Co-founders Ben Cheung and Charles Lee, who plan to join Microsoft, started Genee in 2014 to simplify the time-consuming task of scheduling (and rescheduling) meetings. It's especially useful for large groups and for when you don't have access to someone's calendar. Genee uses natural language processing and optimized decision-making algorithms so that interacting with a virtual assistant is just like interacting with a human one. For an example of how Genee works, let's take a look at a common scheduling problem. Say you want to meet a potential customer, Diana, for coffee.

Google is using AI to compress photos, just like on HBO's Silicon Valley South Africa's CLEVVA is making AI-powered virtual advisors a thing Artificial intelligence start-up Octo.ai raises 200000

Microsoft Corp.'s acquisition of the smart scheduling app Genee reflects a drive to add artificial intelligence to all of its digital experiences. The deal, announced Monday, could let Microsoft enhance its virtual assistant Cortana, to better compete with Alphabet Inc.'s Google Now and Apple Inc.'s Siri, as CIO Journal's Angus Loten reports. With Genee, Cortana could automatically set up business meetings by interpreting keywords in email. Though AI gets much attention these days, many CIOs don't have a clear idea about how to use the technology or maximize its value. Microsoft is expanding its AI expertise partly through acquisition, recently buying Wand Labs, a smart messaging app, and SwiftKey, a tool that predicts what users want to type next.

We believe Artificial Intelligence (AI) will usher the next revolution in technology and accelerate the disruptions in almost every industry and that France, one of the leading countries in AI, has a very rich ecosystem. This event – organized by ISAI, BPIfrance and La French Tech – aims at gathering all the players (startups, tech companies, research centers, meetups…) to support the ecosystem. At the end of the event, we will also publish a comprehensive landscape of the AI startups and ecosystem and will promote it both in France and the US.

Researchers at Google are working on a way to use neural networks, the building blocks of modern artificial intelligence, to make our picture files smaller without sacrificing quality. To consumers, smaller files means more available space on phones, tablets, and computers, but for tech companies like Google that offer unlimited photo storage, smaller photos could reduce server load, power consumption, and improve transfer speeds. This sort of idea has made its way into pop culture thanks to HBO's Silicon Valley, where the fictional compression startup Pied Piper uses neural networks to optimize how they shrink files. Google's work teaches neural networks how to scrimp and save data by looking at examples of how standard compression works in random images from the internet, according to a technical paper published on ArXiv. The paper shows that neural networks can beat standard JPEG compression on standard tests, according to the Google team.

People convey meaning by what they say as well as how they say it: Tone, word choice, and the length of a phrase are all crucial cues to understanding what's going on in someone's mind. When a psychiatrist or psychologist examines a person, they listen for these signals to get a sense of their wellbeing, drawing on past experience to guide their judgment. Researchers are now applying that same approach, with the help of machine learning, to diagnose people with mental disorders. In 2015, a team of researchers developed an AI model that correctly predicted which members of a group of young people would develop psychosis--a major feature of schizophrenia--by analyzing transcripts of their speech. This model focused on tell-tale verbal tics of psychosis: short sentences, confusing, frequent use of words like "this," "that," and "a," as well as a muddled sense of meaning from one sentence to the next.

Mobileye and Delphi Automotive have teamed up to work on autonomous vehicle technology. Two of the world's top self-driving tech firms are joining forces to deliver a fully autonomous, ready-to-install system for vehicles by 2019. Driven to distraction: Why IBM's Watson is getting onboard with self-driving vehicles and impatient passengers IBM has teamed up with Local Motors for a new autonomous vehicle. Here's how it will handle difficult passengers - and why you won't be able to buy one. Mobileye, the Israeli software firm that until recently supplied chips to support Tesla's Autopilot system, is teaming up with UK-headquartered Delphi Automotive, which counts GM and VW among its major customers.

You have a problem: Businesses all over the world are facing a serious issue. Employees are increasingly overworked, disengaged, and bogged down by inefficient processes. A Gallup poll of more than 80,000 workers found that just 31.5% described themselves as being engaged at work. The majority, 51%, say they're disengaged, and the final 17.5% reported actually being "actively disengaged." Legacy enterprise software is arguably one of the least engaging aspects of any job. However, many organizations have invested heavily in dated IT systems and will keep investing in their maintenance because those systems keep their business running, and any changes or upgrades would be incredibly costly and time consuming.

By 2025 Australians may well see the application of artificial intelligence in the preparation of tax returns, according to a report by KPMG. The movie "I Robot" starring Will Smith envisaged a future world ruled by robots. By 2025 Australians may well see the application of artificial intelligence in the preparation of tax returns, according to a report by KPMG. The report, 2025: People, economy and the future of tax, suggests a future world in which service industry professionals such as accountants will be replaced by robots and the size of revenue authorities such as the Australian Taxation Office will shrink. "The technological changes ... are likely to mean few mid-skilled jobs will be required," the report says.

Hot Chips Samsung has revealed the blueprints to its mystery M1 processor cores at the heart of its S7 and S7 Edge smartphones. International versions of the top-end Android mobiles, which went on sale in March, sport a 14nm FinFET Exynos 8890 system-on-chip that has four standard 1.6GHz ARM Cortex-A53 cores and four M1 cores running at 2.3 to 2.6GHz. Only two M1 cores are allowed to kick it up to the maximum frequency at any one time to avoid draining batteries and overheating pockets. The M1, codenamed Mongoose, was designed from scratch in three years by a team in the US, and it runs 32-bit and 64-bit ARMv8-A code. In benchmarks, the Exynos 8890 SoC is behind Apple's iPhone 6S A9 chip in terms of single-core performance, but pushes ahead in multi-core tests.