My Manager is AI
Have you ever wondered who instructs a Uber driver or a Postmate or Deliveroo worker what to do next, which route to take and how he is being rated. Right. It is algorithm. Self training AI.
Have you ever wondered who instructs a Uber driver or a Postmate or Deliveroo worker what to do next, which route to take and how he is being rated. Right. It is algorithm. Self training AI.
In technology, failures were the stepping stones for all success.The thousands of prototypes Edison built for the electric bulb to NASA building its lunar module where the engineering philosophy was “There are no random anomalies”. In this Fast Company article Charles Fishman writes about two such amongst 1400 documented failures during development – one related to the the iconic triangle windows shattering and the high pressure helium tank bursting. The second was one of the solved puzzles while the first with the window glass, remains part of 22 that were never solved.
The deep learning technologies that serve targeted ads or recommend songs and shows are the same ones that will ‘be able to diagnose deadly diseases, make million-dollar trading decisions, and do countless other things to transform whole industries.
A lot of what we do online, posting videos, writing blogs or articles has been driven by the desire to garner likes. Now every company is a media company, inbound is your go to market tool driven by original content, in turn driven by likes, click-baits and similar basic appeals – it is time to stop and think.
There is a definite rise of ransomware hits specially on public utilities and government services in the US. What is fueling this? An insightful article by Renee Dudley in Pro Publica sheds a lot of light on what is actually going on.
It is known that the exponential growth we enjoyed thanks to Moore’s law is now leveling off and our ability to drive down the size of transistors using silicon is coming to the end of its road.
We have all heard it before. Why we strive to be the one to be disrupting – build the next Door dash, AirBnB, why Amazon even. Noam Cohen in his piece ‘Seeing Through Silicon Valley’s Shameless Disruption’ in Wired provokes some critical thoughts.
It is already 17B and growing. CB Insights projects it will be a 33B industry by 2022. The halo days of proprietary software is limited and Open Source captured the imagination of developers all over. Companies like Microsoft, Google, Redhat make large contributions to open source softwares. The criticality is evident from the Microsoft’s acquisition of Github for 7.5B in 2018, the largest in enterprise software in history.
We have been making lists of things that machines could never do – like recognize faces, drive cars, play chess and so on. Well, seems that we were wrong.
Vittorio Loreto at Sapienza University Rome in Italy and his friends have created the first mathematical model that can accurately reproduce the patterns that innovations follow.