Ganesh Swami

I’m now a proud owner of an Apple iPhone 3G. There are tons of reviews out there that you can lookup, but here’s mine with the purpose of getting-shit-done:

Pros:

• The easiest phone on the planet. This has got to be one of the most usable devices I’ve ever used. Everything from looking up contacts, syncing, WiFi is so easy.
• Native syncing with Exchange. Hate duplicate copies of my contacts.
• Inbuilt music player.
• Seamless integration with my Mac.
• Volume controls as physical buttons on the outside unlike the iPod Touch.

Cons:

• The touch screen is “cool” for a few minutes but not usable. I regularly lookup information on my phone while driving — this practice will now have to stop.
• Web browsing on the phone isn’t even marginally useful for me.
• GPS isn’t very good. That’s OK because I got a real GPS unit.
• 50% battery charge in two days. Wow. In a year, I’ll need to keep the phone plugged in at all times.
• Sluggish. Skips music when syncing contacts.
• The alarm module is less useful than my 4 year Nokia phone.

I’m taking just one course this semester — a special topics course on Computational Anatomy and Medical Image Analysis. The course is highly focused on the research interests of my supervisor, so instead of sitting beside each other in the lab, we go to another class room and sit beside each other.

Computational Anatomy is “the use of mathematical analysis to learn how tissues grow, assume new shapes and morph into mature structures.” The first few classes are review of the pre-requisites – linear systems theory and stochastic systems. Having not taken either of these courses, I’m seeing plenty of new material. A lot of it is intuitive, some of it not obvious at all. Overall a Good Thing.

I don’t have a copy of the outline yet, but some of the topics we are going to cover are vector space theory, variational calculus, differential and riemannian geometry, tensor analysis and applications in Computational Anatomy. An example of an application is what I’ve just finished writing — linear statistical analysis to classify the hippocampus in dementia of the Alzheimer’s type.

I’ll be posting about things that I find interesting here. If you’re in the class and want to follow along, a quick way to do so if by bookmarking the tag: ensc462.

Amazing set of screenshots from the palantir blog.

Palantir is building an enterprise platform for analysis of financial and intelligence data. Analysts at government agencies across investigative and intelligence realms are experiencing tremendous analytical challenges managing the tidal wave of information that flows across their desks and throughout their knowledge networks. Palantir Government provides a new way of exploring, understanding, and sharing these large sets of structured and unstructured information across departmental and organizational lines. Similarly, Palantir Financial is a powerful new analytical platform for approaching and understanding financial markets. For decades, traders and economists have struggled with conventional financial and statistical software to explore the financial world. With Palantir, analysts directly explore and manipulate dynamic financial concepts. Properties and connections amongst a vast array of time series, time periods, macroeconomic trends and events, and exotic hedge fund strategies can be discovered, published and shared, unlocking organizational knowledge.