Bikaner, known for its rich heritage, grand palaces, and cultural vibrancy, is now easier to explore with Motoshare’s newly launched bike and car rental services. Motoshare offers a seamless platform connecting renters directly with vehicle owners, ensuring a quick, convenient, and affordable way to book the perfect ride. Whether you’re a solo traveler or a family exploring together, Motoshare has you covered.

Book Your Ride Today:

• Car Rentals in Bikaner
• Bike Rentals in Bikaner

Top 10 Must-Visit Places in Bikaner

Bikaner, a city steeped in history and culture, offers a wide range of attractions for travelers. Here’s a list of the top 10 places to explore:

1. Junagarh Fort
   • A magnificent fort showcasing intricate architecture and rich history. The museum inside the fort is a must-visit.
   • Best Time to Visit: October to March.
2. Karni Mata Temple (Temple of Rats)
   • Known for its unique devotion to rats, this temple is a fascinating cultural and religious site.
   • Best Time to Visit: October to February.
3. National Research Centre on Camel
   • Explore the world of camels, learn about their breeding, and enjoy camel rides or camel milk products.
   • Best Time to Visit: November to February.
4. Laxmi Niwas Palace
   • A luxurious heritage palace offering a glimpse into the royal lifestyle of Bikaner’s erstwhile rulers.
   • Best Time to Visit: Year-round, especially during evenings.
5. Ganga Singh Museum
   • A treasure trove of artifacts, paintings, and historical relics from Bikaner’s glorious past.
   • Best Time to Visit: Morning hours during winter.
6. Bhandasar Jain Temple
   • Known for its exquisite carvings and vibrant frescoes, this temple is a masterpiece of Jain architecture.
   • Best Time to Visit: November to February.
7. Devi Kund Sagar
   • A royal crematorium with intricately designed cenotaphs, offering a serene environment and stunning views.
   • Best Time to Visit: Early mornings in winter.
8. Rampuria Havelis
   • A cluster of ornately decorated havelis, known for their red sandstone architecture and intricate designs.
   • Best Time to Visit: October to March.
9. Kolayat Lake
   • A tranquil spot perfect for picnics and boating, with a religious significance as well.
   • Best Time to Visit: November to February.
10. Deshnok Temple (Deshnoke)
    • A pilgrimage site located just outside Bikaner, known for its spiritual ambiance and unique rituals.
    • Best Time to Visit: Winter months or during Navratri.

Why Choose Motoshare for Bike and Car Rentals?

Here are the top reasons why Motoshare is your perfect travel companion in Bikaner:

1. User-Friendly Booking Platform:
   • Book your ride effortlessly with a few clicks.
2. Wide Range of Vehicles:
   • Choose from a variety of bikes and cars to match your travel needs and group size.
3. Affordable Pricing:
   • Enjoy competitive rates with no hidden charges, ensuring budget-friendly travel.
4. Direct Rentals from Vehicle Owners:
   • Access reliable vehicles directly from trusted owners in your area.
5. Flexible Rental Plans:
   • Rent a vehicle for a day, a week, or longer, based on your travel plans.
6. Seamless Support:
   • Motoshare’s dedicated support team is always ready to assist you for a hassle-free experience.

Plan Your Bikaner Adventure with Motoshare

From exploring the grandeur of Junagarh Fort to marveling at the charm of Rampuria Havelis, Bikaner offers a unique blend of history, culture, and spirituality. With Motoshare, you can enjoy the freedom to explore this royal city on your terms, making your journey unforgettable.

Start Your Journey Today:

• Car Rentals in Bikaner
• Bike Rentals in Bikaner

The post Discover Motoshare: Your Trusted Rental Partner in Bikaner appeared first on Artificial Intelligence.

Vijayawada, known as the “City of Victory,” is a bustling hub of culture, history, and natural beauty in Andhra Pradesh. From its sacred temples to serene canals, Vijayawada has something for every traveler. To make exploring this vibrant city convenient, Motoshare brings its newly launched bike and car rental services, enabling you to navigate the city on your own terms.

With Motoshare, you can rent a bike or car directly from vehicle owners with just a few clicks. Our platform is designed to be simple, efficient, and transparent, ensuring a seamless rental experience.

Why Choose Motoshare in Vijayawada?

1. Easy Booking Process: Find and book your ideal vehicle online in minutes.
2. Wide Range of Vehicles: From economical bikes for solo trips to spacious cars for family outings.
3. Affordable Pricing: Enjoy competitive rates with no hidden charges.
4. Direct Rentals: Rent directly from trusted vehicle owners for a personalized experience.
5. Flexible Durations: Choose rentals for a few hours, a day, or an extended trip.
6. 24/7 Accessibility: Book anytime, anywhere, based on your schedule.

Start your journey today:

• For car rentals in Vijayawada
• For bike rentals in Vijayawada

Top 10 Places to Visit in Vijayawada with Motoshare

1. Kanaka Durga Temple
   • Why Visit: A sacred temple dedicated to Goddess Durga, located atop Indrakeeladri Hill.
   • Best Time: Early morning for a peaceful darshan and stunning sunrise views.
2. Prakasam Barrage
   • Why Visit: A picturesque structure offering breathtaking views of the Krishna River.
   • Best Time: Evening to enjoy the illuminated barrage.
3. Undavalli Caves
   • Why Visit: A marvel of ancient rock-cut architecture and history.
   • Best Time: Morning to explore comfortably before it gets crowded.
4. Bhavani Island
   • Why Visit: A tranquil getaway for boating, picnics, and adventure activities.
   • Best Time: Winter months for pleasant weather.
5. Kondapalli Fort
   • Why Visit: A historical fort with scenic views, perfect for history buffs and trekkers.
   • Best Time: Morning for a comfortable trek.
6. Rajiv Gandhi Park
   • Why Visit: A family-friendly park featuring beautiful landscaping and a mini zoo.
   • Best Time: Late afternoon for a relaxed outing.
7. Mangalagiri Temple
   • Why Visit: An iconic temple dedicated to Lord Narasimha, located on a hill.
   • Best Time: Early morning for spiritual serenity.
8. Victoria Museum
   • Why Visit: Explore artifacts and exhibits showcasing the rich cultural heritage of Vijayawada.
   • Best Time: Daytime during museum hours.
9. Amaravati Stupa
   • Why Visit: A historical Buddhist site with ancient sculptures and inscriptions.
   • Best Time: Morning or late afternoon for a peaceful visit.
10. Gandhi Hill
    • Why Visit: A hilltop memorial dedicated to Mahatma Gandhi, offering panoramic views of the city.
    • Best Time: Evening for a stunning sunset.

Advantages of Exploring Vijayawada with Motoshare

1. Freedom to Explore: No dependency on public transport; travel on your own schedule.
2. Cost-Effective Rentals: Save on costly taxi fares and maximize your travel budget.
3. Customizable Options: Choose vehicles based on your travel style — bikes for quick trips or cars for group travel.
4. Local Insights: Renting directly from locals often includes tips on hidden gems and must-visit spots.
5. Eco-Friendly Choices: Opt for fuel-efficient vehicles to minimize your carbon footprint.

Book Your Ride with Motoshare and Start Exploring Vijayawada Today!

From spiritual temples to scenic riverscapes, Vijayawada has endless attractions to discover. With Motoshare’s bike and car rental services, you can travel the city comfortably and efficiently.

Get started now:

• For car rentals in Vijayawada
• For bike rentals in Vijayawada

Let Motoshare transform your travel experience in Vijayawada. Happy exploring!

The post Your Ultimate Vijayawada Travel Partner: Motoshare Rentals appeared first on Artificial Intelligence.

Gaming industry data science company Future Anthem announced today it entered into a partnership deal with UK-based gaming operator Betfred to become its AI & Game Data Science partner.

Insights Will Boost Player Experience

The agreement with the AI specialist will allow Betfred to leverage real time utility and insights from Future Anthem to its online gaming channel and continue to innovate and boost experience for its players.

“We continue to invest in our core platforms and technologies, in order to offer the best customer experience to our players.”

Rakesh Chablani, Managing Director, Betfred Digital

Future Anthem will deploy its data processing capabilities to extract anonymized game data related to player behavior while at play and provide surface and action insights to Betfred, thus allow the gaming operator to increase the level of game personalization via recommendations delivered through marketing and online campaigns.

“Taking advantage of Future Anthem’s existing technology, AI models, and experienced staff, under the guidance and leadership of our strong in-house data team, enables us to satisfy more of our objectives in a shorter timeframe.”

Rakesh Chablani, Managing Director, Betfred Digital

Leigh Nissim, chief executive officer at Future Anthem, expressed the excitement of the team at the data science company from the opportunity to collaborate with a prominent industry name such as Betfred, known for its customer-orientation.

“Working with a customer-orientated organisation such as Betfred brings out the best in our Game Data Science – our behavioural models are a great addition to the Betfred.com customer journey with automated recommendations that improve the player experience for everyone. We’re excited to be working with Betfred’s team on this journey.”

Leigh Nissim, CEO, Future Anthem

Game Data Science Market Leader

The latest partnership agreement with Betfred continues to affirm Future Anthem’s market leader position in terms of game data science and AI-based solutions.

In November 2020, Isle of Man-based gambling group GVC Holdings, now Entain, partnered with Future Anthem under its Advanced Responsibility and Care (ARC) program for safer gambling to pilot the recently developed by the data science company Anthemetrics Safer Play Responsible Gambling solution.

Among the most recent partnerships for Future Anthem was the one with leading innovator in slot development Big Time Gaming (BTG) in February. Under the deal, Future Anthem’s game data science platform Anthemetrics will provide player behavior modelling and interactive visualizations to allow BTG a deeper understanding into customers and ways to optimize its product portfolio.

The post Future Anthem Becomes Betfred’s AI & Game Data Science Partner appeared first on Artificial Intelligence.

New technology provides Waters’ Empower Chromatography Data System users with the ability to share and analyze lab instrument data

Waters Corporation has announced that it has entered a reseller agreement with TetraScience, a cloud technology innovator powering transformational changes in life sciences R&D. Through the partnership, Waters will now offer its customers the Empower™ Data Science Link, powered by TetraScience. This unique technology pairs Waters’ industry-leading, compliance-ready Empower Chromatography Data System (CDS) with TetraScience’s Data Platform and data science tools, providing unparalleled insights into chromatography data.

“So much of the potential for scientific progress and discovery today is held within the laboratory data that scientists work so hard to collect,” said Mike Harrington, Waters Senior Vice President, Global Markets. “Our partnership with TetraScience is built on offering scientific organizations the flexible means to access the instrument data connected through Waters’ Empower CDS so they can more easily use it to gain new insights and inform decisions. This is another leap forward in functionality for Empower, expanding the value of this market-leading lab informatics solution for our customers.”

Empower Data Science Link, powered by TetraScience is a cloud-native technology providing a solution for customers to unlock their Empower data and enable export into third party data analysis tools via standardized formats such as FAIR and Allotrope. Organizations can further accelerate scientific discovery by leveraging TetraScience’s cloud-native architecture, state-of-the-art data science tools, and visualization capabilities. These features enable easier collection, normalization and centralization of data to help expedite development timelines and allow scientists to make better informed and earlier decisions.

This technology facilitates the application of advanced analytics across Empower connected instruments. Empower-enabled organizations can leverage data science tools to uncover insights across their ‘distributed’ Empower data, even data that reside on different instruments located elsewhere in the enterprise. These capabilities are especially critical for organizations that prioritize quality-driven activities such as method performance monitoring, critical quality attributes, instrument utilization or long-term stability studies.

“In order to unlock the potential of life science R&D labs and dramatically accelerate discovery, we must capitalize on the power of AI and data science. A precondition to enabling these capabilities is moving the industry away from a legacy data model of silos and point-to-point integrations, to a native and unified cloud-based data paradigm,” explains Patrick Grady, Chief Executive Officer, TetraScience. “Our partnership with Waters is an example of what can now be done to enable the life science industry to accelerate discoveries that can help improve lives.”

The post Industry News: Waters and TetraScience partner to deliver new levels of data access and insights with Empower Data Science Link appeared first on Artificial Intelligence.

CommonSpirit Health, Providence, and Northwell Health are among the major health providers building a big data analytics platform to improve care.

Fourteen leading healthcare providers are partnering to form Truveta, a new company that will leverage big data analytics for enhanced care insights.

Providers involved in the effort include AdventHealth, Advocate Aurora Health, Baptist Health of Northeast Florida, Bon Secours Mercy Health, CommonSpirit Health, Hawaii Pacific Health, Henry Ford Health System, Memorial Hermann Health System, Northwell Health, Novant Health, Providence health system, Sentara Healthcare, Tenet Health, and Trinity Health.

Together, these healthcare providers care for tens of millions of patients and operate thousands of care facilities across 40 states. The health providers will govern Truveta’s ethical pursuit of insights from a de-identified dataset.

“The COVID-19 pandemic has shown us how much the world needs to learn faster, so we can better serve our communities,” said Terry Myerson, CEO of Truveta.

“Our vision is to save lives with data. We want to help researchers find cures faster, empower every clinician to be an expert, and help families make the most informed decisions on their care. We believe the Truveta platform can help improve health equity and advance personalized medicine. We are honored to be partnering with innovative and world-class health providers in this pursuit.”

Healthcare organizations today have datasets that are growing at exponential rates, but many don’t have the tools in place to extract meaningful insights from this information. The thoughtful use of big data in healthcare could help providers learn faster, move quicker, and improve patient outcomes.

Truveta will aim to build a new big data analytics platform by structuring, analyzing, and de-identifying data from participating health providers, while carefully protecting privacy and security. The platform will use AI and machine learning to enable unprecedented insights and collaborative learning among organizations.

“For years we have seen the opportunity for diverse health providers to come together with a shared sense of purpose and use our collective data for the common good of humanity. With Truveta, we created a unique model that is led by the health providers yet supported by one of the most talented technical teams to focus on health,” said Dr. Rod Hochman, President and CEO of Providence.

The new company will facilitate innovation in patient care through the creation of the Truveta data platform. The platform will deliver valuable insights from billions of critical data points with a single search, unlocking the power of de-identified data across all diagnoses, geographies, and demographics.

“We believe the cure for certain diseases could lie within the Truveta platform,” said Michael Slubowski, CEO of Trinity Health. “For the first time in the history of health, we have enough data at scale to dramatically advance innovation in healthcare with collective commitment to partner on ethical innovation.”

The current pandemic has demonstrated just how critical it is for the healthcare industry to move quickly in order to effectively serve patients. If an effort like Truveta had existed prior to the start of the pandemic, providers could have learned the best treatment paths from each other faster. Leaders hope that the formation of the company will pave the way for more collaborative care and education going forward.

“Since the start of the COVID-19 pandemic, we have seen displays of humanity and unity during our most trying moments. Together, we share a common mission to improve health equity and believe nobody should be left behind,” said Michael Dowling, President and CEO of Northwell Health. “Truveta is a catalyst for innovation, energizing health providers to modernize how we look at data to benefit patients.”

A Board of Governors will advise Truveta to ensure expertise is drawn from a variety of perspectives for strategic stewardship. Leaders from a diverse set of health providers will provide ongoing strategic, scientific, and operational advice on areas of expertise including ethics and health equity, data integrity, and clinical outcomes to make sure the company operates according to its mission.

“The future of healthcare is collaborative. We in healthcare exist side-by-side in our communities and we need to prioritize cooperation to truly make a difference—now more than we ever have,” said Lloyd Dean, CEO of CommonSpirit Health.

“We have a unique opportunity today to rebuild the healthcare system in our country, so it is better, stronger, and more responsive to the needs of everyone – especially the vulnerable and underserved populations.”

Truveta is inviting health providers, education, and research institutions anywhere in the world to join in creating and leveraging the Truveta platform to deliver the best care for patients.

“Our mission is to improve all people’s lives through excellence in the science and art of healthcare,” said Wright Lassiter III, President and CEO of Henry Ford Health System. “Truveta can uniquely provide the data and insights that will empower us to deliver equitable care with respect and compassion, which are the fundamental rights of those we serve.”

Truveta is committed to maintaining privacy and security, and all data on the platform will be de-identified.

“We know health data is unlike other data. It is the very definition of personal,” said Myerson.
“While we embark on our pursuit to generate knowledge and insights to improve patient care around the world, we must do so with the utmost caution to protect the privacy of patients.”

Healthcare providers expect that the Truveta platform will help enhance care delivery and patient outcomes.

“We see such a valuable opportunity to save lives in partnership with the Truveta platform,” said Alan Sanders, Vice President of Ethics, Trinity Health. “We believe it would be irresponsible to not join Truveta on this mission. It would be a tremendous data waste and withhold valuable contributions to the common good.”

The post Health Providers Partner to Create Big Data Analytics Platform appeared first on Artificial Intelligence.

Machine learning document analysis accelerates quality contract processing, customer onboarding and payment solutions.

Longmont, CO, Feb. 09, 2021 (GLOBE NEWSWIRE) — Parascript, which provides document analysis software processing for over 100 billion documents each year, announced today the Smart-Force (SFORCE) and Parascript partnership to provide a digital workforce that augments operations by combining cognitive Robotic Process Automation (RPA) technology with customers’ current investments for high scalability, improved accuracy and an enhanced customer experience in Mexico and across Latin America.

“Partnering with Smart-Force means we get to help solve some of the greatest digital transformation challenges in Intelligent Document Processing instead of just the low-hanging fruit. Smart-Force is forward-thinking and committed to futureproofing their customers’ processes, even with hard-to-automate, unstructured documents where the application of techniques such as NLP is often required,” said Greg Council, Vice President of Marketing and Product Management at Parascript. “Smart-Force leverages bots to genuinely collaborate with staff so that the staff no longer have to spend all their time on finding information, and performing data entry and verification, even for the most complex multi-page documents that you see in lending and insurance.”

Smart-Force specializes in digital transformation by identifying processes in need of automation and implementing RPA to improve those processes so that they run faster without errors. SFORCE routinely enables increased productivity, improves customer satisfaction, and improves staff morale through leveraging the technology of Automation Anywhere, Inc., a leader in RPA, and now Parascript Intelligent Document Processing.

“As intelligent automation technology becomes more ubiquitous, it has created opportunities for organizations to ignite their staff towards new ways of working – freeing up time from the manual tasks to focus on creative, strategic projects, what humans are meant to do,” said Griffin Pickard, Director of Technology Alliance Program at Automation Anywhere. “By creating an alliance with Parascript and Smart-Force, we have enabled customers to advance their automation strategy by leveraging ML and accelerate end-to-end business processes.”

“Our focus at SFORCE is on RPA with Machine Learning to transform how customers are doing things. We don’t replace; we compliment the technology investments of our customers to improve how they are working,” said Alejandro Castrejón, Founder of SFORCE. “We make processes faster, more efficient and augment their staff capabilities. In terms of RPA processes that focus on complex document-based information, we haven’t seen anything approach what Parascript can do.”

“We found that Parascript does a lot more than other IDP providers. Our customers need a point-to-point RPA solution. Where Parascript software becomes essential is in extracting and verifying data from complex documents such as legal contracts. Manual data entry and review produces a lot of errors and takes time,” said Barbara Mair, Partner at SFORCE. “Using Parascript software, we can significantly accelerate contract execution, customer onboarding and many other processes without introducing errors.”

The ability to process simple to very complex documents such as unstructured contracts and policies within RPA leveraging FormXtra.AI represents real opportunities for digital transformation across the enterprise. FormXtra.AI and its Smart Learning allow for easy configuration, and by training the systems on client-specific data, the automation is rapidly deployed with the ability to adapt to new information introduced in dynamic production environments.

About SFORCE, S.A. de C.V.

SFORCE offers services that allow customers to adopt digital transformation at whatever pace the organization needs. SFORCE is dedicated to helping customers get the most out of their existing investments in technology. SFORCE provides point-to-point solutions that combine existing technologies with next generation technology, which allows customers to transform operations, dramatically increase efficiency as well as automate manual tasks that are rote and error-prone, so that staff can focus on high-value activities that significantly increase revenue. From exploring process automation to planning a disruptive change that ensures high levels of automation, our team of specialists helps design and implement the automation of processes for digital transformation. Visit SFORCE.

About Parascript

Parascript software, driven by data science and powered by machine learning, configures and optimizes itself to automate simple and complex document-oriented tasks such as document classification, document separation and data entry for payments, lending and AP/AR processes. Every year, over 100 billion documents involved in banking, insurance, and government are processed by Parascript software. Parascript offers its technology both as software products and as software-enabled services to our partners. Visit Parascript.

The post Parascript and SFORCE Partner to Leverage Machine Learning Eliminating Barriers to Automation appeared first on Artificial Intelligence.

Amazon Web Services (AWS) has revealed new and updated courses for partners in the areas of advanced migration, security governance and machine learning.  

Among the new courses the cloud vendor has made available via its AWS Training and Certification function is AWS Solutions Training for Partners: Advanced Migrating to AWS (Technical), an advanced course that provides prescriptive guidance on how to migrate workloads at scale.  

This course also covers common migration patterns and challenges in large-scale migrations.  

With this course, partners will learn how to identify use cases for re-hosting, re-platforming and re-factoring legacy applications to AWS Cloud. Partners will also learn how to determine which applications are good candidates for automated modernisation.

Also available is the AWS Solutions Training for Partners: Security Governance at Scale (Business) course, which is designed to help sales and business professionals learn how to qualify customer opportunities around security governance at scale.  

This course covers topics such as AWS account management, cost control, security and compliance through automation, along with best practices for establishing an automated, simplified, and secure framework for governance at scale.  

AWS has also launched a major update to its AWS Solutions Training for Partners: Machine Learning on AWS (Business) digital course.

This update will see partners learn how to identify and qualify customer machine learning (ML) opportunities, how to help customers navigate the ML solution-building process and how to use such experience to build an AWS ML solutions practice.

The post AWS unveils fresh migration, cloud governance and machine learning partner training appeared first on Artificial Intelligence.

This year, we have seen all the hype around AI Deep Learning. With recent innovations, deep learning demonstrated its usefulness in performing tasks such as image recognition, voice recognition, price forecasting, across many industries. It’s easy to overestimate deep learning’s capabilities and pretend it’s the magic bullet that will allow AI to obtain General Intelligence. In truth, we are still far away from that. However, deep learning has a relatively unknown partner: Reinforcement Learning. As AI researchers venture into the areas of Meta-Learning, attempting to give AI learning capabilities, in conjunction with deep learning, reinforcement learning will play a crucial role. 

What is Reinforcement Learning? 

Imagine a child who is learning by interacting with their environment. Each touch will generate a sensation that can result in a reward. For instance, the pleasant smell of the flower will entice the child to want to smell the flower again; the pain from a prick of the flower’s stem will alert the child who will refrain from touching the stem again. 

In each case, as the child interacts with the environment, the environment reciprocates and teaches the child by rewarding the child with different sensations.

The child is learning by trial and error. 

This is reinforcement learning. In reinforcement learning, an agent starts in a neutral state. Then, as actions are taken, the environment helps the agent transition from the neutral state to other states. In these other states, there might be rewards for the agent. 

The goal of the agent is to gather as many rewards as possible. 

You can visualize yourself as an agent, walking on a reinforcement learning path, starting at the beginning of a maze toward the exit. With each step that you take, you have a chance of collecting rewards that you can tally up. Depending on the type of rewards and the quantity of the rewards, in your reward pouch, decisions can be made to direct you toward the exit. Eventually, with many tries, an optimal path can be found through the maze. 

Applications of Reinforcement Learning

Reinforcement learning is already widely used in many industries such as manufacturing, inventory management, delivery management, and finance.

In manufacturing, robots use reinforcement learning to learn specific tasks in sequence with precision on the assembly line. 

In delivery management systems, reinforcement learning can be used to split the customer’s order among different vehicles on different routes to arrive at the destination. 

In the financial industry, reinforcement learning is used to evaluate trading strategies to fulfill financial objectives. 

Most of the time, these reinforcement learning algorithms are integrated with deep learning algorithms to create deep reinforcement learning algorithms that can handle more complex tasks. 

Why is Deep Learning Limited?

In contrast, deep learning is a subset of machine learning that’s receiving a lot more attention than reinforcement learning. People often think that deep learning is the part of machine learning that will ultimately bring us closer to Artificial General Intelligence. 

In truth, deep learning is only part of the solution. 

Deep learning is based on a neural network architecture that’s similar to the human brain to allow it to make simple decisions. 

Traditional models of deep learning such as convolutional neural networks or recurrent neural networks are great at making simple decisions and finding hidden relationships. However, due to the restrictions in the number of layers of complexity, time, and data, deep learning is limited in its capacity to make decisions in complex situations. 

On top of that, deep learning by itself cannot infer the meaning of the patterns that it sees. Most technologists will agree that deep learning, by itself is great for classification problems, but it is inadequate for problems that require reasoning, understanding and common sense. 

Deep learning also has a huge limitation: it needs to consume a lot of data to be able to make accurate decisions. The biggest asset in human decision making is that our brains can zoom in on “critical” information. Often, we make important decisions on little current information in conjunction with our past experiences and knowledge from the past. 

Artificial General Intelligence can only become more sophisticated if it can also make decisions based on small amounts of data. 

In other words, deep learning by itself does not bring us to Artificial General Intelligence. It needs a partner that can perform abstractions and reasoning.

Reinforcement Learning’s Role in Artificial General Intelligence

One of the most important aspects of research into Artificial General Intelligence is in the area of reinforcement learning. While Deep Learning gives AGI the ability to uncover hidden patterns to make connections, it is reinforcement learning that allows AGI to make abstractions to understand the meaning behind patterns and in turn direct behavior. 

When deep learning is combined with reinforcement learning in deep reinforcement learning, the AGI can plan, understand, and strategize the actions that it should take. 

An example of this is DeepMind’s MuZero algorithm, a deep reinforcement learning algorithm that’s able to construct agents that can plan out how to play games such as chess and GO, without knowing the rules. 

This is the first step of artificial general intelligence. 

When AI can use limited data to plan, understand and strategize actions, without being explicitly “taught”, then the AI is closer to achieving general intelligence. 

Conclusion

In the coming year, we will likely see a lot more applications of deep reinforcement learning algorithms in different industries. This is an exciting time. With many applications in different industries, the usage of these algorithms will become more prevalent and sophisticated. With many iterations of research and application, we can truly see the potential of power of AI that might someday achieve general intelligence. 

The post Reinforcement Learning, Deep Learning’s Partner appeared first on Artificial Intelligence.