Artificial Intelligence (AI) and Machine Learning (ML) are utilized in many different industries. AI and ML create more efficient virtual healthcare visits and more intuitive online education platforms. They enhance agriculture through IoT devices to monitor soil health, and devise new ways for people to access banking and other financial services. This type of technology can also be used to improve services that nonprofits provide to local communities. At Cisco, we have a proven track record of supporting nonprofits through our strategic social impact grants along with a strong culture of giving back.

Collaborative learning is gaining acceptance as one of the most successful educational approaches to learning. The basic idea is to organise learners in groups to work together and solve problems or complete tasks. There is ample evidence that when learners actively engage in discussions, listen to different viewpoints, and defend their positions, they better understand new concepts and learn faster. A particular case of collaborative learning is co-operative learning, where each student is responsible for at least one specific aspect or competence needed to solve the problem jointly. The student is improving her understanding through collaboration with others and is also responsible for the group's success concerning the aspect she is responsible for.

Team "say NOOOOO to overfittttting" did just that and took first place in the Microsoft Malware Classification Challenge. Sponsored by the WWW 2015 / BIG 2015 conferences, competitors were given nearly half a terabyte of data (when uncompressed!) and tasked with classifying variants of malware into their respective families. This blog outlines their winning approach and includes key visuals from their analysis. Little Boat: I was learning Python by doing the Harvard CS109 online, and was trying to find some practical projects to do. Then Google suggested Kaggle (not surprised!).

Editor's note: Here is the second part of our UpTech Artificial Intelligence series interview with UpTop CEO Frank Barletta. I would say candidly, speaking to people, having an open network, being comfortable sharing what you're good at and what your bad at, and being open to feedback--learning what the industry wants, learning what the technology capabilities are. There's so much that's out there that's still in its infancy that, as the technologies mature, you can apply to your business and apply to specific aspects of operations. So, it's just the desire to want to learn. A good team is also important--being open to listening to your team.

In one corner, there's a newbie, 5G-- higher bandwidth networks promising super-fast speed and increased responsiveness and reliability. And in the other, artificial intelligence (AI)--technology that can analyze massive amounts of data and learn from previous actions. But combined together, 5G networks and AI have the potential to pack a significantly more powerful punch. Some industry experts argue that the key differentiator among mobile networks will be the quality of the AI in their systems. "Together, AI and 5G will make possible capabilities that never existed before," says Prakash Sangam, principal and founder of Tantra Analyst, a high-tech research, analysis and strategic advisory firm.

A group of schoolchildren who won a robotics competition were subjected to a barrage of racist abuse from some rival pupils and their parents who shouted: "Go back to Mexico". It was the first time that pupils from Pleasant Run Elementary School had entered the robotics challenge. Their victory over the youngsters from other Indianapolis schools, put them a step closer to the state championship. Yet as the children, aged nine and ten, left the event and walked out to the parking area, some of the children they had just beaten, along with their parents, unleashed racist comments. Kids on winning robotics team told, 'Go back to Mexico' https://t.co/iGmm9yOQsF