Daily Archives: July 12, 2017

Google acquires India’s Halli Labs, which was building AI tools to fix ‘old problems’ – TechCrunch

Posted: July 12, 2017 at 12:28 pm

Some more M&A news in the world of artificial intelligence. Today it was made public that Google has acquired Halli Labs, a very young (its first public appearance was on May 22 of this year) startup based out of Bengaluru, India, that was focused on building deep learning and machine learning systems to address what it describes as old problems.

The company says it will be joining Googles Next Billion Users team to help get more technology and information into more peoples hands around the world.

Halli announced the news itself earlier today in a short post on Medium, and Caesar Sengupta, a product management VP at Google, also confirmed the acquisition with a Tweet.

Google has now also confirmed the acquisition with a short statement it provided to TechCrunch.

We are excited that the Halli Labs team is joining Google, said spokesperson Taj Meadows. Theyll be joining our team that is focused on building products that are designed for the next billion users coming online, particularly in India.

Its not clear whether or not Halli Labs (Halli means village in Kannada, the company notes) was funded. The companys founder, Pankaj Gupta, is a data scientist with an interesting history that includes running recommendation and personalization at Twitter, and a role as CTO at now-defunct Indian Airbnb rival Stayzilla, among other entrepreneurial ventures.

Its also not clear how many more people were working at Halli Labs. Were trying to find that out too.

The acquisition is significant for a couple of reasons.

One is that it shows the ongoing interest by the largest tech companies in the world to double down on AI and its many facets, from software through to hardware, and pure research through to practical applications.

Google has been one of the leaders in this field, with extensive programs in house augmented by acquisitions and other efforts. It hassnapped up companies like DeepMind in the UK and hasforgedstrong programs with educational institutions to tap into talent early.

(Notably, Googles parent company Alphabet has also offloaded some assets, such as its Boston Dynamics unit, which seems to imply that it is shifting away from AI-based hardware into more AI-based applications around software.)

The other trend here is that we are continuing to see a significant amount of consolidation in the field of AI.

A huge number of startups have been founded breaking new ground in deep learning, neural networks, computer vision, natural language processing, robotics, and more. While some of these will grow longer term as independent entities Element.ai, as one example, is banking on the idea of staying independent as a counter lever to the big tech giants the very biggest tech players are also serving as magnets bringing some of the smaller players and their talent together.

Companies besides Google and its parent company Alphabet that are acquiring AI expertise through acquisitions include Baidu, Samsung, Microsoft, Apple, Facebook and Snap, among many others.

Its notable to me, too, that Halli came out of India (with a Silicon Valley pedigree, but still based in India). Along with Samsung making its first acquisition out of Greece this week, you can see how the race for talent is seeing companies cast their nets far and wide beyond the valley; and also how talent doesnt have to be located within spitting distance of US 101 to get noticed.

Updated with comment from Google.

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Microsoft’s new AI app describes the world for the visually impaired now available on iPhone – GeekWire

Posted: at 12:28 pm

The new Seeing AI app from Microsoft narrates the world for the visually impaired. (Microsoft Photos, via App Store)

Microsoft released a new artificial intelligence app for iPhone this morning that can read text from signs and documents aloud, describe people and their emotions, identify currency values, and narrate the activity taking place in front of the user, among other futuristic features.

The app, called Seeing AI, is designed for the visually impaired but also serves as a showcase for Microsofts artificial intelligence capabilities. The initial release on iPhone continues Microsofts approach, under CEO Satya Nadella, of working with a variety of platforms beyond its own Windows operating system.

Seeing AI was first previewed at a Microsoft conference last year, but wasnt available publicly until now.

The news was part of an event this morning in London where the company made a series of AI announcements, including a new AI research and incubation hub inside Microsoft Research, a new Ethical Design Guide for AI andan initiative called AI for Earth to encourage the use of artificial intelligence for environmental solutions.

Microsoft is competing against a variety of tech companies seeking to make a mark in artificial intelligence, including Amazon, Google, Facebook, Salesforce and others. The company last year formed a new 5,000-person engineering and research team, called the Microsoft AI and Research Group, led by veteran technology exec Harry Shum, to further its AI initiatives.

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Microsoft’s pitch to be an AI winner – BBC News – BBC.com – BBC News

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IBM’s new Services Platform uses AI to help businesses manage their IT operations – TechCrunch

Posted: at 12:28 pm

IBM is launching a new machine learning-centric product for enterprises today: the IBM Services Platform. This new service aims to help businesses manage their IT infrastructure and make better data-driven decisions to keep that infrastructure running smoothly.

Because there cant be a machine learning service from IBM that doesnt invoke the Watson brand, the services full name is IBM Services Platform with Watson.

The overall idea here is to take all of the data that enterprises gather from their networks and operations and to use it to predict and prevent potential problems. In the best case scenario, the platform will be able to prevent issues by taking action ahead of time, but it can also autonomously fix issues if its too late to stop them from escalating.

As IBM stresses, though, the focus here is on pairing human and machine not necessarily on completely removing IT from the operations. In addition to its autonomous features, the service also provides IT staff with information about the state of their networks and tools to help them make their own data-driven decisions, too.

As a company spokesperson told me, the service can run client workloads on premises and in the cloud. Existing services can be integrated into the platform so that their data becomes available to the Services Platform for analysis. Thanks to this, users can continue to run their workloads on their preferred clouds.

The platform supports the entire managed services life-cycle, from designing to building, integrating and running services, with autonomic operations and augmented subject matter expertise, IBM explains in todays announcement. The company also notes that its service can look at unstructured data from emails and chats to gather insights about issues.

All of this sounds a bit abstract and IBMs announcement is a bit short on details, but there can be little doubt that IT infrastructure automation which is essentially what this new service provides will be a fast-growing market. And it makes sense to look to cognitive services like this to manage the increasingly complex IT infrastructure that is now at the heart of virtually every major enterprise.

As far as how this service is structured in practice, IBM says that it uses the IBM Data Lake to gather all of this data, with a dashboard for its users on top of that. This dashboard gives IT real-time access and visibility into the companys IT environment and keep tabs on the autonomous services that will aim to keep everything running.

On the startup side, services like Heili and others also offer AI-driven cloud infrastructure management services that use machine learning to keep a watchful eye over a companys infrastructure. Sunview and others offer similar capabilities.

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Gong, an AI-based language tool to help sales and customer service reps, nabs $20M – TechCrunch

Posted: at 12:28 pm

As artificial intelligence continues its spread into all aspects of computing, many believe that it will be the next big frontier in CRM. Today a startup called Gong.io underscores that trend: the Israeli startup, which has built a tool that uses natural language processing and machine learning to help train and suggest information to sales people and other customer service reps, has raised a $20 million in funding.

The Series A round, which brings the total raised by Gong.io to date to just over $26 million was led by previous investorsNorwest Venture Partnersand Shlomo Kramer, the co-founder of CheckPoint Software. New investorsWing Venture CapitalandNextWorld Capital are also in the round.

Amit Bendov, the CEO who co-founded the company with Eilon Reshef (both have track records growing, selling and IPOing startups), said in an interview that the new funding will be used for sales development and bringing on more talent to keep building the product.

The company has been doubling revenues for the last four quarters (he wouldnt disclose the size of those revenues, however) and claims its AI-based solution has contributed to a collective $1 billion in revenues among its customer base, which includesAct-On, SalesLoft, Sisense, Greenhouse, and Zywave.

Were having a great run so far, Bendov said. We recognise a lot of opportunity ahead and will use it to widen the gap and invest more in the product and additional areas. He says that Gong.io is hiring dozens of researchers and engineers in speech, NLP and related areas The focus is on improving user experience and data science.

Gong.io may have its roots in sales the Gong in its name is a reference to those gongs that you often hear about or see on sales floors, which get hit whenever someone closes a deal but Bendov tells me that the product already being used in a variety of scenarios where you have customer service agents talking with people over voice or video calls. About 30 percent of Gong.ios business today comes from outside straight sales and in other areas of CRM. The idea is not to replace salespeople and others, Bendov added, but to help them do their jobs better.

There are a number of tools already out in the market that help salespeople and others in CRM (which includes things as diverse as IT support to people who man beleaguered Twitter accounts) and no shortage of those who are also tapping into the developments in artificial intelligence to improve how they do this.

Gong.ios approach is that its providing multiple levels of help to its users.

There is a real-time processor that is listening to and reading all the audio from interactions as they take place. Then it uses language processing and speech recognition to make suggestions on the fly to help steer the conversation. There is also a secondary analytical service that processes the call, along with many others, to parse the conversation and figure out what is going on later for more detailed training and reports.

Both are focused on keywords that they use to calculate likely outcomes from conversations and if you follow AI you will know that this is one of the key and most interesting aspects of the field, since it perhaps highlights most importantly how computers can not only think like humans but can do it faster and potentially more reliably when the right answer is the one you need.

The platform also is able to measure more than just keywords: it also has the ability to pick up on emotions in a conversation, to help steer people away from what might end up being sticky situations.

Fun fact: Gong.io went to the Bible of sticky situations to train its platform. Bendov tells me that the team fed in the full run of Seinfeld to teach the platform about awkward conversations, sarcasm, humor and rising tension. Maybe I should call Larry David the next time were fundraising, Bendov suggested. Serenity now!

For the moment, its getting a lot of interest from more traditional investors keen on getting into more of the AI trend.

We have been very impressed with Gong.ios rapid growth and stellar execution of their original vision and we are thrilled to increase our investment, said Dror Nahumi, General Partner at Norwest Venture Partners, in a statement. Gong.io is taking a strong lead in a whitespace category that will grow.

The conversations a company has with its customers are strategic data assets that have been untapped for far too long, said Peter Wagner, Founding Partner of Wing Venture Capital, who joins the board with this around along with Ben Fu of NextWorld. For the first time, Gong.io turns these customer conversations into productive intelligence resources with profound implications across the enterprise.

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After Go, developers are now building AI to beat us at soccer – CNET

Posted: at 12:28 pm

AI beat us at chess, and now they're looking to defeat us in soccer too.

Look out, Messi. After Google's AlphaGo artificial intelligence bested our best Go player, South Korea is now setting its sights on making AI that can play soccer.

Hosted by the Korea Advanced Institute of Science & Technology (KAIST), the AI World Cup will see university students across South Korea developing AI programs to compete in a series of online games, reportedThe Korea Times. The prelims will begin in November.

"The football matches will be conducted in a five on five tournament," a KAIST spokesperson told the publication on Tuesday. "Each of the five AI-programmed players in such positions as striker, defender and goalkeeper will compete with their counterparts."

That's not all though, as competing students will also build AI experts that can provide post-game analysis.

It's not the first time researchers are putting their tech developments to the test using soccer. The first Robot World Cup soccer games (or RoboCup), an annual international robotics competition that aims to advance robotics and AI research, put competitive soccer-playing robots in the field a decade ago. But soccer isn't the only thing that tech can do -- in the same year, IBM's computer, Deep Blue, defeated Garry Kasparov in a game of chess.

While the competition is only limited to university students in South Korea this time, it will be opened to international teams "in the first half of 2018," Kim Jong-hwan, president of the AI World Cup committee said in the statement.

Tech Enabled: CNET chronicles tech's role in providing new kinds of accessibility.

Batteries Not Included: The CNET team reminds us why tech is cool.

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Google’s Artificial Intelligence Destroyed the World’s Best Go Player. Then He Gave This Extraordinary Response – Inc.com

Posted: at 12:28 pm

It was billed as a battle of human intelligence versus artificial intelligence, man versus machine.

The machine won.

Just over a month ago, a Google computer program named AlphaGo competed against 19-year-old Chinese prodigy Ke Jie, the top-ranked player of what is believed to be the world's most sophisticated board game, Go. (According to Wikipedia, the number of possible moves in Go--a number estimated to be greater than the total count of atoms in the visible universe--vastly outweighs those in chess.)

Soon after losing the decisive second match in a series of three, Ke blamed his loss on the very element that separated him from his foe:

His emotions.

"I was very excited. I could feel my heart bumping," Ke told The New York Times in an interview. "Maybe because I was too excited I made some stupid moves.... Maybe that's the weakest part of human beings."

But this was just the beginning.

Fast forward one month later.

With some time to reflect, Ke Jie said the following in an interview (which was shared on Twitter by Demis Hassabis, founder and CEO of DeepMind, the company that developed AlphaGo):

"After my match against AlphaGo, I fundamentally reconsidered the game, and now I can see that this reflection has helped me greatly. I hope all Go players can contemplate AlphaGo's understanding of the game and style of thinking, all of which is deeply meaningful. Although I lost, I discovered that the possibilities of Go are immense and that the game has continued to progress. I hope that I too can continue to progress, that my golden era will persevere for a few more years, and that I will keep growing stronger."

Absolutely brilliant.

In a few short sentences, Ke demonstrated that what he felt was a weakness--the impact of emotion--was actually his greatest strength.

It's the hurt from losing that caused Ke to engage in self-reflection, caused him to find meaning in his loss. It's emotion that inspired him to pursue growth and progress.

I see this as a remarkable example of emotional intelligence (EI), the ability to make emotions work for you instead of against you. EI is about much more than identifying our natural abilities, tendencies, strengths, and weaknesses. It involves learning to understand, manage, and maximize all of those traits, so that you can:

When we develop emotional intelligence, failure isn't bad. It's just another learning opportunity. It's about cultivating a mindset of continuous growth, continuing the journey of self-improvement.

These are also very "human" elements.

I guess the machines didn't win after all.

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How Artificial Intelligence Is Changing Storytelling – HuffPost

Posted: at 12:28 pm

Artificial Intelligence or AI can create dynamic content. Lets apply best use cases to our work as storytellers.

At this years Wimbledon Tennis Tournament, for example, IBMs artificial intelligence platform, Watson, had a major editorial role -- analyzing and curating the best moments and data points from the matches, producing Cognitive Highlight videos, tagging relevant players and themes, and sharing the content with Wimbledons global fans.

Intel just announced a collaboration with the International Olympic Committee (IOC) that will bring VR, 360 replay technology, drones and AI to future Olympic experiences. In a recent press release Intel notes, The power to choose what they want to see and how they want to experience the Olympic Games will be in the hands of the fans.

In the context of development, future technology will change the way we interact with global communities. Researchers at Microsoft are experimenting with a new class of machine-learning software and tools to embed AI onto tiny intelligent devices. These edge devices dont depend on internet connectivity, reduce bandwidth constraints and computational complexity, and limit memory requirements yet maintain accuracy, speed, and security all of which can have a profound effect on the development landscape. Specific projects focus on small farmers in poor and developing countries, and on precision wind measurement and prediction.

Microsofts technology could help push the smarts to small cheap devices that can function in rural communities and places that are not connected to the cloud. These innovations could also make the Internet of Things devices cheaper, making it easier to deploy them in developing countries, according to a leading Microsoft researcher.

But the fact is, the non-western setting is currently the greatest challenge for AR/VR platforms. Wil Monte, founder and Director of Millipede, one of our SecondMuse collaborators says currently VR/AR platforms are completely hardware reliant, and being a new technology, often require a specification level that is cost-prohibitive to many.

Monte says labs like Microsoft pushing the processing capability of machine learning, while crunching the hardware requirements will mean that the implementation of the technologies will soon be much more feasible in a non-western or developing setting. He says development agencies should be empowered to push, optimise and democratise the technology so it has as many use cases as possible, therefore enabling storytellers to deploy much needed content to more people, in different settings.

"From our experience in Tonga, I learned that while the delivery of content via AR/VR is especially compelling, the infrastructure restraints means that we need to 'hack' the normal deployment and distribution strategies to enable the tech to have the furthest reach. With Millipede's lens applied, this would be immersive and game-based storytelling content, initially delivered on touch devices but also reinforced through a physical board or card game to enable as much participation in the story as possible, Monte says.

According to Ali Khoshgozaran, Co-founder and CEO of Tilofy, an AI-powered trend forecasting company based in Los Angeles, content creation is one of the most exciting segments where technology can work hand in hand with human creativity to apply more data-driven, factual and interactive context to a story. For example, at Tilofy, they automatically generate insights and context behind all their machine generated trend forecasts. When it comes to accessing knowledge and information, issues of digital divide, low literacy, low internet penetration rate and poor connectivity still affect hundreds of millions of people living in rural and underdeveloped communities all around the world, Khoshgozaran says.

This presents another great opportunity for technology to bridge the gap and bring the world closer. Microsoft use of AI in Skypes real-time translator service has allowed people from the furthest corners of the world to connect -- even without understanding each others native language -- using a cellphone or a landline. Similarly, Googles widely popular translate service has opened a wealth of content originally created in one language to many others. Due to its constant improvements in quality and number of languages covered, Google Translate might soon enhance or replace human-centric efforts like project Lingua by auto translating trending news at scale, Khoshgozaran says.

Furthermore, technologies like the Google Tango and Apple ARKit can provide new opportunities says Ali Fardinpour, Research Scientist in Learning and Assessment via Augmented/Virtual Reality at CingleVue International in Australia. The opportunity to bring iconic characters out of the literature and history and bring them to every kid's mobile phone or tablet and educate them on important issues and matters in life can be one of the benefits of Augmented Reality Storytelling.

Fardinpour says this kind of technology can substitute for the lack of mainstream media coverage or misleading coverage to educate kids and even adults on the current development projects, I am sure there are a lot of amazing young storytellers who would love the opportunity to create their own stories to tell to inspire their communities. And this is where AR/AI can play an important role.

A profound view of the future of storytellers comes from Tash Tan, Co-Founder of Sydney based Digital Company S1T2. Tan is leading one of our immersive storytelling projects in the South Pacific called LAUNCH Legends aimed at addressing issues of healthy eating and nutrition through the use of emerging, interactive technologies. As storytellers it is important to consider that perhaps we are one step closer to creating a truly dynamic story arch with Artificial intelligence. This means that stories won't be predetermined or pre-authored, or curated but instead they will be emerging and dynamically generated with every action or consequence, Tan says, If we can create a world that is intimate enough and subsequently immersive enough we can perhaps teach children through the best protagonist of all -- themselves.

A version of this story first appeared on the United Nations System Staff College blog earlier today.

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Artificial Intelligence Poised to Improve Lives of People With Disabilities – HuffPost

Posted: at 12:28 pm

By Shari Trewin, IBM T.J. Watson Research Center and Chair, Association for Computing Machinery Special Interest Group on Accessible Computing (SIGACCESS)

Are you looking forward to a future filled with smart cognitive systems? Does artificial intelligence sound too much like Big Brother? For many of us, these technologies promise more freedom, not less.

One of the distinctive features of cognitive systems is the ability to engage with us, and the world, in more human-like ways. Through advances in machine learning, cognitive systems are rapidly improving their ability to see, to hear, and to interact with humans using natural language and gesture. In the process, they also become more able to support people with disabilities and the growing aging population.

The World Health Organization estimates that 15 percent of the global population lives with some form of disability. By 2050, people aged 60 and older will account for 22 percent of the world's population, with age-related impairments likely to increase as a result.

I'm cautiously optimistic that by the time I need it, my car will be a trusted independent driver. Imagine the difference it will make for those who cannot drive to be able to accept any invitation, or any job offer, without being dependent on having a person or public transport to get them there. . Researchers and companies are also developing cognitive technologies for accessible public transportation. For example, IBM, the CTA (Consumer Technology Association) Foundation, and Local Motors are exploring applications of Watson technologies to developing the world's most accessible self-driving vehicle, able to adapt its communication and personalize the overall experience to suit each passengers unique needs. Such a vehicle could use sign language with deaf people; describe its location and surroundings to blind passengers; recognize and automatically adjust access and seating for those with mobility impairments; and ensure all passengers know where to disembark.

The ability to learn and generalize from examples is another important feature of cognitive technologies. For example, in my smart home, sensors backed by cognitive systems that can interpret their data will learn my normal activity and recognize falls or proactively alert my family or caregivers before a situation becomes an emergency, enabling me to live independently in my own home more safely. My stove will turn itself on when I put a pot on, and I'll tell it "cook this pasta al dente," then go off for a nap, knowing it will turn itself off and has learned the best way to wake me.

All of this may sound futuristic, but in the subfield of computer science known as accessibility research, machine learning and other artificial intelligence techniques are already being applied to tackle obstacles faced by people with disabilities and to support independent aging. For example, people with visual impairments are working with researchers on machine learning applications that will help them navigate efficiently through busy and complex environments, and even to run marathons. Cognitive technologies are being trained to recognize interesting sounds and provide alerts for those with hearing loss; to recognize items of interest in Google Street View images, such as curb cuts and bus stops; to recognize and produce sign language; and to generate text summaries of data, tailored to a specific reading level.

One of the most exciting areas is image analysis. Cognitive systems are learning to describe images for people with visual impairment. Currently, making images accessible to the visually impaired requires a sighted person to write a description of the image that can then be read aloud by a computer to people who can't see the original image. Despite well-established guidelines from the World Wide Web Consortium (W3C), and legislation in many countries requiring alternative text descriptions for online images, they are still missing in many websites. Cognitive technology for image interpretation may, at last, offer a solution. Facebook is already rolling out an automatic description feature for images uploaded to its social network. It uses cognitive technologies to recognize characteristics of the picture and automatically generates basic but useful descriptions such as "three people, smiling, beach."

The possibilities for cognitive technology to support greater autonomy for people with disabilities are endless. We are beginning to see the emergence of solutions that people could only dream of a decade ago. Cognitive systems, coupled with sensors in our homes, in our cities and on our bodies will enhance our own ability to sense and interpret the world around us, and will communicate with us in whatever way we prefer.

The more that machines can sense and understand the world around us, the more they can help people with disabilities to overcome barriers, by bridging the gap between a person's abilities and the chaotic, messy, demanding world we live in. Big Brother may not be all bad after all.

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Immortality Inducer – TV Tropes

Posted: at 12:27 pm

These characters typically weren't born immortal, but they didn't let that stop them. They find or create an object, magical or scientific, that will grant them that which they seek. This trope happens whenever a character is immortal through the agency of a physical object. How the object works can be very varied. It may be Powered by a Forsaken Child, thus invoking Immortality Immorality, or it could be powered by harmless Techno Babble. The extent to which it works and what kind of immortality it bestows also varies. It might only work on a single character, or it could work on anyone in the vicinity. It may also have negative side effects, especially if it's a prototype or created by a Mad Scientist. Said object will often be an Amulet of Dependency: they will typically lose that immortality if the object is destroyed or sometimes just if they lose contact with the object, often resulting in No Immortal Inertia. In some cases, characters may try to merge with this item in order to gain its effects permanently. This may work, or it might backfire horribly, depending on the story and what the object is. There are typically three forms this trope can take: the object simply existing grants them immortality, the object must be used in some way periodically to keep them immortal, or the object must be worn or carried in order to make them immortal. Likely to be a MacGuffin or Plot Coupon. If the Immortality Inducer can be mass-produced, it may lead to a Society of Immortals. Supertrope to Soul Jar and Heart Drive. Subtrope of Immortality. Contrast Artifact of Death.

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This Witherless Rose will wither away instead of you... This Immortal Heart will cease to pump blood, instead of yours. This Diamond will turn to dust in place of your mortal body.

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