Lifeboat Foundation

The need to pursue racial justice is more urgent than ever, especially in the technology industry. The far-reaching scope and power of machine learning (ML) and artificial intelligence (AI) means that any gender and racial bias at the source is multiplied to the n th power in businesses and out in the world. The impact those technology biases have on society as a whole can’t be underestimated.

When decision-makers in tech companies simply don’t reflect the diversity of the general population, it profoundly affects how AI/ML products are conceived, developed, and implemented. Evolve, presented by VentureBeat on December 8th, is a 90-minute event exploring bias, racism, and the lack of diversity across AI product development and management, and why these issues can’t be ignored.

“A lot has been happening in 2020, from working remotely to the Black Lives Matter movement, and that has made everybody realize that diversity, equity, and inclusion is much more important than ever,” says Huma Abidi, senior director of AI software products and engineering at Intel – and one of the speakers at Evolve. “Organizations are engaging in discussions around flexible working, social justice, equity, privilege, and the importance of DEI.”

Learned optimizers are algorithms that can be trained to solve optimization problems. Although learned optimizers can outperform baseline optimizers in restricted settings, the ML research community understands remarkably little about their inner workings or why they work as well as they do. In a paper currently under review for ICLR 2021, a Google Brain research team attempts to shed some light on the matter.

The researchers explain that optimization algorithms can be considered the basis of modern machine learning. A popular research area in recent years has focused on learning optimization algorithms by directly parameterizing and training an optimizer on a distribution of tasks.

Research on learned optimizers aims to replace the baseline “hand-designed” optimizers with a parametric optimizer trained on a set of tasks, which can then be applied more generally. In contrast to baseline optimizers that use simple update rules derived from theoretical principles, learned optimizers use flexible, high-dimensional, nonlinear parameterizations.

Automated medical transcription that’s actually accurate could save doctors a huge amount of time, and the tech giants are getting in on the action.

Japanese researchers have created a mind-controllable Gundam robot, turning one of the anime’s most exciting technological concepts into reality.

The model, based on the mobile suit Zaku, has been available through Bandai’s Zeonic Technics package since last year, but that version requires manual programming on a smartphone app.

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The 22nd edition of the China Hi-Tech Fair, with more than 3,300 online and offline exhibitors from the mainland and overseas, has put renewed emphasis on the ways innovative technology could help people better adapt to changes caused by the Covid-19 outbreak.

China Hi-Tech Fair, the country’s biggest technology show, features a range of artificial intelligence, smart city and robotic applications.

Intel, Ubotica, and the ESA recently launched the first AI-enabled satellite into Earth’s orbit. The team told TNW about their hopes for the mission.

They’ re expanding skills, moving up the corporate ladder, showing awesome productivity and retention rates, and increasingly shoving aside their human counterparts. One multi-tasker bot, from Momentum Machines, can make (and flip) a gourmet hamburger in 10 seconds and could soon replace an entire McDonalds crew. A manufacturing device from Universal Robots doesn’t just solder, paint, screw, glue, and grasp—it builds new parts for itself on the fly when they wear out or bust.

Its is Obvious that the future is smart and only those who out smart these robots will remain relevant. Although it’s Stated that Artificial Intelligence can be disruptive, there are immense benefits Humanity can derive from them. Join my Boss Kelvin Ogba Dafiaghor as he share with the International community the massive benefits of Artificial Intelligence Robots.

As the CEO and Founder of OEC, it’s his vision to Domesticate AI in Africa and this Vision is shared by all who understand that the Future is now and its smart.

The enthusiastic developer of the “GitHub AI Brain-of-Brains” and “GITHUB2VEC” NLP productivity tools. A passionate multi-discipline Aerospace Mechanical Engineer with extensive experience integrating Artificial Intelligence, Hybrid Reinforcement Machine Learning (Hybrid-NEAT), data science and multi-discipline based simulation in Hybrid Reinforcement Learning based Optimization (Hybrid-NEAT), design and analysis of complex air, space and ground-based systems and engineering tool development.

It has been really fun talking to the kids about AI. Should we help AI consciousness to emerge — or should we try to prevent it? Can you design a kindest AI? Can we use AI as an universal emotion translator? How to search for an AI civilization? And many many other questions that you can discuss with kids.

Ultimately, early introduction of AI is not limited to formal instruction. Just contemplating future scenarios of AI evolution provides plentiful material for engaging students with the subject. A survey on the future of AI, administered by the Future of Life Institute, is a great starting point for such discussions. Social studies classes, as well as school debate and philosophy clubs, could also launch a dialogue on AI ethics – an AI nurse selecting a medicine, an AI judge deciding on a criminal case, or an AI driverless car switching lanes to avoid collision.

Demystifying AI for our children in all its complexity while providing them with an early insight into its promises and perils will make them confident in their ability to understand and control this incredible technology, as it is bound to develop rapidly within their lifetimes.

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