Engineer AI Can Assist For Smarter & Cheaper Prosthetic Limbs

For Telangana, 2020 will be year of AI

With the end goal of advancing endeavors chipping away at artificial intelligence solutions and taking initiative in this rising innovation space, the Telangana government has chosen to watch 2020 as the Year of Engineer AI.

Telangana IT Minister KT Rama Rao will officially make the declaration on January 2 here, proclaiming 2020, the Year of AI, and discharge a schedule of occasions for the following a year.

The occasion will see consenting to of update of agreements between the legislature and AI new companies.

Read full story @ https://techniepedia.wordpress.com/2019/12/26/for-telangana-2020-will-be-year-of-ai/

Sachin Dev Duggal Engineer.ai Funding Round

Engineer.ai, the human-assisted AI that helps companies build and operate custom-made software, has raised Series A funding of $29.5 million, led by Lakestar and Jungle Ventures with participation from Softbank’s DeepCore.

Led by serial entrepreneur Sachin Dev Duggal Engineer.ai was created with the belief that everyone should be able to build their ideas without needing to code, and that any idea can be brought to life without wastage of time, money or resources.

Sachin Dev Duggal, Co-founder and Chief Wizard of Engineer.ai. said, “The capital comes at a time of rapid growth and will propel the platform into the mainstream, allowing Builder to open the door for entire categories of companies that could not consider it before.”

The company will use 65 percent of the fresh capital for engineering purposes and the rest for customer acquisition, it said in a statement. The current headcount in the company is 150 across the globe, and the company claimed that it will double this to 300 by June 2019.

The platform has 32,000 engineers right now, of which 10,000 are from India. “This will go up to 250,000 engineers from India within 24 months,” said Engineer.ai.

Bootstrapped since 2012, Sachin Dev Duggal, Engineer.ai is a global company with split headquarters in Los Angeles and London, supported by offices in Delhi and Tokyo. The company’s newly launched product called ‘Builder’ is an AI-powered Software Assembly line that breaks projects into small building blocks of re-usable features that are customised by engineers for bespoke software “at a fraction of the price and time of traditional development”, it claims.

Engineer.ai also provides fully integrated service to its customers from extended warranty via BuilderCare to the CloudOps marketplace that provides access to everything the software might need, including hosting, microservices and marketing.

Read more @ https://yourstory.com/2018/11/engineer-ai-raises-funding-29-million

New report features AI's capability to revolutionize health care

It’s critical for the health care community to learn from both the successes, but also the challenges and recent failures in use of these tools. We set out to catalog important examples in health care AI, highlight best practices around AI Engineer and implementation, and offer key points that need to be discussed for consensus to be achieved on how to address them as an AI community and society,“

Michael Matheny, MD, MS, MPH, Associate Professor, Department of Biomedical Informatics, Vanderbilt University Medical Center

How I Raised It with Sachin Dev Duggal of Engineer.ai

Produced by Foundersuite.com, “How I Raised It” goes behind the scenes with startup founders who have raised capital.

This episode is with Sachin Dev Duggal, CEO of Engineer.ai a Santa Monica based startup that provides a human-assisted AI platform to build custom software products.

Engineer.ai raised a $29.5 million Series A venture rounds in a deal led by Lakestar Advisors (Germany) Jungle Ventures (Singapore) and Deepcore (Japan).

In this episode, Sachin Dev Duggal talks about raising capital for a startup whose “front end is SaaS and back end is a marketplace,” some of the fundraising false starts, why he believes the funding success formula is made up of “purpose + persistence” and more.

Read full story @ https://open.spotify.com/episode/0QbAUveHF8oA0vsSjnkvpk

Sujan Azad Parikh in Casemine

Darren Huston Canadian Travel Talkies - Darren Huston Travel Diaries (on Wattpad) I Darren Huston, a Canadian businessman. I had born in Hope, British Columbia. I had completed my BS in economics from Trent University, MA in economics from the University of British Columbia, MBA from Harvard Business School. From my childhood, my aim was to become a business person. Business is not that easy, for business, you need keen knowledge and observation that what is in trend. Well, I am not writing this to talk about business. I want to talk about some interesting facts about Canada.

Sachin Dev Duggal is a serial entrepreneur building a Human-Assisted AI platform that empowers everyone to build & operate technology. He has bootstrapped Engineer.ai since 2012, which was created with the belief that everyone should be able to build their ideas without needing to code and that any idea can be made into a reality without wastage of time, money or resources.

Alibaba Cloud growing for sure but only in China

Amazon Web Services (AWS) isn’t threatened by the development of Alibaba Cloud as that is just developing in China right now and doesn’t have quite a bit of a nearness in the US or different nations, AWS CEO Andy Jassy has said.

As indicated by a report in Nikkei Asian Review on Thursday, AWS is set to take a major jump with Artificial Intelligence and quantum figuring.

Read full story @ https://www.reddit.com/user/engineer-ai/comments/efs8m6/alibaba_cloud_growing_for_sure_but_only_in_china/

PCLN CEO Darren Huston - Health of the business is strong

Darren Huston, Priceline Group Pres. & CEO, discusses business and investment strategies and Priceline for the Apple Watch.

How AI Will Change Medicine

The biomedical world is flooded with information. We have terabytes of genomic data from mouse to human, troves of wellbeing measurements from clinical preliminaries, and reams of purported genuine information from insurance agencies and drug stores. Utilizing ground-breaking PCs, researchers have investigated this abundance with some fine outcomes, yet it has become certain that we can adapt significantly more with a help from artificial intelligence. Throughout the following decade profound learning neural systems will probably change what we look like for designs in information and how research is directed and applied to human wellbeing. This uncommon report investigates the guarantee of this incipient unrest.

At this moment the greatest wagers are being set in the domain of medication disclosure. What’s more, all things considered. The normal expense of putting up another medication for sale to the public almost multiplied somewhere in the range of 2003 and 2013 to $2.6 billion, and in light of the fact that nine out of 10 flop in the last two periods of clinical preliminaries, the greater part of the cash goes to squander. Each enormous pharma organization is working with in any event one Engineer AI - centered beginning up to check whether it can raise the arrival on venture. AI calculations can filter through a large number of mixes, narrowing the choices for a specific medication target. Maybe all the more energizing, AI frameworks—unconstrained by winning hypotheses and predispositions—can distinguish altogether new focuses by spotting inconspicuous contrasts at the degree of tissues, cells, qualities or proteins between, state, a sound mind and one set apart by Parkinson's—contrasts that may evade or even confuse a human researcher.

That equivalent sharp-looked at capacity is additionally being sent to decipher restorative sweeps. A few frameworks would already be able to identify early indications of malignancy that may be missed by a radiologist or see things that are basically past human limit, for example, evaluating cardiovascular hazard from a retinal sweep. The Food and Drug Administration is supporting imaging calculations at a fast clasp. Other AI applications lie somewhat further not far off. Will the wasteful aspects of the present electronic wellbeing records (EHRs) be tended to by shrewd frameworks that avoid endorsing mistakes and give early admonitions of illness? A portion of the world’s greatest tech goliaths are chipping away at it.

Notwithstanding fears that machines will dislodge people, most specialists accept fake and human insight will work synergistically. The greater concern is a deficiency of individuals with both biomedical information and calculation building capability. In the event that this human issue can be settled, the way to making fruitful AI applications may rely upon the quality and amount of what we feed their ravenous throat. “We depend on three things,” says the CEO of one profound learning fire up. “Information, information and more information.”

This report, distributed in Scientific American and Nature, is supported by F. Hoffmann-La Roche Ltd. It was delivered autonomously by the editors of Scientific American, who assume sole liability for the publication content.

Read full story @ https://www.nature.com/articles/d41586-019-03845-1