Showing posts with label MACHINE LEARNING. Show all posts
Showing posts with label MACHINE LEARNING. Show all posts

Monday, 9 October 2017

Are self-driving cars the future of mobility for disabled people?

Self-driving cars present fundamentally new ways to think about transportation and accessibility


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Self Driving Cars could revolutionise how disabled people get around their communities and even travel far from home. People who can’t see well or with physical or mental difficulties that prevent them from driving safely often rely on others – or local government or nonprofit agencies – to help them get around.

Autonomous vehicle technology on its own is not enough to help these people become more independent, but simultaneous advances in machine learning and artificial intelligence can enable these vehicles to understand spoken instructions, observe nearby surroundings and communicate with people. Together, these technologies can provide independent mobility with practical assistance that is specialized for each user’s abilities and needs.


A lot of the necessary technology already exists, at least in preliminary forms. Google has asked a blind person to test its autonomous vehicles. And Microsoft recently released an app called “Seeing AI” that helps visually impaired people better sense and understand the world around them. “Seeing AI” uses machine learning, natural language processing and computer vision to understand the world and describe it in words to the user.

In the lab I run at Texas A&M, along with the Texas A&M Transportation Institute, we are developing protocols and algorithms for people with and without disabilities and autonomous vehicles to communicate with each other in words, sound and on electronic displays. Our self-driving shuttle has given rides to 124 people, totaling 60 miles of travel. We are finding that this type of service would be more helpful than current transportation options for disabled people. Read More

Wednesday, 10 May 2017

Pink slips galore: Wipro, Infosys, Tech Mahindra, Cognizant cut India jobs

Tech Mahindra recently fired close to 1,000 employees; Wipro was the canary in the coal mine

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Once India's global claim to fame, the country's information technology (IT) sector is seeing a spate of layoffs by IT majors like Tech Mahindra, Wipro, Infosys and Cognizant. 

The churn in the IT sector — which is moving towards increasing automation, use of artificial intelligence and is beset by tightening visa regulations — is likely to affect mid-level employees with 10-15 years of experience the most, as many are averse to learning new skills, industry experts have said.

Further, Indian IT firms are witnessing their slowest growth in a decade, while global firms are shifting their budgets from traditional IT services to newer areas such as digital and cloud, which require engineers to engage with clients instead of working remotely. Even as this shift takes hold of the sector, automation is increasingly taking over low-end maintenance work, forcing companies to shift workers to other projects and reduce hiring from campuses. 

Tech Mahindra joins the bandwagon

As reported earlier, software services firm Tech Mahindra has sacked a thousand-odd employees this month. 

However, what happened at Tech Mahindra is not an outlier, other IT majors like Wipro, Cognizant, Infosys and Capgemini are also facing their own share of challenges, and moving to either prune or re-skill their respective workforce. 

“We have a process of weeding out bottom performers every year and this year is no different,” a Tech Mahindra spokesperson said.

As on December 31, 2016, the company’s total employee headcount stood at 117,095, while the software division had 80,858 employees. 

Wipro was the canary in the coal mine

Late in April, Wipro move to sack around 500 of its employees as part of its appraisal process. (Read more) 

The company is reported to have weeded out "non-performers" after a "rigorous performance appraisal". 

While Wipro did not specify the exact number of affected employees, the company said it “undertakes a rigorous performance appraisal process on a regular basis to align its workforce with the business objectives, strategic priorities of the organisation, and requirements of our clients”.

“This systematic and comprehensive performance evaluation process triggers a series of actions, such as mentoring, retraining and up-skilling. The performance appraisal may also lead to the separation of some employees from the company and these numbers vary from year to year,” it said. (READ MORE)

14th BRICS summit to review current global issues, reach key agreements

  At the   14th BRICS summit   which is to be hosted by China in a virtual mode on 23-24 June, the member nations will review the current gl...