Tag: AI

8. ASIMO BY HONDA During the 1980’s, Honda diverted from its usual product lines of cars, motorcycles, aircraft, and power equipment, and embarked on a “side project” in the Artificial Intelligence department. The final product was a humanoid robot called ASIMO, which stands for Advanced Step in Innovative Mobility.

7. VALKYRIE Valkyrie is a 6-foot-2-inch-tall, 300-pound robot that was developed by NASA’s Johnson Space Center, in partnership with Texas A&M and the University of Texas. The robot was designed for the 2015 DARPA Robotics Challenge, a contest that sought to create semi-autonomous ground robots for use in conditions that are deemed too hazardous for humans.

6. ATLAS Atlas is a bipedal humanoid robot that was created by the US-based engineering and robotics company Boston Dynamics, and which was revealed to the public in 2013. The project was funded and overseen by DARPA, an agency of the United States Department of Defense that is responsible for the development of emerging technology for use by the American military.

5. KENGORO Toward the end of 2017, researchers from the University of Tokyo reported the development of a robot named Kengoro, which can do sit-ups, push-ups, and back extensions, and otherwise move in shockingly human ways that are uncharacteristic of any previous robot. Most impressive, however, is the ability of Kengoro to sweat.

4. HRP-4 This lightweight humanoid robot was developed by Japanese bridge-building company Kawada Industries, in collaboration with the National Institute of Advanced Industrial Science and Technology. It weighs just 86 pounds, has better balance, and is leaner than previous models of the HRP-series robots, and can also respond to voice commands and track faces and objects. Even more impressively, the HRP-4 can stand on one leg and strike poses.

3. FURHAT Another robot that was designed with the goal of eventually replacing humans is Furhat, which was released in late 2018 and is claimed by its developer, Stockholm-based Furhat Robotics, to be the world’s most advanced social robotics platform. The company is so confident about their product, they believe it “bridges the gap between man and machine.”

2. NINA In 2013, engineers from the French National Centre for Scientific Research created Nina, a 1.02 meter (3.3 feet) tall humanoid robot that has been shaping its behavior ever since. Gerard Bailly, director of research at CNRS, explained in 2017 that Nina is continuously learning “how to behave in a socially acceptable manner.”

1. SOPHIA On October 25, 2017, an eerily life-like robot named Sophia became the first robot in the world to truly be recognized as a human, when the kingdom of Saudi Arabia granted her full citizenship.

Artists are using artificial intelligence to make art, and now the Metropolitan Museum of Art, MIT and Microsoft are teaming up to predict what will appeal to art lovers based on their social media profiles and preferences

This is an Artificial Intelligence booster video featuring Bill Gates, Tim Cook, Warren Buffett, Barack Obama, Elon Musk, Sundar Pichai and Jeff Bezos and a promotion for Simplilearn’s Artificial Intelligence course.

According to the report How AI Boosts Industry Profits and Innovations, AI is predicted to increase economic growth by an average of 1.7 percent across 16 industries by 2035. The report goes on to say that, by 2035, AI technologies could increase labor productivity by 40 percent or more, thereby doubling economic growth in 12 developed nations that continue to draw talented and experienced professionals to work in this domain. Let us see what our business leaders have to say about this.

The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. for engineers with the required skills.

The future is artificial intelligence (AI).

In the coming 50 years all people will be impacted by AI.

AI is based upon computing massive amounts of data. In fact, that articulates its basic purpose: understanding massive amounts of data and complex systems.

AI is just algorithms being executed in clever ways.

It’s difficult to predict all the ways AI will make life better in the future.

But the downside includes the amount of human labor that will be replaced.

How we will manage the disruption needs to be figured out.

Furthermore, the systems themselves are prone to compromise.

The more we become reliant upon AI, the more vulnerable we become when those systems are attacked or disrupted.

We need to think about the ethical deployment of technology.

It’s impossible to predict all the ramifications of AI.

The term “artificial intelligence” (AI) has been around since 1956.

Scientists found that it was more efficient to teach computers to learn than to program every skill needed to perform every task. This became known as machine learning.

Deep learning is a subset of machine learning that uses neural networks, which is a set of algorithms modeled on the human brain.

This enabled AI to tackle even bigger problems.

Voice recognition, improved medical diagnosis and self-driving cars are examples of machine learning.

Machine learning and deep learning have the potential to improve every aspect of business and the economy.

However, AI can be hard to implement alone. It’s also computational intensive and expensive.

Amazon Web Services (AWS) presents itself as the solution to these problems.

Amazon SageMaker is their specific solution to getting started with and using AI.

Developers can use whichever deep learning frameworks they are familiar, including TensorFlow, PyTorch and MXNet.

Any business can accelerate machine learning in the cloud with AWS.

AI will eliminate many jobs. It will create new ones.

Mercer President Julio Portalatin and Philip Morris International CEO André Calantzopoulos discuss the changing global economy and the impact artificial intelligence is having on the workforce.

This video posits that humans are on the verge of representing a minority of available knowledge, compared to the potential of superintelligent artificial intelligence.

Narrow AI is created to solve one task, such as playing games, speech recognition, suggesting songs or purchases, etc. It does this well.

Machine learning is an attempt to mimic the way humans learn: observation and gaining more experience and knowledge.

Neural networks take in info and provide an output. They are computing systems vaguely inspired by the biological neural networks that constitute animal brains. The neural network itself is not an algorithm, but rather a framework for many different machine learning algorithms to work together and process complex data inputs

Artificial General Intelligence (AGI) is AI with more than a single purpose. It’s an attempt to mimic human intelligence. AGI is the intelligence of a machine that could successfully perform any intellectual task that a human being can. It is a primary goal of some artificial intelligence research and a common topic in science fiction and future studies.

Technological singularity refers to such an advance in AI that there is an explosion of new intelligence, which may not be understood by humans.

Superintelligent AI is different from software we know today, which we program and which follows our rules. With advanced AI, there’s a point where it doesn’t need humans.

WISDOM AND INTELLIGENCE

Intelligence is more about making mistakes and acquiring knowledge and solving problems through that.

Wisdom is about applying the correct knowledge in the most efficient way. Wisdom is being able to see beyond the intelligence gained and being able to apply that to other things.

Superintelligent AI is the last invention mankind will make. Once it’s invented and it cannot be uninvented. It could be good or bad.

The video concludes by suggesting the viewer learn more at Brilliant.org

This video includes highlights from The Future of Leadership Development Conference Series, held April 19-20 2018.

The current technology revolution is reshaping industries, making business models obsolete, growing new companies with a different set of capabilities and creating disruption and social change.

In a digital, big data, machine-learning, robotics and artificial intelligence-based world, the role of general managers is more important than ever. The competencies that they need are changing fast.

At the same time, there are some classical attributes of the general managers’ functions – providing a sense of purpose, developing a long-term perspective, and engaging people and making teams functional, among others – that are still relevant, but that may take new dimensions in this new, changing business world.

What companies, people and society in general will expect from senior managers in a few years’ time will be different from their current skills and capabilities.

At the same time, technology is disrupting companies and communities, CEOs, board members and general managers, as the ultimate stewards of a company, need to reflect on how to manage this process and help come up with constructive solutions.

The purpose of this conference was to discuss these relevant issues for leadership, governance and management with an inter-disciplinary perspective. Speakers include leading management and leadership scholars, AI experts, CEOs and senior general managers, and deans of leading international business schools.

Some of the specifics that were covered include:

What creates long term value? That would be customer-asset building and brand-asset building since, so far, computers cannot build brands.

The parts of business that will change:
1) What they make
2) How things are made, or how businesses operate
3) Who businesses will form alliances with
4) How the people work are organized and managed.

Businesses and be broken down into projects and processes.

Processes will become an algorithm

We need to teach people how to use data.

Data and AI are important to all business units.

Management needs to know the right questions to ask the technical guys.

Decisiveness wins out over building the perfect model.

The most important ingredient for success is the power of imagination, which cannot be substituted.

AI can augment human intelligence, not replace it.