“Many doctors call it the worst disease in medicine and the unmet need is huge,” said Richard Mead of the Sheffield Institute of Translational Neuroscience, who has found AI is already speeding up his work. About 140,000 new cases are diagnosed a year globally and there is no cure for the disease, famously suffered by cosmologist Stephen Hawking.
Mead is working with BenevolentAI to use AI for drug discovery. Mead believes ALS is ripe for AI and machine-learning because of the rapid expansion in genetic information about the condition and the fact there are good test-tube and animal models to evaluate drug candidates.
Microsoft’s former AI expert, Qi Lu, moved to Chinese search giant Baidu earlier this year. Lu spent time working on Cortana and Microsoft’s bot platform whilst he was at the software giant, along with heading up the company’s Bing search and Office teams. In an interview with Wired, Lu has provided some rare insight into Microsoft’s
struggles to compete with Amazon’s Alexa voice assistant.
Lu believes Microsoft and Google “made the same mistake” of focusing on the phone and PC for voice assistants, instead of a dedicated device. “The phone, in my view, is going to be, for the foreseeable future, a finger-first, mobile-first device,” explains Lu. “You need an AI-first device to solidify an emerging base of ecosystems.”
Albert Wenger (VC at Union Square Ventures) argues that what makes us human is our possession of knowledge. If that’s the case, he says, then when (if?) we have AGI, “we will have a new set of humans on this planet.”
The fruits of Amazon Web Services’ acquisition of harvest.ai arrived Monday with the announcement of Macie, a new service that uses machine learning to detect and report possible security problems with cloud workloads.
AWS announced Macie and several other new services at the AWS Summit in New York Monday morning,
including the news that Hulu built its Live TV service on AWS. The new services were spread across a number of different fronts, but most are designed to make it easier for companies with existing workloads outside of the cloud to finally take the plunge with AWS.
As dean of Swinburne University’s Law School, Dan Hunter is working to have most wardens replaced by a system of advanced AI connected to a network of high-tech sensors. Called the Technological Incarceration Project, the idea is to build an IoT infrastructure for prisons.
Professor Hunter’s team is researching an advanced form of home detention, using artificial intelligence, machine-learning algorithms and lightweight electronic sensors to monitor convicted offenders on a 24-hour basis. “If we had to use human beings, the cost of monitoring every single type of interaction would be prohibitively expensive,” he says.
Some thoughts from Arvind N: in classic Ng style, the course is delivered through a carefully chosen curriculum, neatly timed videos and precisely positioned information nuggets. Andrew picks up from where his classic ML course left off and introduces the idea of neural networks using a single neuron(logistic regression) and slowly adding complexity — more neurons and layers. He gives the course 2 thumbs up, but he recommends doing Ng’s machine learning course first, as well as Jeremy’s FAST.AI course.
At a glance, the picture below could be a blurry dashcam photo or a snap that’s gone through one of those apps that turns photos into paintings. But you won’t find this street anywhere on Google Maps. That’s because it was generated by an imaginative neural network, stitching together its memories of real streets it was trained on.
Take a look at the work of Qifeng Chen and Vladen Koltun in which they present an approach to synthesising photographic images conditioned on semantic layouts. Given a semantic label map, their approach produces an image with photographic appearance that conforms to the input layout.
This week Daniel Faggella interviewed Tilak Kasturi, CEO of Predii, a predictive maintenance AI company based in Palo Alto. Predii focuses on helping service people by using AI and sensor data to prescribe proper repairs. In this episode, Tilak speaks about what’s currently possible within the world of “predictive maintenance,” as well as the possible ramifications of industrial IoT and AI in the next 5 years.