Patent suggests the Surface Pro 8 could be solar powered – Blog – 10 minute

In a nutshell: While we’re spoilt for choice when it comes to mobile computing options these days, the anxiety that arises from a low battery when on the move is very real. You could carry a portable battery pack with you, but Microsoft might have something better in store with the Surface Pro 8: a Type Cover with built-in solar panels.
As reported by Windows Latest, Microsoft first filed a patent with the USPTO for a Surface Pro Type Cover with integrated solar panels back in the second half of 2018, but it was only published on a public platform last week.
The filing shows what looks like a Surface Pro slotted into a “Mobile device cover with integrated solar panel.” There are four panels on the back to capture light and power the Surface Pro, and Microsoft states that any artificial sources of light would be sufficient, meaning it’ll work both indoors and outdoors. Additionally, the cover could charge the device while it’s being used.

The patent adds that more than four solar panels can be integrated into cover, and they could come in any variety, “including monocrystalline solar panels, polycrystalline solar panels, thin-film amorphous silicon solar panels and/or concentrated PV cell solar panels.”
Thanks to the hinged design of the Type Cover, it can be placed at the best angle to catch the light while users work.
Microsoft’s Surface Pro 7 won the ‘Best Productivity’ award in our ‘Best of Tablets’ feature, but there are few changes over the previous-generation model. An optional Type Cover with solar panels could help the Surface Pro 8 shine next to its competitors. But, like all patents, there’s no guarantee this one will ever become a real product, though here’s hoping.

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Tata Mutual Fund launches AI and ML powered ‘Tata Quant Fund’- Tempemail – Blog – 10 minute

This quant fund employs a proprietary quant framework that combine multiple rule engines and predictive models to create investment portfolios that are aimed at maximizing returns during up-trending markets while minimizing losses during down trending phases.
According to Utpal Sarma, Head – Business Analytics, Tata Asset Management, “Actively managed funds benefit from human intelligence that learn, comprehend, and respond to different market challenges in complex manners. Passively managed funds, on the other hand, are rule based and they avoid pitfalls of biases that accompany human judgement. Their strength lies in increased objectivity and elimination of human errors. These traditional styles have contrasting pros and cons. AI and ML adds a third dimension to fund management. They enable machines to mimic human judgement to certain extent while retaining the benefits of disciplined rule-based investing. Investment strategies employing such constructs tend to leverage market opportunities better while avoiding bias errors. Technologies supporting artificial intelligence today is quite evolved and robust. Their wide usage across businesses is testimony of their potential and capability. While quant strategies for wealth management features prominently in advanced markets, its only a matter of time that they gain popularity in India as well,”
AI outperforms marketTata Asset Management has data of more than twenty years, which  is employed by the algorithms. The AI based models have been tested for over 107 months. “We have erred for about twenty percent of the times i.e the market has outperformed us; we have been neck to neck for nineteen percent of the times. It means the market hasnt beaten us significantly however we have significantly beaten the markets in sixty two percent of the times,” informs Sarma, speaking exclusively to EC. The accuracy achieved by the algorithms has been far and wide in the back testing time frame for the 107 months.
The structured data from the last twenty years has brought about the best value creation. They have proved to be very helpful for designing algorithms, which gave the best results, “All the returns that we have been able to generate during the back testing period have come from structured data. The primary source of outperformance is not coming from exotic data structures. It is coming from the ability to develop a good algorithm to do the predictions,” says Sarma. The structured data includes the common macro economic parameters like numbers on GDP, inflation, short and long term interest spreads, credit spreads, exchange rates, international indexes and data on crude prices. The other data includes PE, RoE, EPS growth volatility, dividend yields, basic price momentum adjusted for volatility, etc.
When asked about the critical factors behind the high success rate of the algorithm, Sarma says it has been a judicious mix of the open source technology platform, statistical tools and the talented team of data scientists.
Interestingly, the data which spans across more than twenty years is hosted on the on premise IT infrastructure of Tata Mutual Fund.
Broad and persistent factors of stock returns are used for building rule engines for portfolio creation. Each rule engine uses scoring to create concentrated portfolios with attributes like ‘value’, ‘quality’, ‘momentum’, ‘size’ and couple of combination attributes. Thereafter the ML powered predictive algorithms decide basis prevailing market and macro-economic conditions, portfolio with which attribute is likely to outperform during the next month. The algorithms also predict absolute direction (positive or negative) of return for the next month. Long position in selected portfolio is taken only for months where predicted return is positive. During months where predicted returns are negative, the strategy uses derivatives to hedge the gross long equity position held previously. Tata Quant Fund portfolios are rebalanced monthly for optimal performance at low risks.
The predictive engines use more than past 20 years of market and macro-economic data to analyse hidden relationships and patterns. These correlations along with prevailing market and macro-economic data are then used by the engines for making monthly predictions. Thus, the investment decision making process of the fund is fully machine driven and free of human judgement.
The machine learning predictive models also recalibrate and re-adjust at a fixed periodicity by using new and incremental data. This enables the models to factor in emerging patterns and relationships. These algorithms are developed and managed in-house by a dedicated team of data science specialists.We have come a long way from using a pocket calculator to analyse figures gathered from company reports to using machines which decide which stocks to be picked for investing.
Prathit Bhobe, MD & CEO, Tata Asset Management said, “Machines have massive computational power needed to process very large data sets, spot patterns and correlations, make decisions faster, objectively and without human biases. In the current world, computers are powerful enough to solve problems, a lot of data is available and we strive to use this data in combination with algorithms to its best”.
“Tata Mutual Fund has developed intelligent machine-driven strategies keeping in mind the appetite of long-term equity investors. This framework crunches massive amounts of data, recognises patterns and leverages the power of technology. The future of investing is in the use of quants and with us entering a new decade, we believe that the Indian market is now ready for tech-based investing”, says Sailesh Jain, Fund Manager, Tata Asset Management.
The machine learning predictive models also recalibrate and re-adjust at a fixed periodicity by using new and incremental data. This enables the models to factor in emerging patterns and relationships. These algorithms are developed and managed in-house by a dedicated team of data science specialists. We have come a long way from using a pocket calculator to analyse figures gathered from company reports to using machines which decide which stocks to be picked for investing.
The minimum application amount for this fund is Rs. 5,000/- and in multiples of Re.1/- thereafter and additional investment of Rs 1,000/- and in multiples of Re 1/- thereafter. The fund will be managed by Mr. Sailesh Jain.

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Consumer trust and online business powered by SSL- Tempemail – Blog – 10 minute

For several years now, Secure Sockets Layer (SSL) certificates have been protecting websites and other online assets of companies. So to say, the internet usage started with the ‘www’ era and has now moved to an https era, where users prefer to use a website secured by SSL certificate indicated through https prefix to the domain name rather than www.
If you notice, browsers nowadays have started showing a padlock, instead of an https prefix. This lock symbolizes that the website carries an SSL (Secure Socket Layer) certificate, a standard security protocol, which will make sure that the data you share to this website will not be accessible / intercepted by a third party. SSL protocol is now deprecated due to security concerns making way for a new protocol called Transport Layer Security (TLS). Today the active TLS protocol is TLS 1.2 and newer versions are being developed.
SSL/TLS certificates can be procured online from several online providers. There are various types of SSL certificates available in the market based on the levels of security that the site owner wants to benchmark. But here is the truth – only 0.1 % of the entire Internet world uses SSL. This brings us to the fact that security aspects are often neglected in the real world. Many end-users and organizations have found themselves to have delayed the adoption of SSL due to complexity or price issues which may explain why only a small set of websites on the internet to-date have adopted SSL.
If the e-commerce website or websites you are visiting has no padlock or the URL says “Not Secure”- you may need to read this article to know the real reasons.Why SSL matters today?SSL/TLS is a secure protocol that works on the top of HTTP to provide security. This means that all the data shared on the network will be encrypted and routed using an HTTP connection using SSL/ TLS combination called HTTPS (which you would see when entering a website that has adopted an SSL). Customers have a tradition of trusting businesses only if they find visible security parameters in the real world. Similar tradition and trust factors apply to websites and online e-commerce platforms as well.Today, companies and individuals running their online businesses realize the importance of the extra layer of protection that can make customers and visitors feel secure. People share banking information and card details for making online product purchases, transferring money online or submitting their personal information for availing various benefits and offers. To protect such users and business interests, the General Data Protection Regulations insists to safeguard the contact & identity details of individuals. According to this regulation, even a simple website capturing a visitor’s contact details in the ‘contact us’ page can be vulnerable to data theft. All this shared information could contain personal data along with banking data, which is otherwise not supposed to be leaked out to any third person. The third person here could be a hacker or malicious program that can interject online transactions (without the user or site admin knowing) and steal bits of information.
Before panicking you may take a moment to thank cyber security experts who study these threats and update security features to withstand such attacks by creating SSL/ TLS certificates. Today, there are several SSL certificates available in the market and all you need to do is keep the below mentioned features (which are quite important) in mind before availing them:
– Symmetric 256-bit Encryption– New Powerful 256-bit ECC Keys or Conventional 2048-bit RSA keys– Compatibility with popular web browsers– Compatibility with mobile devices across all popular platforms
Role of Certifying Authority (CA) in securing data transmissionEvery SSL certificate is digitally signed by trusted CA’s. Known as Trusted Root CA store, the SSL certificate issued to any website identifies and authenticates the organization when a customer approaches the website using his browser. Customers can visibly experience trust as their browser identifies this website as compliant, authentic and verified to share information. SSL encrypts all the data shared during transmission over an SSL forged website. This means customer data “in transit” is not accessible to any third party or hackers. Hackers will not be able to access this data or the session as it would appear gibberish even if they tried to.
SSL/ TLS have specific validity term once bought. SSL/TLS certificates are valid for a maximum of 2 years and have to be renewed after that. hey also come with 3 different variants called domain-validated  (DV), organization-validated (OV) and extended-validation (EV) certificates.
– Domain Validated certificate (DV): DV certificates guarantee that the domain name is validated and you are browsing the actual website displayed in the browser’s address bar, thus mitigating man-in-the-middle (MITM) attack.– Organization validated certificate (OV): OV certificate also guarantees the name of the organization which owns the domain name similar to offerings given by a DV certificate.– Extended validation certificate (EV): An EV certificate also guarantees the legal existence of the organization owning the domain name, where the CA will check the legal registries and authorization for such certificates.
Thus, these different types of certificates can promise different levels of security assurances based on business requirement.Role of popular search enginesNow, adding an SSL certificate and switching on HTTPS delivery not only boosts security but helps in getting higher search rankings too. Here is the smart move- search engines encourage websites to be secured and protect their users thereby rewarding them by ranking them. The rankings are done by search engine algorithms using a web crawler or Spider as they are popularly called. The crawlers consider SSL certificate installed on the website as an important component to increase page ranking. SSL, on the other hand, adds mandatory security compliance which is preferred by search engine crawlers helping a website rank better. Better ranking websites attract loyal customers, which is essential for a business to grow.
This way, popular search engine companies are trying their best to enforce algorithm updates and new security norms for fortifying security at the website level. Without any question, we can see that they are trying to bring the real world trust factors by helping online businesses and ecommerce platforms become compliant with security norms. Businesses too are reacting positively to it as they understand its importance to grow and remain competitive.
Show your customers’ that you care about their security To sum up, the competitive advantages of adopting SSL are immense. Fortifying business websites with SSL can help boost traffic and trust levels of the customers. The encryption provided by SSL Certificates can help avert data theft and breach of confidential information. All this simply implies that your business website really needs an SSL Certificate!

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Sony’s PlayStation 4 is powered by a GPU that is roughly equal to what PC graphics card? Trivia – Blog – 10 minute

There is no exact equivalent because Sony worked with AMD to produce a unique APU for the PlayStation 4 that contained a custom Radeon 7970M, which was itself a mobile variant of early 2011’s desktop flagship HD 7970.
Compared to the desktop card, the 7970M ran 125MHz slower, had 12 less GCN cores, half the stream processors as well as less ROPS/texture units, while the PS4’s custom GPU reduced those specs by another 50MHz, 2 GCN cores and other tweaks, not to mention that its RAM is shared between the GPU and CPU.
The full size HD 7970 had 3.79 GFLOPs of compute power, the 7970M dropped that to 2.17 GFLOPs, and the PS4’s GPU cut that again to 1.76 GFLOPs, which is roughly on par with a (then) $250 desktop Radeon HD 7850.
For a more recent PC equivalent, you could take a look at the Radeon R9 280X which we revisited in 2018 and was compared against more modern GPU releases, in the ballpark of a GeForce GTX 1050 which is capable of reasonable 1080p gaming.
Incidentally, the CPU inside the PS4’s APU is comprised of two Jaguar-based quad-core processors (akin to somewhat rare AM1 Athlon SoCs).

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RippleMatch nabs $6M for a diversity-focused graduate recruitment platform powered by AI – gpgmail


LinkedIn, with 645 million users in 200 countries, is the undisputed leader when it comes to being the world’s biggest network of professionals, a position that it uses to leverage products in areas like recruitment and e-learning. But in achieving that size, it hasn’t really developed products for a more targeted approach for specific verticals or audiences. And that has opened the field of a wide variety of startups to fill in the gaps and compete with it. Today, one these hopefuls — a startup called RippleMatch that has built a recruitment platform to help organizations specifically to connect with recent graduates from more diverse backgrounds that match their needs — is announcing a Series A of $6 million to do just that.

The funding — which will be used to expand the platform as well as for business development — is being led by G20 Ventures, with Work-Bench, and previous investors Accomplice, Bullpen Capital, and AlleyCorp. also participating.

The company is not disclosing its valuation but from what I understand is that it’s a “material step up”, as it has been on a steady growth curve and counts companies like Pfizer, TripAdvisor, and Qualtrics among its customer base. This is also the first significant outside money that it has raised. RippleMatch’s very first funding, in fact, was the signing bonus that co-founder Eric Ho had received when he once got a job at Facebook. “It was the need to pay that back that led us to raising this Series A,” joked Andrew Myers, the other co-founder who is also the CEO.

Myers and Ho met and started the company when they were still students at Yale University. Ho was about to graduate, but Myers was still in the thick of his undergrad degree, which he still has yet to complete (and, as is the way of tech founders, may never finish).

The idea for the company came when Myers — who studied history and political science — was thinking about the predicament that a lot of his friends from back home in Colorado were facing in the working world.

Like Myers, they were also undergraduates. But unlike him, they were not at Yale nor any other top-shelf school that has the benefit not only of prestigious name recognition, but typically strong recruiting pipelines to some of the most competitive companies hiring graduates for lucrative entry-level positions.

“I was very cognisant of the divide coming from different socio-economic backgrounds,” Myers said in an interview. “I could see that a lot of my friends from home would be better hires for places than some of the people I knew at Yale. They just didn’t have the same opportunities. We didn’t think of this as a business venture in the early days: it was a problem that our friends had that I wanted to solve.”

Using AI to cut out the recruiter

RippleMatch’s approach is relatively straightforward: the company has built a platform that takes a potential candidate through a relatively quick set of questions about his/her career and geographical ambitions, interests and so on, along with a copy of the candidate’s resume.

It then combines these with basic information about a candidate’s GPA and test scores. Taking all that and combining it with more information sources outside of the candidate’s own input, it comes up with some 300 data points that it crunches that together to match candidates with job and internship opportunities. On the employer side, it not only sources job vacancies of the moment, but also works on matching up an employer’s wider hiring strategy with this trove of people — the idea being that it’s bringing up possibilities that the employer might have otherwise passed over, or even seen to begin with.

Myers says that the matching algorithms, which include the ability to ascertain what people might directly and indirectly be best suited to do, that RippleMatch has built essentially cut out the “middle man” in the process — that is, the recruiter, but also potentially of the relationships and pipelines that may already exist, and as a result level the playing field for everyone, making it just as likely that an employer will discover their next star hire from a small college in the midwest as from Stanford.

As Mike Troiano, the partner at G20 who led the firm’s investment in RippleMatch, describes it, a school’s name recognition and networking prowess aren’t the only things standing in the way of qualified candidates getting a look in the door. His daughter was having a hard time getting a response from a company she contacted for an internship and when they put together her LinkedIn profile, they realised that she simply lacked the professional network to figure out if there was someone to contact and help.

“College hiring is kind of a black box through traditional channels. The surveys RippleMatch uses to collect info from students and employers about who they are and what they want create this proprietary data set,” said Troiano. “LinkedIn is about relationships more than attributes. The college market is a niche they’re ill suited to, and one I think they’ll leave alone for now.”

Indeed, while LinkedIn has proven to be a strong starting point for many professionals in their career progression, its shortcomings are most obvious in more specific examples like these. (It was one reason that LinkedIn made a big push some years ago to start trying to bring younger users on to the platform, to work on ways of getting them to start building up their profiles and networks.)

RippleMatch is part of a growing number of startups that have been identifying and (for their purposes) exploiting these kinds of holes in LinkedIn’s wider platform. Another startup that has been building a platform also aimed at graduates and specifically at trying to help source more diverse pools of candidates is Handshake (which itself raised $40 million less than a year ago).

Handshake takes a different approach in that it offers job boards and proactively works with universities and recruitment organizations and offers users a social network / community of sorts from which to source advice and exchange information. All this has helped boost that company’s database to 14 million people as of last year, likely more now that it’s opened up access to all university students in the US.

Others that have been pecking away at the LinkedIn hegemony include the likes of Triplebyte, another well-capitalised recruitment startup that targets specifically software engineers. The startup has built its own assessment platform (used by RippleMatch to recruit, incidentally) which its CEO and co-founder Harj Taggar also believes can help level the playing field between those who are coming from big-name companies and schools and those who are not, focusing solely on a person’s ability to code. LinkedIn might have millions of profiles of engineers to Triplebyte’s thousands, but the key with the smaller company is that it has profiles of people “who are actively job searching,” which he notes stands in contrast to the unsolicited contacts that many people get on LinkedIn, just by virtue of being there. “We’re getting two times the rate of responses that recruiting teams see on LinkedIn,” Taggar claimed. It’s now ramping up with a premium tier aimed at those recruiting at scale.

RippleMatch is still at a relatively small and early stage of its life in comparison to these two. While it has partnerships with some 1,200 diversity focused organizations on campuses to bring in more candidates, and today some 60% of its candidate pool are from underrepresented backgrounds, the company today only has about 100,000 candidates in total on the platform and agreements with 60 companies who tap RippleMatch to find them. But, at a time when the economic, societal and geographic rifts seem insurmountable in countries like the US, it’s more important than ever to work on ways to help close those gaps, paving the way for a big opportunity for tech-based solutions like RippleMatch’s.


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