Amerindian lands distributed without permission – Toshaos

first_imgMany Indigenous leaders have expressed disdain over the fact that their lands were distributed for mining operations without their knowledge.Many have also vented frustrations over environmental damage, coupled with rampant illegal mining, in their communities, which they said are affecting their livelihoods.These revelations occurred during sessions held on the third day of the National Toshao Council (NTC) Conference, where it was echoed that villagers are met with “disrespect” due to the lack of consultations.Junior Natural Resources Minister Simona BroomesA section of the National Toshaos Conference on WednesdayOne Toshao from Region Eight (Potaro/Siparuni) voiced concern over the large quantity of land being granted for small-scale mining, making special reference to a concession awarded for mining which is due to expire till 2017.“Our land is over 80 per cent covered with medium-scale mining concessions…this (referring to a concession) shall remain enforced until 25th June, 2017,” the Toshao explained.He further noted that other miners are also conducting operations without the necessary documentation; and appealed to the Guyana Geology and Mines Commission (GGMC) to address these matters.“There are miners who working all over, just claiming that, that is their place [with] no documents shown…[the miners] are polluting the waterways which we use actually everyday to go and fish; and it’s filling up the river,” he noted.John Andrew, Tosaho from Micobe Village in Region Eight, said his entire land was “mapped out” for mining, without the council’s permission. He also lamented the disrespectful manner in which villagers are treated.Natural Resources Minister Raphael Trotman was called on to provide explanations as to why leaders were not consulted before the lands were distributed.“Mining our lands and water without permission makes it difficult for us, the Village Council, to oversee that these miners apply best practices,” the Toshao noted.“The residents of Micobe Village are still awaiting an update on an investigation on a map that carries a GGMC logo showing an entire mining block, showing our entire land covered by mining blocks which we are not aware of or never gave permission,” the Indigenous leader revealed.He noted too that leaders should be updated on the findings of a team that recently visited the area on a fact-finding mission.Responding to the myriad of issues raised, Trotman told the Indigenous heads that there would have been additional meetings with the relevant stakeholders to address their concerns.Speaking directly to the Micobe Toshao, the Natural Resources Minister explained that the team that was dispatched to the community is in the process of preparing a report. He stated that while Government is “committed” to addressing the problems that come before it, he cautioned that “solutions may not always be immediate.”One Toshao from Marudi Mountain spoke of the dire impact the extractive sector is having on his community. He pondered the steps which Government will take to reduce the environmental impact by small and illegal miners, an issue which has been plaguing the community for some time.In April, stakeholders approved and signed an agreement aimed at charting the course forward for mining in the Marudi Mountains in Region Nine; this would have likely resolved “the conflict that had escalated between large-scale mining company Romanex, miners, and several communities in South Rupununi,” last year.Late last month, however, many Toshaos in the area revealed that many tenets of the agreement were being violated.Junior Natural Resources Minister Simona Broomes told the Government Information Agency (GINA) that the situation “had worsened” after the agreement was signed.last_img read more

WarriorsHQ: How Kevin Durant fits into Warriors’ ‘spread the wealth’ offense

first_imgWhen the Warriors are at their best is when they don’t play to a script, Golden State beat writer Mark Medina told Dieter Kurtenbach on this week’s episode of the WarriorsHQ podcast.“It’s not even just, OK, take what the defense gives you, find the open man. I think the Warriors are most dangerous when they’re not running set plays. Steve Kerr, for the most part, because of how talented his guys are, wants them to just be able to react and do their thing and that’s where it becomes the …last_img read more

What to look for when scouting for frost damage

first_imgShare Facebook Twitter Google + LinkedIn Pinterest Earlier this week, many parts of Ohio got some mid-May snow and overnight lows below the freezing point. In this week’s DuPont Pioneer Field Report, Account Manager Trent Brisby discusses what to look for when scouting corn and soybean fields for frost damage.last_img

7 Ways Your Business Should Be Using Machine Learning Today

first_imgAI Will Empower Leaders, Not Replace Them AI: How it’s Impacting Surveillance Data Storage Bart Schachter Machine learning has been defined by Stanford University as “the science of getting computers to act without being explicitly programmed.” It’s machine learning that is now behind some of the greatest advancements in technology, driving new industries like autonomous vehicles.From machine learning, a whole new world of concepts has developed, including supervised learning and unsupervised learning, as well as algorithm development to build robots, Internet of Things devices, chatbots, analytics tools, and more. Here are seven ways you can put machine learning to work right now:1. Analyzing Sales DataThe sales function has benefited from the growth in sales-focused data thanks to the increase in digital interaction. Sales teams can tap into metrics from social media platforms, A/B testing, and website visits. Yet with so much data to sift through, sales teams are often bogged down by the time and analysis it takes to pinpoint the necessary insights.Fortunately, machine learning can significantly speed up the process of uncovering the most valuable information. Not only does machine learning do a lot of the heavy lifting in the time-consuming process of reviewing all the sales data, but it can also do much of the analysis for your team. For example, Growbots applies machine learning in order to connect sales teams with the best leads for them. In return, sales teams are able to focus only on those leads that have the greatest potential, accelerating their outbound sales process.2. Real-Time Mobile PersonalizationDigital personalization is becoming a more sought-after process to engage prospects and customers, as well as enhance the overall experience so they regularly return to buy your products or services. This has become particularly important in the mobile environment with the advent of tablets, smartphones, and wearables.Now, mobile marketers and app developers are looking for a way to leverage all the information they can find about each customer’s context so they can develop a highly personalized mobile experience that pleases the consumer and delivers a greater return. Enter machine-learning applications.Flybits is one company that uses machine learning to enable companies to deliver real-time personalization. This context-as-a-service product allows you to have instant cloud access to internal and external data to develop personalized mobile channels.Yet as Facebook’s recent experience has shown, companies that fail to protect consumers’ personal data can expect a backlash. According to Hossein Rahnama, founder and CEO of Flybits, “Flybits promotes data transparency and a proactive approach to privacy. Our enterprise customers want to protect the privacy of their customers, and Flybits makes this easy. First, our customers maintain full control over their data — we do not own it. In addition, we follow Privacy by Design to embed security into our software and use tokenization to anonymize all customer data. Our customers have total control over the opt-in choices that they offer.”3. Fraud DetectionWith consumers’ growing preference for shopping online, criminals have gained an enormous opportunity to commit more fraud. Businesses have employed many types of online security measures but are finding that more are needed. The rise in online transactions also means that many of the measures available to check them make each transaction take longer and slow down the purchase experience — and still often don’t work to stop fraud. The result is increased chargebacks that cost money and impact a brand’s reputation.Luckily, machine learning is available to improve the fraud detection process. For example, PayPal is using machine-learning tools to look for fraudulent transactions (including money laundering) and to help separate these from legitimate transactions. Machine learning assists by examining specific features in a data set and then building models that provide the basis for reviewing every transaction for certain signs it could be fraudulent. This helps stop the fraud in process before the transaction is even completed.4. Product RecommendationsIf you are in the online retail environment, then you know that your customers like having personalized recommendations delivered to them. It improves the shopping experience in their eyes and offers you a way to sell more products. While Amazon was one of the first to introduce an algorithm to improve the product recommendation process, machine-learning tools have ramped up what you can do.As John Bates, senior product manager for data science and predictive marketing solutions at Adobe, observes: “By leveraging machine learning and predictive analytics, brands can look beyond what customers are searching for and start connecting the dots on what they likely want. It’s cross-selling at scale — matching customers to specific products or content that will nudge them towards more conversions and greater lifetime values.”Ecommerce giants like Amazon and Alibaba have already jumped on the machine-learning bandwagon. Amazon has improved upon its own product recommendation process with its artificial neural networks machine-learning algorithm, while Alibaba created the “E-commerce Brain.” Its product recommendation machine-learning mechanism has helped the retailer to significantly raise revenues just by populating billions of personalized product recommendation pages.5. Learning Management SystemsThere is greater understanding of the value of ongoing learning opportunities across all learning segments, including virtual training management software. As a result, the global eLearning market is growing by leaps and bounds. In 2010, it was approximately $32 billion. By 2015, it grew to $107 billion. Now, it is projected to reach $325 billion by 2025.For example, eLearning Industry is an online media and publishing company that was established in 2012 to create a comprehensive knowledge-sharing platform for eLearning professionals. In order to create the most relevant platform for this industry, machine learning became an important differentiating tool. For the tools and platforms that companies create to serve the LMS industry, machine learning is a core competitive advantage because it can generate the most relevant, personalized training management experience possible.Christopher Pappas, founder of eLearning Industry, writes: “What if you could create eLearning content and then let the system take care of the more tedious tasks, such as reviewing charts and statistics to detect hidden patterns? What if you could provide immediate personalized eLearning feedback and steer online learners in the right direction without any human intervention? Machine Learning and Artificial Intelligence have the potential to automate the behind-the-scenes work that requires a significant amount of time and resources. In the future, AI can help you develop and deploy more meaningful eLearning experiences that bridge undisclosed gaps.”6. Dynamic PricingThe travel and retail industries see opportunities to change pricing based on a need or the level of demand. However, incorporating the concept of dynamic pricing can seem impossible across a large enterprise, as there are multiple locations or segments of customers that would need to be taken into account.That’s where machine learning can make the dynamic pricing model work. For example, both Uber and Airbnb use machine learning to help create dynamic prices for each user on the fly. Plus, Uber uses it to minimize wait time and optimize the ride-sharing aspect of its services. Uber can temporarily change pricing in that area to gain a higher revenue stream. Also, it can reduce rates where demand is much lower.Machine learning can utilize existing data to predict where demand may occur. In addition, if online companies or app developers can determine where a visitor’s country or city of origin, then they can charge a price based on what that person is comfortable paying in his or her home location.7. Natural Language ProcessingThere are so many functions where it would be great to have a stand-in to take care of tedious tasks. These include tech support, help desks, customer service, and many others. Thanks to machine learning’s capability for natural language processing (NLP), computers can take over. That’s because NLP provides an automated translation method between computer and human languages. Machine learning focuses on word choices, context, meaning, slang, jargon, and other subtle nuances within human language. As a result, it becomes “more human” in its responses.Using this capability, chatbots can step in and serve as communicators in place of humans for various roles. In addition, NLP applies to situations where there is complex information to dissect, including contracts and research reports.As these examples show, machine learning is ready to step in and make many business areas more efficient, effective, and profitable. The time to implement the technology of tomorrow is today. A Web Developer’s New Best Friend is the AI Wai… China and America want the AI Prize Title: Who … Tags:#AI#AI Machine Learning#Machine Learning Bart Schachter is an investor, operator, and tech affectionado, with a passion for business operations, team building, product design, finance, and deal making. Bart has been an entrepreneur, VC, corporate executive, and turn-around operator. He lives in San Francisco and all his view are his own. Related Posts last_img read more

EAC’s Laminou out for the NCAA season due to torn ACL

first_imgHamadou Laminou. Photo by Tristan Tamayo/INQUIRER.netEmilio Aguinaldo College’s drive to the Final Four gets a little more bumpy as big man Hamadou Laminou suffered a torn ACL on his right knee and will miss the remainder of the NCAA Season 93 men’s basketball tournament.Coach Ariel Sison, who confirmed the news Thursday, was left with no words as the Generals will have a huge hole in the middle with the absence of the Cameroonian big man.ADVERTISEMENT LATEST STORIES “I don’t know what to say right now. I’m just so down thinking that Laminou is out for the season,” he said.Laminou has been averaging 10.2 points, 8.4 rebounds, and 2.4 blocks in the five games he played this season.FEATURED STORIESSPORTSWATCH: Drones light up sky in final leg of SEA Games torch runSPORTSSEA Games: Philippines picks up 1st win in men’s water poloSPORTSMalditas save PH from shutoutHe went down late in the first quarter of EAC’s 85-79 win over Arellano on Tuesday with a knee injury as the coaching staff downplayed the matter and hoped that it would only be a minor injury.“I thought it’s just another minor injury,” said Sison, obviously disappointed with the recent turn of events. For the complete collegiate sports coverage including scores, schedules and stories, visit Inquirer Varsity. Don’t miss out on the latest news and information. Jason Day ‘hungry,’ eager to return to top of golf world MOST READ K-pop star Jung Joon-young convicted of gang rape, spycam crimes Catriona Gray spends Thanksgiving by preparing meals for people with illnesses SEA Games in Calabarzon safe, secure – Solcom chief UPLB exempted from SEA Games class suspension LOOK: Venues for 2019 SEA Games View comments Read Next WATCH: Streetboys show off slick dance moves in Vhong Navarro’s wedding Typhoon Kammuri accelerates, gains strength en route to PH Trump talks impeachment while meeting NCAA athletes PLAY LIST 01:07Trump talks impeachment while meeting NCAA athletes02:05NCAA Season 93 Preview: EAC Generals00:50Trending Articles01:37Protesters burn down Iran consulate in Najaf01:47Panelo casts doubts on Robredo’s drug war ‘discoveries’01:29Police teams find crossbows, bows in HK university01:35Panelo suggests discounted SEA Games tickets for students02:49Robredo: True leaders perform well despite having ‘uninspiring’ boss02:42PH underwater hockey team aims to make waves in SEA Games Brace for potentially devastating typhoon approaching PH – NDRRMC Laminou also incurred an MCL injury on his left knee in the preseason, but was able to make it in time for the Generals’ campaign this year.Sison has no other recourse but to continue fighting behind senior Sidney Onwubere, Jerome Garcia, Juju Bautista, and Francis Munsayac with EAC currently in third place with a 3-2 card.“Laminou is Laminou. It’s still different if he’s on the bench and ready to play, but we have other bigs who are ready to step up,” the mentor said.The Generals will play league leader Lyceum today at EAC Gym.ADVERTISEMENTlast_img read more

7 days ago​Solskjaer insists Man Utd right to sell Alexis, Lukaku

first_imgTagsTransfersAbout the authorAnsser SadiqShare the loveHave your say ​Solskjaer insists Man Utd right to sell Alexis, Lukakuby Ansser Sadiq7 days agoSend to a friendShare the loveOle Gunnar Solskjaer is sticking by the decision to sell Romelu Lukaku and loan out Alexis Sanchez.The Red Devils manager is under increased scrutiny after his side made a poor start to the season.Their biggest problem is a lack of goals, but Solskjaer does not regret letting two experienced attackers leave in the summer transfer window.Speaking about those departures in an interview with Gary Neville, Solskjaer said: “In one-off games, you think we could’ve had a number of extra players with experience. “Alexis and Rom are goalscorers and good players, but at the moment, we made those decisions and they were the right decisions.”That’s the only way you’ve got to look at it. All the players here want to give everything for the club and for the shirt – that’s a big thing.”Every day that they come in training, and every day that they put the shirt on, they’re going to give everything that they have. So you can’t really say, ‘oh I wish I didn’t do that’.”Giving a couple of the lads the chance to show themselves, maybe it was a little bit too early for a few of them. But Mason Greenwood has stepped in and scored a couple in the midweek games, so it’s a great experience for them.”We know we haven’t had the results that we wanted, but I wouldn’t have kept the players we sold. It was the right decision.” last_img read more

Beside The Points For Monday April 23 2018

Things That Caught My EyeSeattle to earn more frequent flyer milesThe Seattle Seahawks, by virtue of playing in a city that is very far away from other cities that host NFL teams, spend a lot of time on planes. Once every four years, they get a reprieve and get to play in Oakland, a place only 801 miles away. This year the NFL scheduled that advantage away, as Seattle will play Oakland 4,789 miles away in one of the London games. [ESPN]Detroit isn’t as bad off as it seemsEvery year, people talk about a strength of team’s schedule, and every year they tend to use the one thing that isn’t super predictive of future results, namely total wins and losses. Football is fluky, and a team’s win percentage is often no indicator of how a team will do in a subsequent year. What is helpful is looking at Pythagorean wins, which looks at how a team with a given points scored and allowed would be expected to perform as. Ranking strength of schedule by that, a team like Detroit — which has the second hardest schedule according to wins — can breathe easier, as they’d be more in the middle of the pack, with the 15th hardest schedule. [FiveThirtyEight]Pine tar seems like a bigger problem?Gerrit Cole’s spin rate on a fastball jumped from 2,163 rpm last year to 2,332 rpm this season, a jump that Trevor Bauer of the Indians suggested may have been due to the use of pine tar. Several years ago a particularly brazen use of pine tar — which can aid in grip and control of the ball and is super illegal — got Michael Pineda ejected from a game. How widespread this practice is is unclear, but pitchers and managers reportedly seem to tolerate it because many people regardless of club are using it. [ESPN]Try out our interactive, Which World Cup Team Should You Root For?Shady way of doing businessWe are several weeks into baseball, which means that finally top-tier talent that was forced to marinate in the minors for an arbitrary two weeks in order to defer free agency for another year is being brought up to the big leagues. The CBA gives teams control over a player for 4 or 5 minor league seasons, then six full major league seasons. Operative word being full; if you force a rookie to spend a few weeks in the minors and then bring him up, teams can defer free agency for an additional year. [The Ringer]Don’t call it a tankThe Miami Marlins, which FiveThirtyEight forecasts will have an estimated 60 wins at the end of this season (the lowest in the league), are in part owned by Derek Jeter, who oversaw a roster wipe. Confronted about this by HBO’s Bryant Gumbel, Jeter vehemently denied that the tank was on and that he truly expects the team to contend this year. [Miami Herald]Browns attempt to defy historySince 1950, the Browns have drafted 49 quarterbacks. Of those, eight were in the first round. Only one of those eight was a successful pick, Bernie Kosar, who led the Browns to three AFC championship games. In their whole history, they’ve had 55 different starting quarterbacks, of whom only 11 started in a playoff game, and only 2 since 1993. Let’s see what they do with their No. 1 pick. [ESPN]Big Number(s)21 pitchesCongratulations to San Francisco Giants first baseman Brandon Belt and condolences to viewers of a baseball game he played in! Belt has the record for most pitches in a single at bat, with 21 pitches. The at bat lasted 12 minutes and 45 seconds. [ESPN]Leaks from Slack: neil:That has to be one of the least likely no-hitters ever(at least based on the opponent)chris.herring:I’m just seeing the highlights of the no-hitter! Thats so shady! The error they called def shouldve been a hit! Predictions NBA See more NBA predictions Oh, and don’t forgetA successful no no nearly killed this man We’re launching a sports newsletter. 🏆  Join the squad. Subscribe All newsletters read more

Barca to use Coutinho tactics for Pogba

first_imgBarcelona are planning to employ the same tactics used to sign Phillipe Coutinho from Liverpool for Manchester United’s Paul Pogba, according to BristolLive.The midfielder has had a frosty relationship with Manchester United manager Jose Mourinho which he led to him being dropped to the bench for their second UEFA Champions League clash against Sevilla last season over both legs.Pogba is reportedly keen to leave the club after Jose Mourinho also criticized him after winning the World Cup.ole gunnar solskjaer, manchester unitedReport: Up to seven first team players out for United George Patchias – September 13, 2019 Manchester United have some serious injury problems with up to seven first-team players out.This Saturday, United have a Premier League clash with Leicester City….Barcelona are currently odds on favorite to sign Pogba ahead of Juventus and Paris Saint-Germain and the Spanish champions are planning to use the same strategy they employed with Phillipe Coutinho last summer for Pogba.Manchester United have no interest in selling their star player but Barca are prepared to wait till January to get their man as they did with Liverpool and Coutinho last season.The Catalan club have already signed Arturo Vidal from Bayern Munich but are keen to bolster their midfield options with the addition of Pogba as they look to mount an all-out offensive on the UEFA Champions League.last_img read more