Lifeboat Foundation

This is wild: a team of Israeli scientists developed a contraption that uses a person’s brain waves to remotely control DNA-based nanorobots — while the nanobots were inside a living cockroach. When prompted by a human thought, the clam shell-like robots opened up, revealing a drug-like molecule that tweaked the physiology of the cockroach’s cells.

Though “merely a demonstration and proof of concept,” the technology represents a new era of brain-nanomachine interfaces that links a person’s mental state to bioactive payloads such as drugs. Future techniques that build upon this prototype could be helpful for schizophrenia, depression or other mental disorders, in that the drugs only activate when a patient’s brain waves show signs of abnormality.

Talk about the power of positive thinking!

Continue reading “Mind-Controlled Nanobots Used to Release Chemicals in Living Cockroaches” »

Among the AI pieces it is including in the platform are advanced machine learning, deep learning, predictive analytics, natural language processing and smart data discovery.

Ultimately, it’s not very different from exposing any other parts of the platform to customers, but it’s focused on making a smarter CRM tool, one that surfaces the information that matters. Sometimes this information may seem apparent, signals any reasonably good sales person would be looking for. Salesforce’s goal here is to put this key data front and center, and it believes even the most skilled sales pros will benefit from this approach.

For inside sales teams making cold phone calls all day long, the system can surface the most likely candidate as the next call automatically. For sales people working territories, it can keep them apprised of key information such as when a competitor’s interest shows up in the news. While you could argue that an astute sales person would be tracking this information, the Salesforce Einstein approach is designed to leave nothing to chance.

Continue reading “Salesforce Einstein delivers artificial intelligence across the Salesforce platform” »

In a new interview, Elon Musk identifies genetics, AI, and brain bandwidth as three areas in which today’s youth can have the biggest impact on the future. However, he doesn’t think an idea needs to be revolutionary to be worthwhile.

While many 2o-something-year-olds are just finding their way in the world, young Elon Musk was already looking for ways to change it way back in 1995 (when he was that age).

Continue reading “Elon Musk: These Are the 5 Most Important Problems We Need to Solve” »

The research lab that developed Siri, SRI International, is creating virtual assistants that can detet your emotional state, and react accordingly. It envisions assistants that can detect emotions and tailor their reactions to those emotions.

Artificial intelligence (AI) is all about getting a machine to mimic a human in every way: thought, speech, movement. That’s why one of the tests for AI is the Turing test: whether a robot can fool a human into thinking it is conversing with another of its own species.

An integral part of accomplishing this is making the AI recognize human emotions. So one research lab is working on the next iteration of virtual assistants, those that can recognize and react to emotional cues. SRI International, the birthplace of Siri, is working on better chatbots and phone assistants that can detect agitation, confusion, and other emotional states, and respond accordingly.

Continue reading “The Age of the AI: Bots Are Getting Better At Detecting Our Emotions” »

Advances in machine learning have been driven by innovations and ideas from many fields. Inspired by the way that humans learn, Reinforcement Learning (RL) is concerned with algorithms which improve with trial-and-error feedback to optimize future performance.

Board games and video games often have well-defined reward functions which allow for straightforward optimization with RL algorithms. Algorithmic advances have allowed for RL to be in real-world problems, such as high degree-of-freedom robotic manipulation and large-scale recommendation tasks, with more complex goals.

Twitter Cortex invests in novel state-of-the-art machine learning methods to improve the quality of our products. We are exploring RL as a learning paradigm, and to that end, Twitter Cortex built a framework for RL development. Today, Twitter is open sourcing torch-twrl to the world.

Continue reading “Reinforcement Learning for Torch: Introducing torch-twrl” »

Spot comes on stage at Disrupt SF.

Microsoft’s new AI glasses are helping blind people see. A great example of AI+human collaboration tech for the betterment of humanity.

One research lab is working on the next iteration of virtual assistants, those that can recognize and react to emotional cues.

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