Local Jordanian company Tamatem Games vaccinates all of its employees

AMMAN — Tamatem Games, a major mobile games publisher in the Middle East, vaccinated all of its 75 employees this week. Tamatem is a local Jordanian mobile publishing company that has been growing exponentially in recent years despite the current economic downturn. Tamatem places the health and well-being of its employees at the forefront and is adamant about creating an excellent work environment for its team. With that, the company is eager to move forward towards a better and brighter future by creating job opportunities for the Jordanian youth. 

“It is vital for us to keep on pushing forward during these uncertain and difficult times. Our region has been going through an economic and political downturn so it is important for organisations and companies alike to remain hopeful and take any step, no matter how small, towards a better and healthier future,” said Hussam Hammo, CEO of Tamatem Games. 

Article By Jordan Times

Deep Science: AI simulates economies and predicts which startups receive funding

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column aims to collect some of the most relevant recent discoveries and papers — particularly in, but not limited to, artificial intelligence — and explain why they matter.

This week in AI, scientists conducted a fascinating experiment to predict how “market-driven” platforms like food delivery and ride-hailing businesses affect the overall economy when they’re optimized for different objectives, like maximizing revenue. Elsewhere, demonstrating the versatility of AI, a team hailing from ETH Zurich developed a system that can read tree heights from satellite images, while a separate group of researchers tested a system to predict a startup’s success from public web data.

The market-driven platform work builds on Salesforce’s AI Economist, an open source research environment for understanding how AI could improve economic policy. In fact, some of the researchers behind the AI Economist were involved in the new work, which was detailed in a study originally published in March.

As the coauthors explained to TechCrunch via email, the goal was to investigate two-sided marketplaces like Amazon, DoorDash, Uber and TaskRabbit that enjoy larger market power due to surging demand and supply. Using reinforcement learning — a type of AI system that learns to solve a multi-level problem by trial and error — the researchers trained a system to understand the impact of interactions between platforms (e.g., Lyft) and consumers (e.g., riders).

“We use reinforcement learning to reason about how a platform would operate under different design objectives … [Our] simulator enables evaluating reinforcement learning policies in diverse settings under different objectives and model assumptions,” the coauthors told TechCrunch via email. “We explored a total of 15 different market settings — i.e., a combination of market structure, buyer knowledge about sellers, [economic] shock intensity and design objective.”

Using their AI system, the researchers arrived at the conclusion that a platform designed to maximize revenue tends to raise fees and extract more profits from buyers and sellers during economic shocks at the expense of social welfare. When platform fees are fixed (e.g., due to regulation), they found a platform’s revenue-maximizing incentive generally aligns with the welfare considerations of the overall economy.

The findings might not be Earth-shattering, but the coauthors believe the system — which they plan to open source — could provide a foundation for either a business or policymaker to analyze a platform economy under different conditions, designs and regulatory considerations. “We adopt reinforcement learning as a methodology to describe strategic operations of platform businesses that optimize their pricing and matching in response to changes in the environment, either the economic shock or some regulation” they added. “This may give new insights about platform economies that go beyond this work or those that can be generated analytically.”

Turning our attention from platform businesses to the venture capital that fuels them, researchers hailing from Skopai, a startup that uses AI to characterize companies based on criteria like technology, market and finances, claims to be able to predict the ability of a startup to attract investments using publicly available data. Relying on data from startup websites, social media, and company registries, the coauthors say that they can obtain prediction results “comparable to the ones making also use of structured data available in private databases.”

Applying AI to due diligence is nothing new. Correlation Ventures, EQT Ventures and Signalfire are among the firms currently using algorithms to inform their investments. Gartner predicts that 75% of VCs will use AI to make investment decisions by 2025, up from less than 5% today. But while some see the value in the technology, dangers lurk beneath the surface. In 2020, Harvard Business Review (HBR) found that an investment algorithm outperformed novice investors but exhibited biases, for example frequently selecting white and male entrepreneurs. HBR noted that this reflects the real world, highlighting AI’s tendency to amplify existing prejudices.

In more encouraging news, scientists at MIT, alongside researchers at Cornell and Microsoft, claim to have developed a computer vision algorithm — STEGO — that can identify images down to the individual pixel. While this might not sound significant, it’s a vast improvement over the conventional method of “teaching” an algorithm to spot and classify objects in pictures and videos.

Traditionally, computer vision algorithms learn to recognize objects (e.g., trees, cars, tumors, etc.) by being shown many examples of the objects that have been labeled by humans. STEGO does away with this time-consuming, labor-intensive workflow by instead applying a class label to each pixel in the image. The system isn’t perfect — it sometimes confuses grits with pasta, for example — but STEGO can successfully segment out things like roads, people and street signs, the researchers say.

On the topic of object recognition, it appears we’re approaching the day when academic work like DALL-E 2, OpenAI’s image-generating system, becomes productized. New research out of Columbia University shows a system called Opal that’s designed to create featured images for news stories from text descriptions, guiding users through the process with visual prompts.

When they tested it with a group of users, the researchers said that those who tried Opal were “more efficient” at creating featured images for articles, creating over two times more “usable” results than users without. It’s not difficult to imagine a tool like Opal eventually making its way into content management systems like WordPress, perhaps as a plugin or extension.

“Given an article text, Opal guides users through a structured search for visual concepts and provides pipelines allowing users to illustrate based on an article’s tone, subjects and intended illustration style,” the coauthors wrote. “[Opal] generates diverse sets of editorial illustrations, graphic assets and concept ideas.”

Article By Kyle Wiggers
Tech Crunch

Tamatem launches lounge games for Royal Jordanian

AMMAN — Tamatem Games, a Jordan- based leading mobile games publisher in the region, has officially launched a full gaming experience with Royal Jordanian, according to a statement from the company.

Arcade machines, charging stations and gaming tablets are now available at the RJ Crown Lounge for the enjoyment of travellers, the statement said.

Tamatem Games and Royal Jordanian signed a partnership deal earlier this month to provide in-flight entertainment and an enhanced travel experience for passengers. “We are immensely excited and proud of this fully local partnership! More companies and organisations alike should look towards promoting local businesses with the goal of growing together and not apart. We are very happy to play a small part in entertaining and enhancing the travel experience of all RJ flyers,” CEO and founder of Tamatem Games Hussam Hammo said in the statement.

Since its launch in 2013, Tamatem Games leveraged over 150 million game downloads, published over 50 games, and grew to 100 employees with the goal of entertaining the region with Arabic mobile games, the statement said.

Article By Vista Sahafi

Tamatem Games Enhances the Royal Jordanian Flight Experience

AMMAN — Tamatem Games has officially launched a full gaming experience with Royal Jordanian! Arcade machines, charging stations, and gaming tablets are now available at the RJ Crown Lounge for the enjoyment of travelers!

The region’s leading mobile games publisher and Royal Jordanian signed a partnership deal earlier this month to provide in-flight entertainment and an enhanced travel experience for passengers. “We are immensely excited and proud of this fully local partnership! More companies and organizations alike should look towards promoting local businesses with the goal of growing together and not apart. We are very happy to play a small part in entertaining and enhancing the travel experience of all RJ flyers”  CEO & Founder of Tamatem Games, Hussam Hammo

Tamatem Games is the region’s leading mobile games publisher. Since its launch in 2013, it leveraged over 150 million game downloads, published over 50 games, and grew to 100 employees with the goal of entertaining the region with Arabic mobile games.

Article By Jordan Times

Royal Jordanian Launches In-Flight Games

Royal Jordanian and Tamatem Inc., a Jordanian based leading mobile games publisher in the region, sealed a contract to launch in-flight games on RJ flights, aiming to enhance passengers’ experience onboard.

RJ Vice Chairman/CEO Samer Majali and Tamatem founder/CEO Hussam Hammo signed the agreement, whereby Tamatem will integrate several games on RJ’s wireless inflight entertainment system – SkyConnect, and set up arcade machines, tablets, and charging stations in the Crown Lounge at Queen Alia International Airport.

Majali expressed satisfaction with such partnerships, through which RJ both exercises its corporate social responsibility by lending support to pioneering Jordanian companies as well as takes part in the scalability of innovative Jordanian companies.

Royal Jordanian will celebrate its 59th year in December 2022, as the national carrier of Jordan was launched by His Majesty King Hussein in 1963 and has since been an ambassador of goodwill and friendship to other cultures, and a bridge that facilitates tourism and trade with the world.

Majali announced earlier that the company aims to implement a five-year plan that entails gradually modernizing the fleet of medium- and short-haul aircraft and expanding the fleet from today’s 24 aircraft to around 40. The plan also includes expanding the airline’s network from 35 to 60 destinations, to be determined by passengers’ demand.

Article By Ozgur Tore

Royal Jordanian and Tamatem sign agreement to provide in-flight and lounge gaming experience for passengers

On 5 January 2022, Royal Jordanian and Tamatem Inc., a Jordanian based leading mobile games publisher in the region, sealed a contract to launch in-flight games on RJ flights, aiming to enhance passengers’ experience onboard.

Article By Royal Jordanian

Royal Jordanian to launch inflight and lounge gaming in partnership with Tamatem

Royal Jordanian (RJ) signed (05-Jan-2022) an agreement with Jordanian mobile games publisher Tamatem to launch inflight gaming products on RJ flights. Under the agreement Tamatem will integrate several games on the carrier’s wireless inflight entertainment system, in addition to installing arcade machines, tablets and charging stations at the Amman Queen Alia International Airport Crown Lounge. [more – original PR]

Article By CAPA

Royal Jordanian, Tamatem sign agreement to provide in-flight, lounge games

RJ both exercises its corporate social responsibility by lending support to pioneering Jordanian companies as well as takes part in the scalability of innovative Jordanian companies

Royal Jordanian and Tamatem Inc., a Jordanian based leading mobile games publisher in the region, sealed a contract to launch in-flight games on RJ flights, aiming to enhance passengers’ experience onboard.

RJ Vice Chairman/CEO Samer Majali and Tamatem founder/CEO Hussam Hammo signed the agreement, whereby Tamatem will integrate several games on RJ’s wireless inflight entertainment system – SkyConnect, and set up arcade machines, tablets, and charging stations in the Crown Lounge at Queen Alia International Airport, according to an RJ statement.

Majali expressed satisfaction with such partnerships, through which RJ both exercises its corporate social responsibility by lending support to pioneering Jordanian companies as well as takes part in the scalability of innovative Jordanian companies.

Article By The Jordan Times

Jordan-based Tamatem and Royal Jordanian sign a new deal

In the past months, Jordan-based mobile game publisher Tamatem, which has received an $11 million investment from Krafton-led financing round, has signed a new deal. The agreement with Royal Jordanian (RJ), a Jordanian airline company, covers passenger comfort and in-flight entertainment content.

Under the deal, Tamatem will integrate several games into SkyConnect, Royal Jordanian’s wireless inflight entertainment system. This deal will make flights more enjoyable, and both companies will benefit. According to a statement released by Royal Jordanian, the agreement was signed between Samer Majali, RJ vice president and CEO, and Hussam Hammo, Tamatem’s Founder and CEO.

According to another RJ statement, gaming machines, tablets, and charging stations will be installed in the Crown Lounge at Queen Alia International Airport as part of the agreement. In the past two years, Jordanian company Tamatem has made a name for itself with various news. The successful company continues to increase the scale with new agreements.

Article By SÜLEYMAN CENGIZ
Mobidictum