Category Archives: Uncategorized

84% Of All S&P500 Assets Are Now Intangible

Source: ZeroHedge, Sep 2020

Easily-Triggered People Make Terrible Employees

Source: ZeroHedge, Jul 2020

Dr. Jeremy Berneth, Associate Professor of Management at San Diego State University, asked 395 employees at seven US colleges what they thought about certain events receiving “substantial media attention” – including “17 items developed to assess the proclivity to be offended, eight moral outrage items, 11 microagression items and nine political correctness items.”

The study found that easily triggered people are less productive, are prone to view their organizations as “less fair,” and “consume a lot of time complaining about trivial matters.

“The person offended by everyday occurrences diverts important and limited cognitive resources away from the client (and potential sale) towards a task-irrelevant stimuli.”

They also make terrible team players.

CAD Visualization Tool to Interactively Design Products

Source: MIT News, Aug 2018

In a paper presented at this week’s SIGGRAPH conference, researchers from the Computer Science and Artificial Intelligence Laboratory (CSAIL) describe a visualization tool for CAD that, for the first time, lets users instead interactively explore all designs that best fit multiple, often-conflicting performance tradeoffs, in real time.

The tool first calculates optimal designs for three performance objectives in a precomputation step. It then maps all those designs as color-coded patches on a triangular graph. Users can move a cursor in and around the patches to prioritize one performance objective or another. As the cursor moves, 3-D designs appear that are optimized for that exact spot on the graph.

“Now you can explore the landscape of multiple performance compromises efficiently and interactively, which is something that didn’t exist before,” says Adriana Schulz, a CSAIL postdoc and first author on the paper.

The researchers’ tool, instead, rapidly finds the entire Pareto front and turns it into an interactive map. Inputted into the model is a product with design parameters, and information about how those parameters correspond to specific performance objectives.

The model first quickly uncovers one design on the Pareto front. Then, it uses some approximation calculations to discover tiny variations in that design. After doing that a few times, it captures all designs on the Pareto front. Those designs are mapped as colored patches on a triangular graph, where each patch represents one Pareto-optimal design, surrounded by its slight variations. Each edge of the graph is labeled with a separate performance objective based on the input data.

Related Resource: MIT Tech Review, Jun 2020

Adriana Schulz’s computer-based design tools let average users and engineers alike use graphical drag-and-drop interfaces to create functional, complex objects as diverse as robots and birdhouses without having to understand their underlying mechanics, geometries, or materials.

 

MIT Internet addresses Sold for About $10/address

Source: Internet Society.org blog, May 2017

Last month (as of May 2017), Massachusetts Institute of Technology (MIT) announced that they will be selling at least 8 million IPv4 addresses from their unused 14 million.

With the current price of IPv4 averaging around $10/address, they are likely to get a huge sum after selling these unused blocks; they’ve stated they want to support activities focused on the future of the Internet (like financing their IPv6 network upgrade) and the global cyber-infrastructure with this amount.

We saw the transfers of approximately 2.7 million IPv4 addresses last month. It wasn’t a single /11 or /12, but 26 different IPv4 address blocks between /14 and /16.

LCS = Laboratory for Computer Science @ MIT

Related Resource: Reddit, date indeterminate

Top 3 Crypto-Exchanges

Source: Medium, Apr 2020

Binance: 23 million monthly visits

Coinbase: 22 million monthly visits

Kraken: 4 million monthly visits

Asian American Discrimination by Harvard Admissions

Source: Duke University, Apr 2020

there is a substantial penalty against Asian Americans in admissions with limited  scope for omitted variables to overturn the result. This is because

(i) Asian Americans are substantially stronger than whites on the observables associated with admissions and

(ii) the richness of the data yields a model that predicts admissions extremely well. Our preferred model shows that Asian Americans would be admitted at a rate 19% higher absent this penalty.

Controlling for one of the primary channels through which Asian American applicants are discriminated against—the personal rating—cuts the Asian American penalty by less than half, still leaving a substantial penalty.

Heroic Home Isolation!

Source: Powerline blog, Apr 2020

Wofram – The Universe is a Hypergraph

Source: ScienceNews, Apr 2020

Physicist–computer scientist–entrepreneur Stephen Wolfram believes the universe is a vast, growing network of relationships that constitutes space itself, and everything within it. In this picture, Wolfram sees the basis for the ultimate theory underlying all of physical law.

“I’m thrilled to say,” he writes in a summary document released April 14, “that I think we’ve found a path to the fundamental theory of physics.”

Online education platforms could scale high-quality STEM education for universities

Source: Phys.org, Apr 2020

Online and blended (online and in-person) STEM instruction can produce the same learning outcomes for students as traditional, in-person classes at a fraction of the cost, finds research published today in Science Advances.

The students were randomly divided into the three cohorts and received identical lessons and assignments via one of three delivery modalities:

  • 1) in-person lectures and discussion sections
  • 2) a blend of online and in-person instruction, and
  • 3) fully online instruction.

Students in all three modalities had similar scores on final exams.

Students in fully online modality scored higher on course assignments but reported slightly lower satisfaction than students in the in-person modality.

Furthermore, the online and blended modes of instruction cost significantly less per-student than traditional, in- person instruction.

Blended instruction lowered the cost of per-student instruction by 15-19% depending on the course; online instruction lowered the cost of per-student instruction by 79- 81% depending on the course.

“This is the strongest evidence to date that an average college student can learn just as much from a course online as on campus or with blended learning,” says Cornell professor of information science and study co-author Rene Kizilcec.

The fact that students find online learning less satisfying doesn’t mean it is less effective. That’s why we shouldn’t rely too much on student surveys like teaching evaluations to judge the quality of instruction, especially in a time of crisis when the transition to online learning is unplanned.

In this study, we only used basic online course materials to match the in-person content, but prior research shows that interactive and social online activities with immediate feedback could have produced even larger learning gains.”

Wash Your Hands!

Source: Economist, Mar 2020