Turbotodd

Ruminations on tech, the digital media, and some golf thrown in for good measure.

Archive for the ‘artificial intelligence’ Category

Better AI

leave a comment »

Happy Monday.

That was some baseball game last night between the Houston Astros and the LA Dodgers at Minute Maid Park in downtown Houston.

The Astros go down 4-0 early, then come back and tie the game, and then the score seesaws back and forth all the way through the bottom of the tenth before Houston’s Bregman hit a walk-off single to drive in the winning run.

No AI-driven computer simulation could likely have foreseen such an insane game with that outcome.

Then again, we might out imagine what would might become of us if it could.

Which is why the Information Technology Industry Council, whose members include IBM, Amazon, Facebook, and Oracle, have listed five areas to improve the development of artificial intelligence.

According to a report in the Wall Street Journal, suggestions include designing autonomous systems that are consistent with international conventions and preserve human rights; prioritizing user safety; using large, representative data sets while identifying potential bias; and creating accountability frameworks to assuage concerns over liability when AI takes action after making a decision.

You can read the full ITI AI Policy Principles here.

 

Written by turbotodd

October 30, 2017 at 9:47 am

Rooting for the People Who Make the Machines

leave a comment »

Happy Monday.

And go, those Houston Astros (sorry, Yankees fans…there’s always next year, and you have a great team).

We’ll see how the ‘Stros can hold up tomorrow against the Dodgers in what’s expected to be a very heated environment in game 1 of the World Series (literally…the temperatures at game time are expected to be around 95 or beyond!).

Some tech news you can use for the morning of October 23…Cisco is making yet another acquisition (just last week they bought San Jose-based startup, Perspica, which specializes in machine learning and stream analysis.)

This time the deal’s a wee bit bigger, some ~ $1.9B for BroadSoft, a 28 percent premium. As Bloomberg reports, the deal will give Cisco a “major new presence in cloud-based communications products and services.”

Also on the M&A/IPO front, Chinese online loan provider Qudian raised some $900M in a U.S. IPO, but is already coming under fire from local media about the “legitimacy of its business.”

According to TechNode, the company claims to have suspended student-targeted loans in November 2015 as the state issued a ban on online loans to college students following outrage over exorbitant rates and various financial scams.

The story went on to suggest added risk with the company’s reliance on Alipay for new user acquistion.

And the AI war for talent continues. The New York Times’ Cade Metz looks deep into the AI talent bench, and writes that salaries are spiralikng so fast that “some joke the tech industry needs a National Football League-style salary cap on AI specialists.”

No word as of press time as whether or not the AI gurus stand on the sidelines during the National Anthem.

Written by turbotodd

October 23, 2017 at 8:58 am

I’ll Gladly Pay You Tuesday…

leave a comment »

Yesterday, Cisco announced plans to acquire San Jose-based startup Perspica, a company that specializes in using machine learning to analyze streams of data.

According to a story from NetworkWorld, Cisco intends to integrate the Perspica technology into its AppDynamics product, which provides network and application monitoring and analytics.

If you’re on the lookout for a better word processing and spreadsheet mousetrap in the cloud, former Googler Alex DeNeui has launched a private beta of Code, writes The Verge.

Here’s the pitch:

“It’s a document so powerful you can build apps in it.” Open it for the first time and you’ll see a blank canvas that will be familiar to anyone who has ever used Google Docs or Microsoft Word. But drop in a table, add a few rows and columns, and you’ll find a powerful engine underneath. Coda wrote its own, modern formula language design to integrate other services into your spreadsheets. Enter “GoogleDirections” into a formula, for example, and Coda will insert a Google Map with directions from an origin location to a destination.
– via The Verge

And if you’d rather pay someone Tuesday to grab a hamburger today, check out the new PayPal capability in Facebook Messenger.

TechCrunch is reporting that PayPal users in the U.S. will now be able to send and receive person-to-person payments over Messenger, and this new integration will also include PayPal’s first customer service bot for handling customer questions and requests for help.

No word yet on whether the Messenger bot gives change.

Written by turbotodd

October 20, 2017 at 11:12 am

Go…Go

leave a comment »

Google’s DeepMind subsidiary which focuses on artificial intelligence has unveiled a new and improved version of its Go-playing software, AlphaGo Zero, according to a report from The Verge.

The story claims that the new version of the program is a “significantly better player than the version that beat the game’s world champion earlier this year.”

But more notably, it asserts the new version is entirely self-taught.

The Verge explains the original AlphaGo demonstrated superhuman Go-playing ability, but needed assistance from humans to win, building on a dataset of more than 100,000 Go games as a starting point.

The new version has only been programmed with the basic rules of Go, while everything else it learned from scratch.

A paper published in Nature outlines how Zero developed its Go skills by competing against itself. Starting with random moves on the board, every time it won, Zero updated its own system and played itself over and over, millions of time, “learning” as it went.

The Verge reports it took AlphaGo Zero only three days of self-play to become strong enough to defeat the version of itself that beat 18-time world champion Lee Se-dol, winning 100 days to nil.

Lead programmer David Silver had this to say at a recent press conference about the advance:

By not using human data — by not using human expertise in any fashion — we’ve actually removed the constraints of human knowledge. It’s therefore able to create knowledge itself from first principles, from a blank slate…This enables it to be much more powerful than previous versions.

 

Elon Musk had better speed up development of that Mars program.

Written by turbotodd

October 19, 2017 at 8:13 am

IBM and MIT to Pursue Joint Research in Artificial Intelligence

leave a comment »

IBM and MIT today announced that IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT. The lab will carry out fundamental artificial intelligence (AI) research and seek to propel scientific breakthroughs that unlock the potential of AI.

The collaboration aims to advance AI hardware, software and algorithms related to deep learning and other areas, increase AI’s impact on industries, such as health care and cybersecurity, and explore the economic and ethical implications of AI on society. IBM’s $240 million investment in the lab will support research by IBM and MIT scientists.

The new lab will be one of the largest long-term university-industry AI collaborations to date, mobilizing the talent of more than 100 AI scientists, professors, and students to pursue joint research at IBM’s Research Lab in Cambridge — co-located with the IBM Watson Health and IBM Security headquarters in Kendall Square, in Cambridge, Massachusetts — and on the neighboring MIT campus.

The lab will be co-chaired by IBM Research VP of AI and IBM Q, Dario Gil, and Anantha P. Chandrakasan, dean of MIT’s School of Engineering. IBM and MIT plan to issue a call for proposals to MIT researchers and IBM scientists to submit their ideas for joint research to push the boundaries in AI science and technology in several areas, including:

  • AI algorithms: Developing advanced algorithms to expand capabilities in machine learning and reasoning. Researchers will create AI systems that move beyond specialized tasks to tackle more complex problems, and benefit from robust, continuous learning. Researchers will invent new algorithms that can not only leverage big data when available, but also learn from limited data to augment human intelligence.
  • Physics of AI: Investigating new AI hardware materials, devices, and architectures that will support future analog computational approaches to AI model training and deployment, as well as the intersection of quantum computing and machine learning. The latter involves using AI to help characterize and improve quantum devices, and also researching the use of quantum computing to optimize and speed up machine-learning algorithms and other AI applications.
  • Application of AI to industries: Given its location in IBM Watson Health and IBM Security headquarters and Kendall Square, a global hub of biomedical innovation, the lab will develop new applications of AI for professional use, including fields such as health care and cybersecurity. The collaboration will explore the use of AI in areas such as the security and privacy of medical data, personalization of healthcare, image analysis, and the optimum treatment paths for specific patients.
  • Advancing shared prosperity through AI: The MIT-IBM Watson AI Lab will explore how AI can deliver economic and societal benefits to a broader range of people, nations, and enterprises. The lab will study the economic implications of AI and investigate how AI can improve prosperity and help individuals achieve more in their lives.

In addition to IBM’s plan to produce innovations that advance the frontiers of AI, a distinct objective of the new lab is to encourage MIT faculty and students to launch companies that will focus on commercializing AI inventions and technologies that are developed at the lab. The lab’s scientists also will publish their work, contribute to the release of open source material, and foster an adherence to the ethical application of AI.

Both MIT and IBM have been pioneers in artificial intelligence research, and the new AI lab builds on a decades-long research relationship between the two. In 2016, IBM Research announced a multi-year collaboration with MIT’s Department of Brain and Cognitive Sciences to advance the scientific field of machine vision, a core aspect of artificial intelligence.

The collaboration has brought together leading brain, cognitive, and computer scientists to conduct research in the field of unsupervised machine understanding of audio-visual streams of data, using insights from next-generation models of the brain to inform advances in machine vision. In addition, IBM and the Broad Institute of MIT and Harvard have established a five-year, $50 million research collaboration on AI and Genomics.

For more information, visit MITIBMWatsonAILab.mit.edu.

Written by turbotodd

September 7, 2017 at 9:09 am

HSBC and IBM Develop Cognitive Intelligence Solution to Digitize Global Trade

leave a comment »

HSBC, the world’s leading trade finance bank, is working with IBM to develop a cognitive intelligence solution combining optical character recognition with advanced robotics to make global trade safer and more efficient for thousands of businesses.

HSBC’s Global Trade and Receivables Finance (GTRF) team facilitates over U.S. $500 billion of documentary trade for customers every year, and in doing so must manually review and process up to 100 million pages of documents, ranging from invoices to packing lists and insurance certificates.

The new solution uses IBM’s advanced analytics technology, including intelligent segmentation and text analytics, to identify, digitise and extract key data within these documents before feeding it into the bank’s transaction processing systems; boosting accuracy whilst freeing up staff for more value-adding activities.

“The average trade transaction requires 65 data fields to be extracted from 15 different documents, with 40 pages to be reviewed,” said Natalie Blyth, HSBC’s Global Head of GTRF. “By digitising this process we will make transactions quicker and safer for both buyers and suppliers, leading our industry forwards, and we will reduce compliance risks through an enhanced ability to manage huge volumes of data.”

“The problem is how to capture semi-structured documents with highly variant content through an analogue process, and no-one has the perfect answer,” said Roger Welch, Industry (Financial) Expert and Solution Architect for IBM Analytics ECM practice. “In our experience, no trade finance solution has come as far or done as much as this new solution.”

HSBC is currently using the technology to analyse English-language import and export bills in several markets in Asia, Europe, the Americas and the MENA region. The team aims to enhance the solution so it can read a wider range of documents and languages including French, Spanish and Chinese.

“We are continuously investing in technologies that will improve the way we work for the benefit of our customers and our people,” said Natalie Blyth. “HSBC wants to be the leading bank for innovation, and initiatives like this one are key to achieving our goal.”

You can learn more about IBM Watson Financial Services here.

Written by turbotodd

August 10, 2017 at 9:19 am

Codify Academy Users IBM Cloud, Watson to Design Cognitive Chatbot

leave a comment »

IBM recently announced that Codify Academy, a San Francisco-based developer education startup, tapped into IBM Cloud’s cognitive services to create an interactive cognitive chatbot, Bobbot, that is improving student experiences and increasing enrollment.

Using the IBM Watson Conversation Service, Bobbot fields questions from prospective and current students in natural language via the company’s website.

Since implementing the chatbot, Codify Academy has engaged thousands of potential leads through live conversation between the bot and site visitors, leading to a 10 percent increase in converting these visitors into students.

IBM Cloud with Watson provided Codify Academy with the speed and scale needed to immediately start building with cognitive intelligence. Bobbot can answer more than 200 common questions about enrollment, course and program details, tuition, and prerequisites, in turn enabling Codify Academy staff to focus on deeper, more meaningful exchanges.

For example, students can ask questions such as “What kind of job will I be able to find after I complete the program?” or “How do I apply, and what are tuition rates?”

“We saw a huge spike in interest from potential students in the early days of our company, which is a fortunate problem to have, but made us realize we needed to quickly build a solution to help us scale,” said Matt Brody at Codify Academy. “IBM Cloud gave us the infrastructure and access to cognitive services, including Watson, that we needed to quickly build and deploy an intelligent and intuitive bot – in turn helping us to field all inquiries and significantly increase enrollment.”

Codify Academy runs on the IBM Cloud platform, which has become one of the largest open, public cloud deployments in the world. It features more than 150 tools and services, spanning categories of cognitive intelligence, blockchain, security, Internet of Things, quantum computing and DevOps.

“We have designed our cloud platform to serve as the best possible engine for cognitive apps such as chatbots," said Adam Gunther, Director, IBM Cloud. "This enables companies to harness and fine tune incoming data quickly to create highly tailored user experiences.”

To learn more about Codify Academy, visit http://codifyacademy.com/.

Written by turbotodd

August 4, 2017 at 1:42 pm

%d bloggers like this: