Earlier this month, Associate Professor in U of T's Department of Computer Science Raquel Urtasun joined Uber as the head of the first Advanced Technologies Group outside of the US. The lab team will be developing self-driving vehicle technology in Toronto.
Global banking giant Citigroup is trying to eliminate public sector corruption and improve transparency, in a new global challenge that has drawn thousands of entries from around the world.
It's no secret that companies scrutinize their customers' online habits, drawing inferences for targeted advertising. Last week, Twitter announced a new transparency tool seeking to demystify the process-and promptly found itself under fire for "cissexism" and "egregious rhetorical violence" against transgender, non-binary, and gender-fluid and gender-nonconforming users.
In March, Twitter announced a partnership with IBM's Watson to combat one of its most vexing and longest-simmering problems: harassment. Twitter has been the scene of some of the highest-profile and most egregious recent acts of online harassment, from Gamergate to Leslie Jones to the so-called troll storms of the…
At Amazon's prototype grocery store, Amazon Go, customers can walk in, pick up what they want, and walk out without ever waiting in a checkout line or pulling out a wallet. Amazon will automatically charge their account and send them a receipt. Run out of paper towels? No problem.
SAN JOSE - Cheaper and older isn't typically associated with riches and success in the Bay Area tech scene. But that's just what San Jose is offering - cheaper office rent and older tech workers - to a rapidly expanding cohort of companies focused on artificial intelligence, the explosive new frontier in tech.
Why it is the right time for enterprises to embrace smart IT technologies - The Financial Express With the emergence of Artificial Intelligence (AI), Machine Learning (ML), Big Data, cloud computing and other concurrent new age technologies, the legacy IT companies and teams need to relook at their internal processes and structure.
Apple might be developing a new custom chipset for artificial intelligence (AI) processing, reports Bloomberg's Mark Gurman. The chipset, internally known as Apple Neural Engine, will be used to handle AI-related tasks like speech and facial recognition. The chipset could be incorporated into Apple's upcoming devices such as iPhone and iPad.
To translate: If an AI is capable of improving ("boostrapping") itself, or of building another, smarter AI, then that next version can do the same, and soon you have exponential growth. In theory this could lead to a system rapidly surpassing human intelligence, and, if you're in a Stross novel, probably a computer that's going to start eating people's brains.
Searching recently for evidence of artificial intelligence taking over our jobs, lives, and everything else, Tom Davenport came up empty. "Nary a robot overlord to be found," he declared at the 14 th MIT Sloan CIO Symposium.
Machine learning will be the next competitive frontier in 10 years and having good machine learning models, that perform the best, will be the competitive advantage that will differentiate between the winners and losers, a senior executive at the data management company MapR says.
Virtually every enterprise software vendor is creating noise in the market about artificial intelligence. Unfortunately, much of that marketing buzz offers little substance and creates confusion for customers about what's real. Given this FUD, the challenge for business people is deciding where to invest.
ORLANDO, Fla. - Machine learning and data analytics are on the rise, leaving some employees to fear that computers will take over their jobs, but that is not the case. Machine learning will simply change the role that humans play in the workforce, said Malcolm Gladwell, journalist and best-selling author, in a keynote at Citrix Synergy 2017.
The recent Google I/O conference saw the internet giant unveil is artificial intelligence intentions. From modest machine learning beginnings, Google has unveiled products that intend to revolutionise our daily lives and bring machine learning into all current applications.
We're thrilled to announce the first tranche of conference speakers for the Minds Mastering Machines (M3) three-day dive into machine learning, AI and advanced analytics this Autumn. We'll be gathering a wide range of experts together at 30 Euston Square from October 9 to 11, who will help you not just grasp the potential of these technologies, but show you how they've put them into practice in real-world businesses.
When processors can't get smaller, they need to get smarter. Nvidia wants its tech to be at the heart of that smart future with machines taking the lead.
After AlphaGo's historic victory against South Korean grandmaster Lee Sedol in March 2016, Go teacher Jianlun Qian felt a sense of impending crisis. He fretted about the demise of the game brought about by AI. Now that a more powerful AlphaGo has beaten the world's number one player, though, Qian feels differently.
In this episode of Judah Vs. The Machines, Judah visits UC Berkeley's Robot Learning Lab to meet Brett, a robot still in testing that was designed to learn like a human. Brett's creators hope that he could some day take on menial human tasks with the ability to adapt and learn new ways of accomplishing a goal, something that most other robots are incapable of doing.
Swiggy aims at strengthening data science and machine learning capabilities Online food ordering and delivery platform, Swiggy has rai...
Online food ordering and delivery platform, Swiggy has raised $80 million in Series E funding. The deal was led by Naspers, with participation from existing investors including Accel India, SAIF Partners India, Bessemer Venture Partners, Harmony Partners and Norwest Venture Partners.
Donahoe's announcement was yet another signal that machine learning is entering the mainstream. ServiceNow's commitment to the machine learning domain communicated to its customers that machine learning is something that will be an essential part of their future, and which they must take seriously.
Andrea Chronopoulos Google CEO Sundar Pichai was obviously excited when he spoke to developers about a blockbuster result from his machine-learning lab earlier this month. Researchers had figured out how to automate some of the work of crafting machine-learning software, something that could make it much easier to deploy the technology in new situations and industries.
According to industry headlines, the answers to many challenges facing credit unions today lie deep within their member data. However, with volumes of data spanning a credit union's systems and applications - and multiplying by the minute - bringing it all together under one technological roof is easier said than done.
CAMBRIDGE, Mass. -- Machine learning is overtaking big data in Google searches, but the hype around artificial intelligence systems may not be hyped enough. Erik Brynjolfsson and Andrew McAfee, co-authors of the forthcoming Machine, Platform, Crowd: Harnessing Our Digital Future , said some machine learning algorithms are improving faster than anticipated, thanks to enormous data sets and access to more compute power.
AI or machine learning techniques help credit unions with optimizing security issues.
Financial services jobs go in and out of fashion. In 2001 equity research for internet companies was all the rage. In 2006, structuring collateralised debt obligations (CDOs) was the thing. In 2010, credit traders were popular. In 2014, compliance professionals were it. In 2017, it's all about machine learning and big data.
Executive Summary While debate drags on about legislation, regulations, and other measures to improve the U.S. health care system, a new wave of analytics and technology could help dramatically cut costly and unnecessary hospitalizations while improving outcomes for patients.
Next week at the Machine Learning Innovation Summit in San Francisco, some of the brightest business and product leaders in the world will take the stage to explain how they're using these technologies to make products smarter, faster and more creative.
The goal of this presentation is to help researchers, analyst, and security enthusiast get their hands dirty applying machine learning to security problems. We will walk the entire pipeline from idea to functioning tool on several diverse security related problems, including offensive and defensive use cases for machine learning.
Google is testing a way to tie online ads to brick-and-mortar store purchases, a move whetting marketing appetites while fueling privacy worries. A product currently described as a "store sales measurement solution" was unveiled at a marketing conference this month in San Francisco by the internet giant.
Device sits behind the ear like a Bluetooth device and detects synthetic voices It uses a thermoelectric plate to send a shiver down its user's spine if it hears AI It detects synthetic sounds using the same algorithms used to encode them Developer claims that as human-mimicing machines improve, we could be left in a 'sea of disinformation powered by AI' Some day, we may no longer be able to tell robots and humans apart.
AI and machine learning won't create massive job losses in the foreseeable future, but some societal issues to come to mind. There's a perception of what artificial intelligence and machine learning mean to the breadth of the workforce: Truck drivers, middle managers, factory workers, even the programmers who teach the machines, all destined to unemployed years spent sprawled on the couch, watching soap operas, eating pizza, and swilling beer.
Companies are just discovering the potential of AI to unburden project managers, who are already spending too much time on paperwork or management tasks rather than crafting strategies and future plans on the macro level. The average project managers today ... Read More
Get ready for a surge in investment in AI for the automotive sector. That's the forecast from research outfit Tractica, which said that while the market for AI systems is clearly in its infancy, a future of strong growth is virtually assured. Its study (the results of which sell for
Windows Defender has come a long way from being a just another basic Antivirus program to become one of the most reliable one and even better than some of the popular Antivirus programs. A white paper on The Evolution of Malware Prevention released by Microsoft mentions that Windows Defender protects over a billion Windows customers and provide a verdict for around 90 billion potentially malicious encounters every day.
As hackers find more ways to compromise computers - from phishing to malicious web pages to taking advantage of user carelessness - and cyber-criminals go from pranksters or individual hackers to well-oiled commercial organizations that may even be funded by nation-states, security vendors are developing increasingly sophisticated technologies to help their customers fight back.
Why waste time going out with someone when you know your relationship is already doomed? Tory says sorry for saying 'we've not yet shot anybody' in Jo Cox's former seat Thankfully, a new web app from AI firm DataRobot can tell you, right now, whether you're going to stay together forever - or split up.
Only a few outliers in the banking sector, such as Capital One, have been able to ship AI products as quickly as their counterparts in Silicon Valley. Many financial institutions publicly announced ambitious plans to integrate A.I. and machine learning, but customers are still waiting months later.
Growing Unstructured data iand the demands to use and monetize it are increasing but the budgets to provide these capabilities is generally stagnant. New metadata tools based upon sophisticated big data analysis can organize and categorize this data, making it available when and where it is needed.
Chief product and platform officer Duncan Ritchie will hand his responsibilities as head of small business products to former chief data officer Tony Stewart, following his decision to take an extended period of leave. Stewart is a veteran of the tech industry and has led Xero's focus on automation and data innovation for the past year.
Software bots can successfully automate routine and repetitive tasks to increase business productivity, but on their own, are unable to provide depth or insight into what tasks are actually being performed. Using the latest in machine learning, robotic process automation is breathing new life into bot capabilities and opening up new doors for enhanced business productivity.
In 1959, an IBM employee by the name of Arthur Samuel programmed a computer to play checkers against him. Over time, the program was able to collect data, strategise and win a game all by itself. And thus, machine learning was born.
A meeting organized by physicists laid out the technology needed to network the physical world. A version of this story ran in the May 2017 issue of APS News. Some weird stuff is online these days. From a swallowed pill, to a sheet beneath a rustling baby, to a New England tomato, each can now transmit data about its surroundings to the cloud.
More and more people's jobs are coming under attack from machine-learning, artificially-intelligent robots. That much is clear, at least based on a growing number of business leaders, labor experts, and tech industry insiders ringing bells to let workers and companies know they had better be prepared for a more-automated world of work.
A year ago the University of California at Berkeley hosted a retirement celebration for David Patterson, who was hanging it up after a 40-year academic career in computer architecture. Patterson encored the event last May with a personal 16-minute history, chronicling his days as a wrestler in high school and college and a math major at UCLA, followed by a job at Hughes Aircraft and four decades at Berkeley.
Email is a necessary evil, but there are ways to make the experience less painful. Today, there are numerous options that can automate some of the most annoying email-based chores for you. Using smart email apps-ones imbued with AI, a chatbot, or clever built-in triage tools-you can get closer to inbox zero, be reminded of queries from your boss, or have scheduling handled for you.
Source: Johnny Guatto | University of Toronto The Vector Institute in Toronto has only been around for a few weeks, and it is already attracting top machine learning talent from Silicon Valley. One reason for this: President Donald Trump.
No matter what people say, machines are a great way to make sure work is even and precise. Machines have been there to help people ease work and make it easier than ever before. However, machines can also learn; the more technology progresses, the more automated everything becomes.
Amazon CEO Jeff Bezos appeared this week at the Internet Association 's annual gala in Washington, D.C., taking part in a wide-ranging discussion about the online economy, media coverage of Amazon, the company's business principles, and even going off topic a bit to discuss his Blue Origin space venture.
I am a heavy user of Raspberry Pis. Every year I build a massive musical lighting setup for Christmas using couple of Pis. During Halloween, I build Pi-powered talking skeletons, spooky pumpkins, and scary lights. Raspberry Pi powers the wireless controller for my open source 3D printer and my water foundation in the garden.
