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DARPA: robots and technologies for the future management of advanced US research. DARPA military robots. DARPA battle robots. Military technologies DARPA. Battle robots of the future. Technologies of the future in the US Army.
0:59 DARPA mission
1:31 Project ARPANET
2:12 First “smart machine” or robot
3:15 The first self-driving vehicles and the first Boston Dynamics robot
3:47 DARPA robot racing
4:24 First Boston Dynamics Big Dog four-legged robot
5:15 Energy Autonomous Tactical Robot Program
5:33 Engineering Living Materials Program
5:57 Spy Beetles – Hybrid Insect Micro-Electro-Mechanical Systems
6:45 Robot Worm – Project Underminer
7:11 DARPA – The Systems-Based Neurotechnology for Emerging Therapies
7:51 Robotic pilots with artificial intelligence
8:28 Artificial Intelligence Combat Air System – Air Combat Evolution
9:11 UNcrewed Long Range Ships – Sea Train
10:03 DARPA creates an intelligent robot swarm
10:44 Project OFFSET
11:10 Project Squad X
11:50 Battle of human robots on DARPA Robotics Challenge
Defense Advanced Research Projects Agency, abbreviated DARPA, or the Office of Advanced Research Projects of the U.S. Department of Defense, was established in 1958, almost immediately after the launch of the USSR Sputnik-1. The realization that the Soviets were about to launch into space not only satellites, but also missiles, greatly cheered up the government of the United States. The result was the creation of a unique agency with a huge budget, which could be spent at its own discretion. Watch a selection of the most unexpected, strange and advanced projects in the field of technology and artificial intelligence DARPA in one video!
#prorobots #technology #roboticsnews
PRO Robots is not just a channel about robots and future technologies, we are interested in science, technology, new technologies and robotics in all its manifestations, science news, technology news today, science and technology news 2020, so that in the future it will be possible to expand future release topics. Today, our vlog just talks about complex things, follows the tech news, makes reviews of exhibitions, conferences and events, where the main characters are best robots in the world! Subscribe to the channel, like the video and join us!
Live panel discussion for week 2 of the third Contract Management Massive Open Online Course, by the University of Southampton and IACCM, hosted in the FutureLearn platform
Artificial intelligence (AI) is changing how businesses operate at a fundamental level. In this session, we cover how AI is changing the work of the manager and what the future of organizations and competition will look like. We will discuss concrete examples from human resources and finance.
We will also introduce the new “Artificial Intelligence and the Future of Management Initiative at IESE” and how IESE is working to help you prepare for what is coming.
Some chronic conditions, such as the autoimmune disease scleroderma, are especially difficult to treat because patients exhibit highly variable symptoms, complications and treatment responses. The process of finding an effective treatment for an individual can be frustrating for doctors, and painful and expensive for patients.
With support from the National Science Foundation (NSF), computer scientist and professor Suchi Saria, with Dr. Fredrick Wigley and an interdisciplinary team of experts at Johns Hopkins University, is leading a groundbreaking effort using Big Data to ease some of that pain for scleroderma patients. The team’s research is in machine learning, a subfield of computer science and statistics that allows machines to learn from data. The team designs statistical algorithms that enable computers to analyze large volumes of medical records and identify subgroups of patients with similar patterns of disease progression.
In addition, the system learns the symptoms and treatments that are predictive of specific patterns of improvement or deterioration to help doctors pick the right set of treatments for an individual patient. Doctors can then map the course of treatment for new patients, based in part on what the computers reveal about what happened to other patients with similar symptoms.
Saria foresees data analysis similar to this helping clinicians treat other chronic diseases, such as lupus and rheumatoid arthritis.
Research in this episode was supported by NSF award #1418590, Smart and Connected Health (SCH)/Integrative Projects (INT): Collaborative Research: Modeling Disease Trajectories in Patients with Complex, Multiphenotypic Conditions.
NSF Grant URL: http://www.nsf.gov/awardsearch/showAward?AWD_ID=1418590&HistoricalAwards=false
Miles O’Brien, Science Nation Correspondent
Ann Kellan, Science Nation Producer
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Human bias is a notorious hindrance to effective risk management, and humans have long relied on machines to help them compensate for these errors. In particular, algorithmic, rules-based decision-making has done much to limit human bias in risk analysis. Machine learning is now lifting this work to the next level by uncovering trends and correlations heretofore unknown, and by enabling real-time access to high-frequency data. CEOs from innovative big data companies will reveal some of the most exciting new discoveries and applications of this sophisticated technology.
Executive Director, Center for Financial Markets, Milken Institute
Chief Cybersecurity Officer, Trend Micro
Stuart Jones, Jr.
CEO, Sigma Ratings Inc.
CEO and Co-Founder, GeoQuant Inc.
Founder and CEO, Starling Trust Sciences
11 Artificial Intelligence Examples In Business namely
1. spam filters
2. smart email categorisation
3. voice to text features
4. smart personal assistants, such as Cortana
5. automated responders and
6. online customer support
7. process automation
8. sales and business forecasting
9. security surveillance
10. smart devices that adjust according to behaviour
11. automated insights, especially for data-driven industries (eg financial services or e-commerce)
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A better tomorrow with Technology
Leading edge AI applications have always been resource-intensive and known for stretching the limits of conventional (von Neumann architecture) computer performance. Specialized hardware, purpose built to optimize AI applications, is not new. In fact, it should be no surprise that the very first .com internet domain was registered to Symbolics – a company that built the Lisp Machine, a dedicated AI workstation – in 1985. In the last three decades, of course, the performance of conventional computers has improved dramatically with advances in chip density (Moore’s Law) leading to faster processor speeds, memory speeds, and massively parallel architectures. And yet, some applications – like machine vision for real time video analysis and deep machine learning – always need more power.
Participants in this webinar will learn the fundamentals of the three hardware approaches that are receiving significant investments and demonstrating significant promise for AI applications.
– Neuromorphic/neurosynaptic architectures (brain-inspired hardware)
– GPUs (graphics processing units, optimized for AI algorithms), and
– Quantum computers (based on principles and properties of quantum-mechanics rather than binary logic).
Note – This webinar requires no previous knowledge of hardware or computer architectures.
The Future of Management in an Artificial Intelligence-Based World
For more info about the conference: https://bit.ly/2J30TD3
Live Session: Artificial Intelligence: New Challenges for Leadership and Management
-Dario Gil, Vice President of Science and Solutions, IBM Research
-Tomo Noda, Founder and Chair, Shizenkan University Graduate School of Leadership and Innovation, Japan
Moderator: Sandra Sieber, Professor, IESE
The Future of Management in an Artificial Intelligence-Based World
The Future of Leadership Development Conference Series
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 is 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.
This is the fifth edition of The Future of Leadership Development Conference at IESE. This series was launched in 2008, right before the explosion of the financial crisis. Each conference addressed some major topics in business education: leadership, ethics and business social impact (2008); globalization and leadership development (2011); the future of the MBA Program to develop a new generation of leaders (2013); and innovation and entrepreneurship in global leadership development (2015).
Franz Heukamp, Dean, IESE Business School. Conference Co-organizer
Jordi Canals, Professor, IESE Business School, Conference Co-organizer