typically not able to take the storm's entire structure into account. NCAR scientists are experimenting with a new machine-learning technique that can process images to weigh the impact of storm shape and potentially improve hail forecasts. This image is freely available for media and nonprofit use.) The same artificial intelligence technique typically used in facial recognition systems could help improve prediction of hailstorms and their severity, according to a new study from the National Center for Atmospheric Research (NCAR). Instead of zeroing in on the features of an individual face, scientists trained a deep learning model called a convolutional neural network to recognize features of individual storms that affect the formation of hail and how large the hailstones will be, both of which are notoriously difficult to predict.

One of the largest annual legal tech conferences in the U.S. drew more attendees this year than ever, according to organizers, underscoring the dramatic growth of the legal tech industry and its increasing importance to the practice of law. The International Legal Technology Association's annual event this week at Disney World in Orlando, Fla., ILTACON, was on track to hit a total of 1,850 participants, up from 1,715 at last year's conference, which was held outside Washington. ILTACON is considered one of the premier legal technology gatherings of the year. The total in Orlando included 800 first-time attendees and exhibit booths from about 200 legal tech vendors. But the statistic that appeared seemed to energize top ILTA officials speaking to the press most, including ILTA CEO Joy Heath Rush, was that the conference has a growing international draw.