Here's the complete schedule for all the big E3 press conferences and what video games to expect from Nintendo, Sony, Microsoft and many more. E3 is almost upon us. But before the show floor opens to the teaming masses, a bunch of the biggest players in the video games industry will hold big, flashy press conferences to wow gamers and woo the press. These shows are intended to boost hype for the biggest upcoming releases and, hopefully, show us all a little bit more about the games we've been looking forward to. Below is the full schedule of pre-E3 press conferences and following that you can read a little bit about each one and what we can expect to see.

Google has unveiled a set of principles for ethical AI development and deployment, and announced that it will not allow its AI software to be used in weapons or for "unreasonable surveillance". In a detailed blog post, CEO Sundar Pichai said that Google would not develop technologies that cause, or are likely to cause, harm. "Where there is a material risk of harm, we will proceed only where we believe that the benefits substantially outweigh the risks, and will incorporate appropriate safety constraints," he explained. Google will not allow its technologies to be used in weapons or in "other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people", he said. Also on the no-go list are "technologies that gather or use information for surveillance, violating internationally accepted norms", and those "whose purpose contravenes widely accepted principles of international law and human rights". The move follows widespread internal and external criticism of Google's involvement in Project Maven, the Pentagon's aerial battlefield intelligence programme, which some saw as a step towards the weaponisation of AI.

"I would argue that AI is overkill for the majority of use cases," Drew Perez, chief executive officer at Adatos, said during a panel discussion and added that the benefits of AI are not instantaneous in many cases. His start-up uses AI to study satellite and drone images of agricultural lands to assess things such as tree counts, soil conditions and plant health. "At the end of the day, if you think about it, it has to have a return on investment." Perez told an audience that, most AI programs today are in the "lab phase or innovation phase." He explained that even if there are the right conditions -- including having the right amount of computing power, sufficient data, the right mix of talent and a culture that readily embraces AI -- profitability is not guaranteed.

Just last week, the CEO of this company announced that this system will be installed, for the first time ever, in an American high school and an American university. The names of the institutions have not been made public for obvious reasons, but in these pilot programs for this disruptive new technology, the exposure to real-world environments will serve to further hone and refine the algorithms. Why not just start installing them everywhere, you might ask? The reason is simple: Given the sensitive nature of this technology and the panic a false alarm may bring (just imagine a SWAT team rushing to the scene), it is of utmost importance that the algorithms are as refined as possible before a mass rollout can be effected. And there's nothing besides natural environment exposure that can do that. Think of machine learning as no different than human learning. You need constant stimulus from a variety of seemingly chaotic environmental factors for true artificial intelligence to be achieved.

Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society. A company that makes stun guns and body cameras is teaming up with a company that makes drones to sell drones to police departments, and that might not even be the most worrisome part. The line of drones from Axon and DJI is called the Axon Air, and the devices will be linked to Axon's cloud-based database for law enforcement, Evidence.com, And it could open a vast new frontier for police surveillance. By working with a company that is already familiar with contracting with police departments, the Chinese-owned DJI--the world's biggest consumer drone manufacturer--could widen up a new, growing customer base: cops. Axon Air, which was announced Tuesday by Axon, is marketed as a way to help law enforcement with search-and-rescue operations, crowd monitoring, traffic-accident reconstruction, and evidence collection.

NASA's Curiosity Mars rover has found organic molecules on Mars, the space agency revealed in a major announcement Thursday During a press conference at NASA's Goddard Space Flight Center in Goddard, Md., and NASA's Jet Propulsion Laboratory in Pasadena, Calif., scientists noted that the molecules provide fresh insight into the Red Planet. "We found organic molecules in rocks from an ancient lake bed," explained Jen Eigenbrode, research scientist at Goddard. A variety of molecules were identified, she added. While NASA was at pains to explain that it has not discovered life on Mars, the organic molecules could provide vital clues. "Organic compounds are fundamental to our search for life," said Paul Mahaffy, director of the Solar System Exploration Division at Goddard.

Machine learning is an artificial intelligence (AI) technology which allows machines to learn by using algorithms to interpret data from connected'things' to predict outcomes and learn from successes and failures. There are many other AI technologies - from image recognition to natural language processing, gesture control, context awareness and predictive APIs - but machine learning is where most of the investment community's funding has flowed in recent years. It is also the technology most likely to allow machines to ultimately surpass the intelligence levels of humans. Many companies, like Alphabet, have already become'AI-first' companies, with machine learning at their core. At the same time, many ML techniques are getting commoditized by being open sourced and pre-packaged into developer toolkits that anyone can use.

AMSTERDAM--(BUSINESS WIRE)--Arriving in Amsterdam on the 27-28 June, the second annual AI Expo Europe event will host 2 co-located events covering IoT and Blockchain, with 8,000 attendees expected to attend including CTO's, CDO's, Head's of Innovation and Technology, IT Directors, Developers & Start-Up's, OEM's, Government, Automotive, Operators, Technology Providers, Investors, VCs and many more. The AI Expo will showcase the most cutting-edge technologies from more than 300 exhibitors and provide insight from over 300 speakers sharing their unparalleled industry knowledge and real-life experiences. The event will host a dedicated start-up incubator zone where you can see the latest AI & IoT technologies and innovations in action, in addition to the vast exhibition of 300 companies who will be showcasing their products and services within the field of AI, IoT & Blockchain. Expect to see demos and booths from Microsoft, IBM, PTC, Kore, Hercules, Thales, Rutronik, Enterprise Ethereum Alliance, BPU Holdings, Start-up Amsterdam, ML6, Bottos, Ortec Data Science, Adani, NTR Labs, Prosper BI and many more. Start-ups within the incubator zone include Aiir Innovations, Botsquad, Mercury.AI, IoTify, Porter, 3D Universium, Zazu, 904 Labs, Innovation in Motion, Blockhearts, Mind Trace, Sightcorp, Cupenya, Effect.Ai, Sodaq, Amberscript, BrainCreators, Clockworks to name a few. In addition, attendees can join speakers from Aiir Innovations, Mercury.AI and BrainCreators within the AI Technologies track on day 2 (28th June) as they explore innovative artificial intelligence techniques.

Machine learning is an artificial intelligence (AI) technology which allows machines to learn by using algorithms to interpret data from connected'things' to predict outcomes and learn from successes and failures. There are many other AI technologies - from image recognition to natural language processing, gesture control, context awareness and predictive application programming interfaces (APIs) - but machine learning is where most of the investment community's funding has flowed in recent years. It is also the technology most likely to allow machines to ultimately surpass the intelligence levels of humans. Many companies, like Alphabet, have already become'AI-first' companies, with machine learning at their core. At the same time, many ML techniques are getting commoditized by being open sourced and pre-packaged into developer toolkits that anyone can use.

DataVan, a 30-year-old point of service designer and manufacturer based in New Taipei City, Taiwan, has brought together partners from a diverse range of fields to expand its ofering from kiosk terminals to total solutions based on its AI, according to a press release. The "QSkip" kiosk footprint and modular design are adaptable to any type of business type, including hospitality, retail, healthcare, public and entertainment, the company said. The upcoming "YumQ" suite of solutions includes smart cloud management, online reservations and ordering, table-side self-ordering management, POS solutions and kitchen display systems. The multipurpose "HiFive" touchscreen panel PC is waterproof and dust proof and can set up in all environments in an instant, the release said. A POS terminal upgrade is also available, the release said.