NORTHVALE, New Jersey, USA – New Yorker Electronics has released the new Cubisic SLP Series of Flat Pack Electrolytic Capacitors from Exxelia. Considered by Exxelia to be a ‘game changer’, this new radial lead capacitor has twice the capacitance of any other available flat pack on the market in the exact same volume.

With operating temperatures up to 145°C, and resistance to vibrations up to 50g, Exxelia radial leaded aluminum electrolytic capacitors are mostly intended to service aviation electronics, such as in fighter aircraft, missiles, commercial aircraft and radar/laser systems. And, the new Exxelia capacitor series provides more than twice the lifetime.

According to Exxelia, engineers tackling complex designing requirements and looking for an easily integrable product will save space and gain reliability because of improved materials. Because the Cubisic SLP can resist 50G vibrations and withstand 92,000 feet altitude, it is perfectly suitable for filtering and energy storage in cockpits, actuation and power generation functions of commercial and military aircrafts.

This series offers capacitance ranges from 100μF to 68,000μF and voltages from 10V to 450V. It is designed to deliver 5,000 lifetime hours at 85°C and an operating temperature range from -55°C to +85°C. RoHS compliant configurations are also available.

Features & Benefits:

High Reliability – Passed 2000 hr and beyond life tests at +85°C
Very stable at low pressure and 25°C ( 1 torr for 100 hours)
Rapid temperature cycling (100 cycles at -55 and 85°C)
Vibration resistance (2 hours per axis at 30 or 50 g)
Electrical characterization at low and high temperatures (-55 to 85°C)
Applications:

Filtering
Energy storage
With operating temperatures up to 145°C, and resistance to vibrations up to 20g, Exxelia radial leaded aluminum electrolytic capacitors are mostly intended to service aviation electronics. New Yorker Electronics is a franchise distributor of Exxelia Dearborn of the Exxelia Group and supplies its full line of Film, Mica, Tantalum, Aluminum Electrolytics and Ceramic Capacitors as well as its EMI/RFI Filters, Magnetics, Position Sensors, Slip Rings and Rotary Joints.

While there is much to be known, here are the 5 facts that you must know about opting for a loan against property in India :

1. It has more competitive interest rates.

A loan against property is a secure form of a personal loan. Since you have collateral, lenders don’t require a guarantor or repayment capability in terms of credit score. Therefore, you enjoy much lower interest rates as compared to non-secure personal loans.

2. LTV (Loan to value) ratio is a very important factor.

Offering property as collateral is a big risk. Hence, it is essential to ensure that you receive a suitable amount against it. It gets a bit more complicated when you take a loan against your residence or business property for the foreseeable future. The optimal LTV ratio for loan against property in India is 80%; however, the amount may be much lower if you are currently paying EMIs. Lenders may incorporate payables into the calculations and offer small amounts. If the amount is too low, then you should choose one of the other alternatives as the risk is much bigger than the reward in the case of a loan against property.

3. Right amount of loan and EMI is vital.

Most people use it as a personal loan of sorts. They take it for their children’s education, wedding or medical expenses. So, it is mandatory to ensure that it suffices your requirements and is worth the collateral. EMIs can change over a period of time. Floating and fixed interest rates on loan against property can change based on external factors such as stock market, world economics etc. The EMIs should fit in your earnings comfortably enough so that you can repay them easily. Missing EMIs on such loans can be a very expensive mistake. So, estimate your financial situation carefully and choose these two factors at the best of your ability.

4. You may lose collateral (property) if you fail to repay loan.

If you fail to repay this loan, the bank will take the collateral into custody and sell it. So, if you are taking a loan against your residence or business property, your risk is a lot more than just the loss of property. You and your family could lose your home or you could lose your office. It is too big a loss to recover from. Therefore, realistic understandings of these facts are essential before you accept such a big responsibility.

5. Do not ignore the prepayment clause.

Most loans are taken because you cannot accumulate the needed amount in a specified time. For most borrowers though, it is easy to gather the required amount over an extended period of time. So, it makes sense to keep the option of prepaying the loan open. However, most banks do not want you to prepay the loan as they lose their interest for the remaining period. Hence, they levy heavy penalties to discourage you. Therefore, you should take a closer look at that cause too.

Artificial Intelligence (AI) technology is reshaping the way enterprises extract insights from data. The Gartner’s most recent hype cycle report on Types of AI points out that AI is the most favourable CIO technology initiative for the next five years as a source of business transformation.

PwC predicts that by 2030, AI can potentially contribute around $15.7 trillion to the global economy.

Many organizations believe that AI is not just a business enabler, but that it is having fundamental impacts on the function itself. AI is automating some long-standing functions to deliver upon their demand for innovative approaches and greater involvement from the IT departments.

Long story short, AI is a big deal. Various flavors of cognitive capabilities make AI a success. It becomes critical for enterprises and business leaders to understand the types of AI and the impact that it will have on the IT operations and market.

Five types of Artificial Intelligence 1. Machine Learning
In the current scenario, machine learning (ML) is the most relevant and popular subset of AI. The Executive’s Guide to the real-world AI, a recent report by Harvard Business Review Analytic Services, stated that ML has been around for years and has matured into a technology.

ML allows computing devices to self-learn from data and implement those findings without any human intervention. Often when a solution/result is hidden in a huge data set, ML is really very helpful. ML is outstanding at data processing and pattern recognition as it takes a fraction of the time that a manual process would take.

Use Cases
Just to list a few of the ML use cases in the real world, ML is used in fraud detection, portfolio management, and risk analysis for financial services. It is also used for targeted marketing campaigns, GPS-based fleet tracking solutions and travel predictions.

2. Deep Learning
Any computer program that does something smart is powered by AI, which is an umbrella term that holds ML as a subset. Here, Deep learning is a subset of ML that works towards mimicking the human mind really closely.

CompTIA explains that deep learning allows computer programs to process the problems in multiple layers, simulating the human brain analytical capabilities. The deep learning technologies extract the meaning out of information to build context. While, to increase the chances of getting the correct conclusion, deep learning empowers computer applications to understand the various components of the inputs such as text or visual images.

One explanation by deep AI says that this technology learns from processing the labelled data that is provided during the training. To process the labelled data, deep learning uses neural networks (yeh, that’s what they call them). The output of this processing is used to learn the attributes of the input that were required to come to the correct output. As soon as the sufficient number of inputs have been processed as examples, the so-called neural network can start processing new data.