Output augmenting – Resource KT http://resourcekt.co.uk/ Fri, 11 Jun 2021 08:24:41 +0000 en-US hourly 1 https://wordpress.org/?v=5.7.2 https://resourcekt.co.uk/wp-content/uploads/2021/03/cropped-icon-32x32.png Output augmenting – Resource KT http://resourcekt.co.uk/ 32 32 We don’t know why it’s there, we don’t know what it’s doing – all we know is the button makes everything OK again • The registry https://resourcekt.co.uk/we-dont-know-why-its-there-we-dont-know-what-its-doing-all-we-know-is-the-button-makes-everything-ok-again-the-registry/ Fri, 11 Jun 2021 07:31:00 +0000 https://resourcekt.co.uk/we-dont-know-why-its-there-we-dont-know-what-its-doing-all-we-know-is-the-button-makes-everything-ok-again-the-registry/

On guard An on-call reminder this week that everyone must adore the mysterious beige box with the single doom LED eye, no matter what you think it’s used for.

Our story comes from a regomised reader like “Mike”, an engineer on site. Mike spent the end of the 20th century on the road, rescuing customers in Britain.

Its story takes place in the 1980s, a decade that began with the beginnings of the Rubik’s Cube and ended with the arrival of the World Wide Web.

Users had not yet learned the pleasures of seeking solutions to their problems through a myriad of search engine advertising. Instead, Mike was called in to deal with their complaints.

“I worked for a company providing CAD systems,” he told us. “These systems usually had some sort of 2D plotter for the output, usually pen-based, but sometimes early inkjet technology or even some kind of wet electrostatic system.”

“Which still gives me nightmares,” he added.

The issue in question was with a powerful A1 pen tracer manufactured by Calcomp. Calcomp, for the uninitiated, was all about the plotter (besides other peripherals) and dominated the market in the latter part of the 20th century. It remained a thing until the late 1990s before it went out of business, although the name lives on.

The tracker in question was behaving badly: “Sometimes he refused to work when there were conspiracies in the queue,” Mike said. “I took a look, tested it and found no problems initially.”

It was connected via a serial port. Sometimes a reset of the plotter or the computer was necessary (“a good old DEC VAX 11/750”) to bring the device back to life.

Or sometimes a button flick on the trainer under the floor.

The what?

Mike had never heard of such a device, but the design team insisted it was there. A floor tile was lifted and, of course, nestled among the cables was a beige box with a Calcomp logo, a red LED, and a single “Reset” button. Pressing the button caused the LED to blink and then stabilized.

Mike searched around the rat’s nest, but found nothing abnormal. Instead, he decided to check for faulty cables.

“I traced the serial port cable on the VAX, through a patch panel, under the floor, and down to the plotter, completely avoiding the magic beige box.”

The suddenly redundant trainer simply glared at him, his only red LED glowing in challenge.

“I had and still have no idea what this box did,” he admitted, “other than giving a feeling of satisfaction and a strong placebo effect.”

Our money is on a piece of kit that we no longer need that an engineer couldn’t bother to take out. Or maybe, just maybe, a box to delay the inevitable legend just long enough for the change to change.

What do you think? Let us know in the comments below and share your own experience with mysterious devices that are both critical and completely unnecessary with an email to On Call. ®

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Share, Size, Latest Developments, Trends, Main Key Players and 2025 Outlook – Le Courant Manomet https://resourcekt.co.uk/share-size-latest-developments-trends-main-key-players-and-2025-outlook-le-courant-manomet/ Thu, 10 Jun 2021 03:59:39 +0000 https://resourcekt.co.uk/share-size-latest-developments-trends-main-key-players-and-2025-outlook-le-courant-manomet/

According to the latest IMARC Group report, the global market computer on module Market grew at a CAGR of around 7% during the period 2014-2019. Looking ahead, the market is expected to continue its moderate growth in 2020-2025.

We regularly monitor the direct effect of COVID-19[female[feminine on the market, as well as the indirect influence of associated industries. These observations will be incorporated into the report.

A computer on module (CoM) or system on module (SoM) is a single printed circuit computer integrated into a microprocessor. It consists of random access memory (RAM), Ethernet, input or output (I / O) controllers, flash memory, and other essential components of a fully functional computer. CoM provides an efficient and cost effective platform for IT solutions and reduces the overall manufacturing time of various products. As a result, it is widely used in industrial automation systems, medical electronics, transportation, communication and games.

Get a sample report with a detailed COVID-19 impact analysis – https://www.imarcgroup.com/computer-on-module-market/requestsample

Market trends

The high prevalence of automation trends in various industries, along with the increasing adoption of compact electronic devices, are increasing the demand for CoM. For example, compact CoM systems are used to manufacture drones or unmanned aerial vehicles (UAVs), gaining ground worldwide. CoM also supports faster product development with improved efficiency, durability and interconnectivity, thus experiencing high demand. In addition, several technological advancements have led to the integration of Internet of Things (IoT) with standard CoM cards and application specific support cards, which are further expected to drive market growth.

Buy a full report with a detailed analysis with the impact of COVID-19 – https://www.imarcgroup.com/computer-on-module-market

List of Key Companies Covered By This Market Report:

  • Aaeon Technology Inc. (ASUSTeK Computer Inc.)
  • Advantech Co. Ltd.
  • Axiomtek Co. Ltd.
  • congatec SA
  • Digi International Inc.
  • iWave Systems Technologies Pvt. Ltd.
  • Kontron S&T SA (S&T SA)
  • PHYTEC
  • TechNexion
  • Toradex Systems (India) Pvt. Ltd.

The report has segmented the market on the basis of architecture type, standard, application, and geography.

Breakdown by type of architecture:

  • ARM Architecture (Advanced RISC Machines)
  • X86 architecture
  • Power architecture
  • Other

Breakdown by standard:

  • COM Express
  • SMARC (Intelligent Mobile Architecture)
  • Qseven
  • ETX (Extended Embedded Technology)
  • Other

Breakdown by application:

  • Industrial automation
  • Medical
  • Transport
  • Games
  • Communication
  • Other

Distribution by geography:

  • North America (United States and Canada)
  • Europe (Germany, UK, France, Italy, Spain, Russia and others)
  • Asia-Pacific (China, India, Japan, South Korea, Indonesia, Australia and others)
  • Latin America (Brazil, Mexico)
  • Middle East and Africa

Highlights of the report:

  • Market performance (2014-2019)
  • Market Outlook (2020-2025)
  • Porter’s Five Forces Analysis
  • Market drivers and success factors
  • SWOT analysis
  • Value chain
  • Complete mapping of the competitive landscape

If you need specific information that is not currently within the scope of the report, we can provide it to you as part of the customization.

Related report from the IMARC group:

Marketing Resource Management Market Report: https://www.imarcgroup.com/marketing-resource-management-market

E-Commerce Market Report: https://www.imarcgroup.com/e-commerce-market

Artificial Intelligence in Healthcare Market Report: https://www.imarcgroup.com/artifical-intelligence-healthcare-market

Artificial Intelligence Market Report: https://www.imarcgroup.com/artifical-intelligence-market

Electronic Discovery Market Report: https://www.imarcgroup.com/ediscovery-market

About Us

The IMARC group is a leading market research company providing management strategies and market research worldwide. We partner with clients across industries and regions to identify their most exciting opportunities, address their most critical challenges and transform their businesses.

IMARC’s information products include key business, scientific, economic and technological developments for business leaders in pharmaceutical, industrial and high-tech organizations. Market forecasting and industry analysis for biotechnology, advanced materials, pharmaceuticals, food and beverage, travel and tourism, nanotechnology, and new processing methods are at the top of the market. business expertise.

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Phone number: (D) +91 120 433 0800 Americas: – +1 631 791 1145 | Africa and Europe: – + 44-702-409-7331 | Asia: + 91-120-433-0800, + 91-120-433-0800

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Machine learning through the prism of econometrics https://resourcekt.co.uk/machine-learning-through-the-prism-of-econometrics/ Tue, 08 Jun 2021 09:31:37 +0000 https://resourcekt.co.uk/machine-learning-through-the-prism-of-econometrics/

“Although we can predict house prices accurately, we cannot use such ML models to answer questions such as whether more dining rooms are needed. “

Artificial intelligence has been a force of nature in many areas. Whether it’s increasing health and education advancements or filling the gaps with voice recognition and translating AI, artificial intelligence is becoming more essential for us every day. Sendhil Mullainathan, professor at the Booth School of Business at the University of Chicago, and Jann Spiess, assistant professor at the Stanford Graduate School of Business, observed how machine learning, particularly supervised machine learning, was more empirical than procedural. For example, facial recognition algorithms do not use rigid rules to analyze certain pixel recognitions. Rather, these algorithms use large datasets of photographs to predict what a face looks like. This means that the machine would use the images to estimate a function f (x) that predicts the presence (y) of a face from pixels (x).

Register for the free hands-on workshop: oneAPI IA analysis toolkit

Another discipline that relies heavily on such approaches is econometrics. Econometrics is the application of statistical procedures to economic data to provide empirical analysis of economic relationships. With machine learning being used on data for purposes like forecasting, can empirical economists use ML tools in their work?

New methods for new data

Today, we are seeing a dramatic shift in what constitutes the data within which people can work. Machine learning allows statisticians and analysts to work with data considered too dimensional for standard estimation methods, such as online publications and reviews, images, and linguistic information. Statisticians could hardly examine such types of data for processes such as regression. In a 2016 study, however, the researchers used images from Google Street View to measure block-level income in New York and Boston. In addition, a 2013 research developed a model for using online publications to predict the outcome of hygiene inspections. So, we see how machine learning can augment the way we research today. Let’s look at this in more detail.

Traditional estimation methods, such as ordinary least squares (OLS), are already used to make predictions. So how does ML fit into this? To see this we go back to Sendhil Mullainathan and Jann Spiess’ job– which was written in 2017, when the first was teaching and the second was a doctoral student at Harvard University. The paper took an example, predicting house prices, for which they selected ten thousand owner-occupied houses (randomly selected) from the 2011 American Housing Survey metropolitan sample. They included 150 variables on the house and its location, such as the number of bedrooms. They used several tools (OLS and ML) to predict the values ​​of log units on a separate set of 41,808 dwellings, for out-of-sample testing.

Applying OLS to this will require making specifically organized choices about which variables to include in the regression. Adding all the interactions between variables (eg between base area and number of bedrooms) is not feasible because it would consist of more regressors than data points. ML, however, automatically searches for such interactions. For example, in regression trees, the prediction function would take the form of a tree that would divide at each node, representing a variable. Such methods would allow researchers to construct a class of interactive functions.

One problem here is that a tree with these many interactions would lead to overfitting, that is, it wouldn’t be flexible enough to work with other datasets. This problem can be solved by what is called regularization. In the case of a regression tree, a tree of a certain depth will have to be chosen according to the compromise between a less good fit in the sample and a weaker overfit. This level of regularization will be selected by empirically adjusting the ML algorithm, creating an out-of-sample experiment within the original sample.

Thus, the choice of the ML-based prediction function involves two steps: selecting the best loss minimization function and finding the optimal level of complexity by adjusting it empirically. Trees and their departments are just one example. Mullainathan and Speiss said the technique would work with other ML tools such as neural networks. For their data, they tested this on various other ML methods, including FORESTS and LASSO, and found that they outperformed OLS (depth-adjusted shafts, however, were no more effective than OLS). Traditional OLS). The best prediction performance was seen by a set that ran several separate algorithms (the paper ran LASSO, tree, and forest). Thus, econometrics can guide design choices to help improve the quality of predictions.

There are, of course, a few issues associated with using ML here. The first is the absence of standard errors on the coefficients in ML approaches. Let’s see how this can be a problem: The Mullainathan-Spiess study randomly divided the sample of dwellings into ten equal partitions. After that, they re-estimated the LASSO predictor (with the regularizer kept fixed). The results showed a huge problem: a variable used by the LASSO model in one partition may be unused in another. There were very few stable patterns across the scores.

It doesn’t affect the accuracy of the prediction too much, but it doesn’t help decipher if two variables are highly correlated. In traditional estimation methods, these correlations result in significant standard errors. For this reason, although we can predict house prices accurately, we cannot use such ML models to answer questions such as whether a variable, for example the number of dining rooms, is not important. in this research simply because the LASSO regression did not use it. Regularization also poses problems: it allows the choice of less complex but potentially erroneous models. It could also raise concerns about the biases of the omitted variables.

Finally, it is essential to understand the type of problems ML solves. ML revolves around the prediction of a function y from the variable x. However, many economic applications revolve around the estimation of the parameter β which could underlie the relationship between x and y. ML algorithms are not built for this purpose. The danger here is to take an algorithm constructed for y = ŷ and assume that its value would have the properties associated with the estimate output.

Still, ML improves prediction, so one might benefit by looking for problems with larger consequences (i.e. situations where improved predictions have immense applied value).

One of these categories is one of the new data types (language, images) mentioned above. Analysis of this data involves prediction as a preprocessing step. This is particularly relevant in the presence of missing data on economic performance. For example, a 2016 study trained a neural network to predict local economic outcomes using satellite data in five African countries. Economists can also use such ML methods in political applications. An example provided by the Mullainathan and Spiess article was deciding which teacher to hire. This would involve a prediction task (deciphering the teacher’s added value) and help to make informed decisions. These tools therefore clearly show that AI and ML should not go unnoticed in today’s world.


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An incredibly fast hybrid that can run without gasoline https://resourcekt.co.uk/an-incredibly-fast-hybrid-that-can-run-without-gasoline/ Mon, 07 Jun 2021 19:13:54 +0000 https://resourcekt.co.uk/an-incredibly-fast-hybrid-that-can-run-without-gasoline/

Although significantly heavier than the F8 Tributo, the SF90 more than makes up for the difference with the power-to-weight ratio. Electrical upgrades and all-wheel drive allow for zero to 62 mph in the claimed 2.5 seconds, a top speed of 211 mph, and perhaps more importantly, a Fiorano lap time that’s a hair faster than the mighty. (and powerful) LaFerrari. The chassis, which is an evolution of the foundations of the 488 GTB / F8 Tributo, features aluminum and carbon fiber upgrades for stiffness and NVH reduction.

Return to Stunt Road

Once I’m sure the tires are properly cleaned and warmed up, diving into the throttle propels the SF90 forward with immediate responsiveness and no lag. Between the fast-spinning turbos, the extra gearing of the transmission, and the torque filling of the electric motors increasing all four wheels, the Ferrari manages to overcome all of the perceived acceleration deficiencies of its predecessor with surprising immediacy.

The Ferrari Stradale loaned to me comes equipped with the $ 56,240 Assetto Fiorano package, which adds a layer of fast products, including fixed shocks and titanium springs by Multimatic, a titanium exhaust system and Inconel, a Lexan engine hood and carbon fiber wraps everything from the intake plenum to the hood, bumpers, seat, trunk, spoiler and even the wheels. Yes, it will almost cost you a BMW M2. But considering the added exotic materials, 66-pound weight savings, and increased downforce (859 pounds at 155 mph), I’d say it’s well worth the extra room.

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Second wave to reduce CV volume growth to 23-28% this fiscal year, Auto News, ET Auto https://resourcekt.co.uk/second-wave-to-reduce-cv-volume-growth-to-23-28-this-fiscal-year-auto-news-et-auto/ Mon, 07 Jun 2021 08:48:21 +0000 https://resourcekt.co.uk/second-wave-to-reduce-cv-volume-growth-to-23-28-this-fiscal-year-auto-news-et-auto/
With closures becoming widespread in May, the movement of freight, and therefore the profitability of fleet operators, would remain under pressure, weighing on demand at least in the first quarter, Crisil said in a statement.

New Delhi: Intense second wave of Covid-19 infection and subsequent regional lockdowns will limit domestic commercial vehicle (CV) sales volume growth to 23% to 28% this fiscal year compared to previous projection of 32% at 37% expected before its appearance, the rating agency Crisil said in a report on Monday.

However, the agency expects demand to pick up from the second quarter with an easing of blockages and an acceleration in the pace of vaccinations.

In the previous fiscal year, volume growth had been held back to a ten-year low, in large part due to low freight availability and the impact of the pandemic. According to the rating company, the CV market has seen two consecutive years of sharp declines in volumes of 29% and 21% in 2020 and 2021, respectively, following multiple headwinds such as revised axle standards, the BS-VI transition and the pandemic.

With closures becoming widespread in May, the movement of freight, and therefore the profitability of fleet operators, would remain under pressure, weighing on demand at least in the first quarter, Crisil said in a statement.

He expects, however, that as lockdowns ease from the second quarter onwards, demand and freight rates could normalize, boosting GC demand. Crisil also said that CV manufacturers’ credit metrics are expected to improve as margins increase through better capacity utilization and a better product mix.

Second wave to reduce CV volume growth to 23-28% this fiscal year
According to Hetal Gandhi, director of CRISIL Research, the volume of MHCV, which has been more affected in the last two years, is expected to experience strong growth of 35 to 40% this year, driven by the government’s infrastructure effort and the resumption of economic activity.

She further said light commercial vehicles could grow 15-20% given continued last mile demand from e-commerce, consumer staples and the aftermarket.

“Bus demand – the segment hardest hit due to school closures and lack of demand from public transport companies and businesses – is expected to increase from 67% to 72%, but will remain at its lowest for several years. years. The overall CV volume would still be around 30%. % lower than the level for fiscal 2019, ”Gandhi added.

Crisil noted that OEMs are unlikely to get a boost from the wholesale push as dealer inventories were at fairly high levels of 35-40 days at the end of March (up from normal levels of 25 to 30 days). Inventories had risen sharply in the second half of the year after inventory near zero at the start of the previous year due to the BS-VI transition, he added.

Second wave to reduce CV volume growth to 23-28% this fiscal year
Highlighting a positive factor according to the agency, the growth in revenues relative to volumes will be accelerated this year. A better product mix due to higher sales of more expensive MHCVs compared to light commercial vehicles would boost average achievements, he added.

On the commodity cost front, Crisil said, inflation in raw material costs, especially in the form of steel prices, is expected to be passed on to consumers largely, as is the case. previous fiscal year which saw price increases of 10-15% due to both commodity inflation.

“Higher revenues, coupled with better capacity utilization (~ 38% to ~ 45%) and control over fixed costs, should help CV manufacturers improve their operating margin this year to around 7% “, Naveen Vaidyanathan, associate director, Crisil Ratings, mentioned.

He further mentioned that last year, players achieved an operating margin of 4.4% despite a 10-year low volume due to significant operational improvements and reduced fixed costs.

Second wave to reduce CV volume growth to 23-28% this fiscal year

OUTLOOK

Crisil noted that with improved profitability, investments – sharply reduced last year – are expected to more than double this year to reach normal levels. Nonetheless, higher profitability would stimulate free cash flow generation and help reduce debt. He expects demand to pick up from the second quarter with an easing of blockages and an acceleration in the pace of vaccinations. A third wave of Covid-19 could weaken sentiment further and will also be a key controllable element, the agency stressed.

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CESL pact with Goa and Kerala for more than 30,000 electric 2 and 3 wheelers, Auto News, ET Auto https://resourcekt.co.uk/cesl-pact-with-goa-and-kerala-for-more-than-30000-electric-2-and-3-wheelers-auto-news-et-auto/ Sat, 05 Jun 2021 15:02:21 +0000 https://resourcekt.co.uk/cesl-pact-with-goa-and-kerala-for-more-than-30000-electric-2-and-3-wheelers-auto-news-et-auto/
“We are pleased to collaborate with CESL, and we hope to make electric vehicles accessible, affordable and reliable to as many people as possible soon,” said R Harikumar, Director of the Kerala Government Energy Management Center. .

New Delhi: Convergence Energy Services Limited (CESL), a wholly-owned subsidiary of Energy Efficiency Services Limited (EESL), on June 5, World Environment Day, entered into agreements and memoranda of understanding with governments from Goa and Kerala to buy more than 30,000 electric two and three wheelers.

CESL has also forged strategic relationships with Bharat Electronics Limited (BEL), TVS Motor Company, JBM Renewables Pvt Ltd. and Fortum India. CESL and private companies will jointly undertake the expansion and adoption of the electric vehicle ecosystem, the company said in a press release.

I am very happy to have reached this stage working with the States to deliver two-wheelers and three-wheelers. No better day than today, World Environment Day, to announce our many collaborations. We look forward to the exciting work ahead.Mahua Acharya, Managing Director and CEO, CESL

“Under the agreements, CESL will also invest in setting up the electric vehicle charging infrastructure and monitor asset usage. This customer-oriented approach is designed to offer good ease of use and better accessibility. These agreements will also include the development of operators of charging stations for motorways and motorways. The feasibility of the fleet and charging facilities for customers of all segments of electric vehicles will also be explored as part of the project, ”the statement added.

“We are happy to partner with CESL and look forward to stepping up progress to make Goa a green state,” said Nilesh Cabral, Minister of Energy, Environment, New and Renewable Energies in the Government of Goa.

“We are pleased to collaborate with CESL, and we hope to make electric vehicles accessible, affordable and reliable to as many people as possible soon,” said R Harikumar, Director of the Kerala Government Energy Management Center. .

Ms. Mahua Acharya, CEO and CEO of CESL, said: “I am very happy to have reached this stage working with States to deliver two-wheelers and three-wheelers. No better day than today, World Environment Day, to announce our many collaborations. We look forward to the exciting work ahead.

Nishant Arya, JBM Group Vice President, said: “It is a pleasure to partner with a forward thinking organization like CESL to complement our skills and serve the country.

Manu Saxena, Vice President – Future Mobility and Dealer Transformation, TVS Motor Company, said, “TVS Motor is proud to be the first two-wheeler manufacturer to enter into a Memorandum of Understanding with CESL. We will continue to help drive electricity adoption in India, staying true to the purpose of our brand, TVS IQUBE CHARGE. LIFE.

Awadhesh Jha, Vice President of Fortum Charge and Drive India Pvt Ltd, said, “Our collaboration with CESL is a testament to our goal of driving the adoption of electric vehicles in India. This MoU to jointly develop a charging station in over 4 million Indian cities and support CESL in managing their network using Fortum’s capabilities as a Network Service Provider (NSP) will certainly bring a paradigm shift in the sale and growth of electric vehicles in the country. “

GSN Murthy, Managing Director (Civil Marketing), Bharat Electronics Limited (BEL), said: “Together with CESL, we look forward to making electric vehicles more affordable and accessible to the Indian people and we are closely aligning with the initiatives of the government for clean energy and sustainability. . “

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GST revenues up 65% in May to Rs 1.02 lakh crore, Auto News, ET Auto https://resourcekt.co.uk/gst-revenues-up-65-in-may-to-rs-1-02-lakh-crore-auto-news-et-auto/ Sat, 05 Jun 2021 12:35:22 +0000 https://resourcekt.co.uk/gst-revenues-up-65-in-may-to-rs-1-02-lakh-crore-auto-news-et-auto/
The collection figure topped Rs 1 lakh crore despite most states under strict lockdown due to the pandemic, the ministry said.

New Delhi: The amount of GST revenue remained above the Rs 1 lakh crore mark for the eighth consecutive month in May, at over Rs 1.02 crore. The May 2021 collection is 65 % greater than Rs 62,009 crore of May 2020 Goods and Services Tax (GST) revenue. Last year’s collections were affected as economic activity was affected due to the nationwide lockdown imposed to control the spread of COVID-19.

However, the revenue for May 2021 is lower than the record Rs 1.41 lakh crore GST collected in April 2021.

“Gross GST revenue collected in May 2021 is Rs 1,02,709 crore, including Rs 17,592 crore, SGST Rs 22,653, Rs 53,199 crore (including Rs 26,002 crore collected on import of goods) and Cess is Rs 9,265 crore (including Rs 868 crore levied on the import of goods), ”the finance ministry said in a statement.

The above figure includes the collection of GST on domestic transactions until June 4, as taxpayers have benefited from various relief measures in the form of waiver / reduction of interest on the filing of return delayed for 15 days for the filing of declarations in May due to the second wave of the Covid pandemic, he added.

The collection figure topped Rs 1 lakh crore despite most states under strict lockdown due to the pandemic, the ministry said.

In addition, while taxpayers with turnover above Rs 5 crore had to file their returns before June 4, which they would otherwise have filed before May 20, small taxpayers with lower turnover at Rs 5 crore still have time until the first week of July to deposit. returns without any late fees, and the interest and income of these taxpayers is deferred until then.

“The real incomes for the month of May 2021 would therefore be higher and would be known at the expiration of all the extended dates,” added the ministry.

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India Inc Looks Forward to Lower Repo Rate in Future, Auto News, ET Auto https://resourcekt.co.uk/india-inc-looks-forward-to-lower-repo-rate-in-future-auto-news-et-auto/ Fri, 04 Jun 2021 15:46:22 +0000 https://resourcekt.co.uk/india-inc-looks-forward-to-lower-repo-rate-in-future-auto-news-et-auto/
Commenting on the RBI’s monetary policy announcement, the FICCI Chamber of Industry said the central bank’s consistency and approach to dealing with current challenges both economic and health are commendable.

India Inc said on Friday that it expects the repo rate to drop in the future as the cost of funds is expected to come down in the coming times, and expects the accommodative policy of the Indian Reserve Bank (RBI).

The RBI has decided to leave the benchmark interest rate unchanged at 4%, but has maintained an accommodative stance as the economy grapples with the second wave of COVID-19.

Sanjay Aggarwal, chairman of the PHD Chamber of Commerce and Industry, said the RBI has maintained an accommodating position for as long as needed to revive and support growth on a sustainable basis and to mitigate the impact of COVID-19 , apart from a goal of keeping inflation inside. target.

“We look forward to a possible reduction in pension rates in the future, as the cost of funds is expected to fall in the times to come.

“We expect an accommodative policy to continue, as depressed demand needs to be rejuvenated with increased liquidity for businesses and individuals,” Aggarwal said.

He added that due to the current pace of vaccination and the recovery in demand, the normal growth curve would take time.

Assocham said the RBI’s decision sends an important message from the central bank to reaching out to those most affected by the COVID-19 pandemic, through increased and wider windows for low-rate loans.

“While keeping the benchmark pension rates unchanged at 4% was within the expected lines, extending the special liquidity window of Rs 15,000 crore for contact-intensive sectors would help the more intensive sectors. employment, especially among micro, small and medium enterprises (MSMEs), “It said.

He added that another window of Rs 16,000 crore for MSMEs through SIDBI would allow financial institutions to reach smaller business entities in this difficult hour.

“The RBI’s macroeconomic projections of 9.5% growth and retail sales inflation of 5.1% for fiscal 22 are consistent with the current situation marked by a calibrated opening of the economy, fostered by the increasing penetration of immunization and the consequent increase in rural demand. “said Assocham.

CII said that while keeping key rates unchanged, the RBI’s decision to continue using its unconventional tools to keep yields stable as part of a large government borrowing program helps keep borrowing costs down. content for the private sector.

“Measures such as the provision of a cash-at-source window worth Rs 15,000 crore for contact-intensive sectors, a special liquidity facility to SIDBI for on-lending and refinancing and Extending borrower coverage under Resolution 2.0 should all bring relief to besieged sectors, ”the chamber added.

Commenting on the RBI’s monetary policy announcement, the FICCI Chamber of Industry said the central bank’s consistency and approach to dealing with current challenges both economic and health are commendable.

“The second wave had a debilitating impact and in this hour of need all levers must be pulled to support our MSMEs.

“Support for contact-based services such as hotels / restaurants / tourism / auxiliary aviation services / spas / lounges via the separate Rs 15,000 crore liquidity window should bring some relief to the industry,” he said. he declared.

In this time of crisis, said FICCI, it would urge members of the banking fraternity to redouble their efforts and support the business sector, including MSMEs, in industry and services.

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Carlos Ghosn’s lawyers say part of the French case should be “null and void”, Auto News, ET Auto https://resourcekt.co.uk/carlos-ghosns-lawyers-say-part-of-the-french-case-should-be-null-and-void-auto-news-et-auto/ Fri, 04 Jun 2021 14:43:25 +0000 https://resourcekt.co.uk/carlos-ghosns-lawyers-say-part-of-the-french-case-should-be-null-and-void-auto-news-et-auto/
Ghosn, who has denied any wrongdoing, was chairman of Nissan and Mitsubishi and chief executive of Renault when he was arrested for underreporting his salary and using company funds for personal gain.

BEIRUT: Part of the case examined by French investigating judges who interviewed former fugitive car leader Carlos Ghosn in Beirut this week should be considered invalid, his defense team said on Friday.

French judges have been holding hearings at the Beirut Courthouse since Monday, in a process Ghosn’s lawyers have called a first for justice since his arrest in Japan in 2018.

“We believe on the basis of a legal opinion rendered by an expert that part of the case must be declared null and void since it is tainted with errors committed voluntarily by the Japanese authorities”, declared one of its lawyers to journalists after the hearings.

Ghosn was voluntarily questioned as a witness during the hearings, which deal with allegations of financial misconduct in France.

The architect of the Renault-Nissan automotive alliance has conducted several investigations since his flight from Japan to Lebanon in late 2019 and said he hoped to clear his name in cases of financial misconduct against him.

Ghosn, who has denied any wrongdoing, was chairman of Nissan and Mitsubishi and chief executive of Renault when he was arrested for underreporting his salary and using company funds for personal gain.

He disagrees with Renault over the retirement and severance pay he claims to be owed, and tax authorities have reviewed his tax arrangements.

French magistrates were also pursuing questions about events hosted by Ghosn at the lavish Palace of Versailles, including whether in one case he knowingly used company resources to throw a party for private purposes.

The French prosecution is also investigating financial flows between Renault, its Dutch subsidiary and a car dealership in Oman.

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Will this technological revolution serve sustainability? https://resourcekt.co.uk/will-this-technological-revolution-serve-sustainability/ Thu, 03 Jun 2021 21:00:00 +0000 https://resourcekt.co.uk/will-this-technological-revolution-serve-sustainability/

Silicon Valley leaders tell us that the Fourth Industrial Revolution will bring untold benefits. They say it’s already underway and accelerating, powered by artificial intelligence and other technology, and warn that we’re going to eat dust if we don’t get the program.

It is a generalist revolution. Its leaders and their promoters promise that it will help societies fight climate change, tackle poverty and inequality, and stem the dramatic loss of biodiversity. The revolution could unfold like this. Or maybe not.

Consider the most recent digital revolution, which brought us Google, Facebook and Twitter, and changed the way information travels around the world. At first, the ability to connect with others online, and to create and share digital content seamlessly through ever-evolving virtual social networks, seemed directly beneficial.

But today, the global flow of disinformation enabled by these platforms makes it more difficult to manage the Covid-19 pandemic and the fight against climate change. Few people realized what was going on until it was too late and now we are facing the fallout.

So how can companies minimize the risk of inadvertent, ignorant, or willfully malicious use of the next generation of technology?

My work has increasingly focused on the collision of two worlds. The technosphere understands what humans have created, which is roughly 30 trillion tonnes, or 50 kilograms per square meter of the Earth’s surface. The biosphere is the thin layer clinging to the surface of the Earth where life thrives and where humans have enjoyed a period of 10,000 years of relatively stable climate. I first became interested in the relationship between these worlds while exploring the growth of semi-automated global early warning systems for disease control. It made me appreciate how technology is changing human, organizational and machine behavior.

Sometimes this influence is linear, but more often the effects of technological change are indirect; they move through complex causal networks and only become visible to us after a long time. Social networks are a good example.

The technosphere is everywhere around us. It is fast becoming what is called a “cognitive infrastructure”, with the ability to process information, reason, remember, learn, solve problems and even make decisions with intervention. human resources through increased automation and machine learning.

In terms of evolution, this may turn out to be a giant leap forward, but decisions about the design and direction of the technosphere must reflect social goals and the state of the planet. Building a more sustainable future therefore requires us to rethink certain deeply rooted assumptions about the role of technology, and artificial intelligence in particular.

The greatest imperative may be to expand the mainstream ‘AI for climate change’ discourse. Responsible development and deployment of AI to meet pressing sustainability challenges requires embracing this connection to the living planet and our role in it.

Additionally, framing AI’s contribution in terms of optimization and efficiency is a bad way to think about building the long-term resilience of people and the planet. Resilience – the ability to bounce back from shocks and adapt to changing conditions – requires diversity and redundancy.

Systems optimized to maximize production (say, of a particular crop) are subject to shocks and changing circumstances.

Optimizing farmland for maximum yields using predictive analytics and automation is tempting, but it could accelerate the loss of local ecological knowledge, amplify existing inequalities, and increase reliance on monoculture by response to commercial pressures.

The potential of AI lies in increasing people’s abilities to become stewards of the biosphere, but running intelligent machines to support biosphere stewardship is risky.

The first is the hype. As the pressures on our planet and the climate system increase, so will the hope that AI solutions can help “solve” deeply complex social, economic and environmental challenges.

The second risk is acceleration. According to one estimate, the market for digital services in the fossil fuel sector could grow by 500% over the next five years, saving oil producers around $ 150 billion (4.7 trillion baht) per year. year.

Digitization, automation and AI have untapped potential for both enhancing sustainability and optimizing operations.

To put the Fourth Industrial Revolution at the service of sustainability, we must start to better and harder orient its technologies now.© 2021 Project union


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