Romeo, the big SoftBank investment, once again can barely walk. What a joke.
Thursday, August 16, 2018
Friday, August 10, 2018
The VAR horror in Java 10
Why have all the smart people left the Oracle Java Team and the JCP ? To our horror, it seems one of the few BIGGIE new features of Java 10 will be support for VAR. WHY?
VAR is an abomination. It is even doubled abomination in Java because it indicates dynamic typing when it IS NOT. Worse, it is code type OBFUSCATION leading to more bugs.
They've gone full nutters over there. Someone tell me what's happened to the smart people.
I don't know how useful this will be, as I am quite used to seeingint i =0
orString name = "Java"
, and I liked the type information present in the variable declaration line, but it looks like Java is going the way Scala and Kotlin are and trying to incorporate changes from there.
Also note that the var keyword can only be used for local variables, i.e. variables inside methods or code blocks — you cannot use it for member variable declaration inside the class body.
And, finally, it doesn't make Java a dynamically typed language like Python. Java is still a statically typed language, and once the type is assigned, you cannot change it. For example,var name = "Java"
is OK, but thenname = 3;
is not OK.
VAR is an abomination. It is even doubled abomination in Java because it indicates dynamic typing when it IS NOT. Worse, it is code type OBFUSCATION leading to more bugs.
They've gone full nutters over there. Someone tell me what's happened to the smart people.
Tuesday, August 7, 2018
Is Avaama an AI Company? What about Lumiata? Is it enough just to add .AI to your domain name to get the big bucks?
Companies like Avaama are a bit hard to understand. with 28 million in funding from Series A from the likes of Intel Capital and Wipro, really all they are doing is putting a speech query system in front of standard applications. Is this AI? Not really.
There is a lot of talk about making speech better and many systems have advanced features. MaryTTS is one good example where you can even specify moods like Happy in the response. Is this AI? Nothing is being inferenced.
Noonean's first product - NeuralBase - thinks about what data you are asking for and uses several deep analytics which are AI based including neural network language systems to provide more sophistication rather than simply speech to text.
Noonean's second product - OnticBase - extends that with knowledge management capture into a neural structure. This provides even more information.
But we still have a lot of work to do. It used to be that seed round was initiated with a clear product concept and business plan. Now many people want to see beta level products. This was OK with simple websites, it's not so OK when complex AI products are part of it.
Lumiata is another "AI" company getting a lot of investment. They take big data from healthcare and then use "AI" to analyze it. This special sauce is never specified there is never anything described as to their technique and what makes it "AI"
Sadly investors are not savvy and many are going to be fooled with systems which barely could be said to be doing AI but then again, definitionally, what qualified for AI or machine learning. Some people seem to have a very shallow concept of this. They are willing to throw buckets of money on anything remotely having anything to do with AI, well hopefully they will be interested in a real machine learning company with real products not just a big data cruncher or a speech to app player.
This is going to be a big problem going forward as more companies jump in with somewhat "MEH" offerings.
There is a lot of talk about making speech better and many systems have advanced features. MaryTTS is one good example where you can even specify moods like Happy in the response. Is this AI? Nothing is being inferenced.
Noonean's first product - NeuralBase - thinks about what data you are asking for and uses several deep analytics which are AI based including neural network language systems to provide more sophistication rather than simply speech to text.
Noonean's second product - OnticBase - extends that with knowledge management capture into a neural structure. This provides even more information.
But we still have a lot of work to do. It used to be that seed round was initiated with a clear product concept and business plan. Now many people want to see beta level products. This was OK with simple websites, it's not so OK when complex AI products are part of it.
Lumiata is another "AI" company getting a lot of investment. They take big data from healthcare and then use "AI" to analyze it. This special sauce is never specified there is never anything described as to their technique and what makes it "AI"
Sadly investors are not savvy and many are going to be fooled with systems which barely could be said to be doing AI but then again, definitionally, what qualified for AI or machine learning. Some people seem to have a very shallow concept of this. They are willing to throw buckets of money on anything remotely having anything to do with AI, well hopefully they will be interested in a real machine learning company with real products not just a big data cruncher or a speech to app player.
This is going to be a big problem going forward as more companies jump in with somewhat "MEH" offerings.
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