This article is brought to you thanks to the collaboration of The European Sting with the World Economic Forum. One of the popular memes in literature, movies and tech journalism is that man's creation will rise and destroy it. Lately, this has taken the form of a fear of AI becoming omnipotent, rising up and annihilating mankind. The economy has jumped on the AI bandwagon; for a certain period, if you did not have "AI" in your investor pitch, you could forget about funding. However, is there actually anything deserving of the term AI?

Can you imagine walking through a store and being served by a robot? Something like this will happen in the electronics department of the Palacio de Hierro located in Polanco, Mexico City. A robot developed by Intel will be the department store's new advisor, it will help users choose computers and other electronic devices. The humanoid combines artificial intelligence with the internet of things and cloud services. The robot has the ability to answer common questions through its voice interaction, as well as profile what each user will need and move to the correct counter to show the customer the product.

The judge said that most of the lawsuit could move forward, despite Apple's request to have it thrown out. Judge Jeffrey S. White, of federal district court in Oakland, did dismiss one piece involving users' economic harm. But he ruled that the plaintiffs, who are trying to make the suit a class action case, could continue pursuing claims that Siri turned on unprompted and recorded conversations that it shouldn't have and passed the data along to third parties, therefore violating user privacy.

A Tesla in Autopilot mode crashed Saturday into a Florida Highway Patrol cruiser parked on the side of the road in Orlando. The crash happened while a federal investigation into Tesla's partially automated driving system is underway after nearly a dozen crashes involving emergency responder vehicles. The official police report from the Florida Highway Patrol states an Orlando man stopped his disabled vehicle in the travel lane of the highway. A 28-year-old trooper parked his patrol vehicle, a 2018 Dodge Charger, directly behind the disabled vehicle and activated the Dodge's emergency lights. The trooper then exited the vehicle to assist the driver.

SpaceX will attempt to catch a massive rocket using "robot chopsticks", according to Elon Musk. The audacious plan could be carried out later this year during a major test of the Mars-bound Starship craft, which will see it blasted into orbit by a Super Heavy booster rocket. The so-called chopsticks refer to mechanical arms attached to SpaceX's launch tower – named'Mechazilla' by Mr Musk – which will help guide the booster rocket back down onto the pad. This system could eventually allow for rapid reusability and allow for multiple Starship launches in a single day, though chances of early success are far from guaranteed. "SpaceX will try to catch largest ever flying object with robot chopsticks," Mr Musk tweeted on Monday.

Ian Watson, Rosina O Weber, David Leake Case-based reasoning is reasoning from experience, solving new problems and interpreting new situations by retrieving and adapting prior cases. The Twenty-Eight International Conference on Case-Based Reasoning (ICCBR2020) was held from June 8-12, 2020, with program chairs Ian Watson and Rosina Weber. The conference was originally scheduled for Salamanca, Spain, a World Heritage site, under the auspices of local chair Juan Manuel Corchado and the University of Salamanca. Its theme, "CBR Across Bridges", reflected the goal of bringing together researchers and practitioners with relevant work across various AI areas. Before the conference, the pandemic struck, with tragic effects. The conference chairs resolved to continue with a safe alternative: the first virtual ICCBR. With researchers unable to travel, the virtual conference not only bridged AI areas but geographic ones: 141 conference attendees participated from 23 countries.

Toyota has apologised for the "overconfidence" of a self-driving bus after it ran over a Paralympic judoka in the athletes' village and said it would temporarily suspend the service. The Japanese athlete, Aramitsu Kitazono, will be unable to compete in his 81kg category this weekend after being left with cuts and bruises following the impact with the "e-Palette" vehicle. His injuries prompted a personal intervention from the president of Toyota, Akio Toyoda. As part of its sponsorship of Tokyo 2020, Toyota has been showcasing its autonomous vehicles via a shuttle service, which has been running around the clock in the athletes' village. On Thursday, however, one of the buses pulled away from a T-junction and drove through a pedestrian crossing while Kitazono, a visually impaired athlete, was walking across.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Given that natural language processing (NLP) is a subset of artificial intelligence (AI), models need to train on large volumes of data. Unfortunately, many researchers are unable to access or develop the models and datasets necessary for robust systems -- they are mostly the purview of large technology giants. Hugging Face, the winner of VentureBeat's Innovation in Natural Language Process/Understanding Award for 2021, is looking to level the playing field. The team, launched by Clément Delangue and Julien Chaumond in 2016, was recognized for its work in democratizing NLP, the global market value for which is expected to hit $35.1 billion by 2026.

The artificial intelligence systems used by image recognition tools, such as those that certain connected cars use to identify street signs, can be tricked to make an incorrect identification by a low-cost but effective attack using a camera, a projector and a PC, according to Purdue University researchers. A research paper describes an Optical Adversarial Attack, or OPAD, which uses a projector to project calculated patterns that alter the appearance of the 3D objects to AI-based image recognition systems. The paper will be presented in October at an ICCV 2021 Workshop. In an experiment, a pattern was projected onto a stop sign, causing the image recognition to read the sign as a speed limit sign instead. The researchers say this attack method could also work with image recognition tools in applications ranging from military drones to facial recognition systems, potentially undermining their reliability.

The application of statistical machine learning techniques in chemistry has a long history1. Algorithmic innovation, improved data availability, and increases in computer power have led to an unprecedented growth in the field2,3. Extending the previous generation of high-throughput methods, and building on the many extensive and curated databases available, the ability to map between the chemical structure of molecules and materials and their physical properties has been widely demonstrated using supervised learning for both regression (for example, reaction rate) and classification (for example, reaction outcome) problems. Notably, molecular modelling has benefited from interatomic potentials based on Gaussian processes4 and artificial neural networks5 that can reproduce structural transformations at a fraction of the cost required by standard first-principles simulation techniques. The research literature itself has become a valuable resource for mining latent knowledge using natural language processing, as recently applied to extract synthesis recipes for inorganic crystals6.