The Amazon Fire TV Stick has just been treated to an upgrade, pushing the best cheap streaming device on the market even further ahead of the competition. It was launched in the US some time ago, but has only just come to the UK, and brings with it a number of improvements that make it well worth buying, even if you already own an Amazon Fire TV Stick. Its headline feature is support for Alexa, Amazon's excellent voice assistant. This doesn't just enable users to track down TV shows, films and apps much, much faster than ever just by speaking to the voice-controlled remote, but also to accurately control playback without having to fiddle with any buttons. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

Brexit is well and truly happening and ever since the EU Referendum vote was passed, UK financial services have been predicting and estimating how much of an impact leaving the European Union will have on traditional banking and to what extent they will ...

One of the main arguments the Israeli historian Yuval Noah Harari makes in Sapiens: A Brief History of Humankind is that humans differ from other species because we can cooperate flexibly in large numbers, united in cause and spirit not by anything real, but by the fictions of our collective imagination. Examples of these fictions include gods, nations, money, and human rights, which are supported by religions, political structures, trade networks, and legal institutions, respectively. As an entrepreneur, I'm increasingly appreciative of and fascinated by the power of collective fictions. Building a technology company is hard. Lost deals, fragile egos, impulsive choices, bugs in the code, missed deadlines, frantic sprints to deliver on customer requests, the doldrums of execution: Any number of things can temper the initial excitement of starting a new venture. Mission is another fiction required to keep a team united and driven when the proverbial shit hits the fan. While a strong, charismatic group of leaders is key to establishing and sustaining a company mission, companies don't exist in a vacuum -- they exist in a market, and they participate in the larger collective fictions of the zeitgeist in which they operate.

Triplet networks are widely used models that are characterized by good performance in classification and retrieval tasks. In this work we propose to train a triplet network by putting it as the discriminator in Generative Adversarial Nets (GANs). We make use of the good capability of representation learning of the discriminator to increase the predictive quality of the model. We evaluated our approach on Cifar10 and MNIST datasets and observed significant improvement on the classification performance using the simple k-nn method.

This paper introduces a new lifelong learning solution where a single model is trained for a sequence of tasks. The main challenge that vision systems face in this context is catastrophic forgetting: as they tend to adapt to the most recently seen task, they lose performance on the tasks that were learned previously. Our method aims at preserving the knowledge of the previous tasks while learning a new one by using autoencoders. For each task, an under-complete autoencoder is learned, capturing the features that are crucial for its achievement. When a new task is presented to the system, we prevent the reconstructions of the features with these autoencoders from changing, which has the effect of preserving the information on which the previous tasks are mainly relying. At the same time, the features are given space to adjust to the most recent environment as only their projection into a low dimension submanifold is controlled. The proposed system is evaluated on image classification tasks and shows a reduction of forgetting over the state-of-the-art

The Gibbs sampler is a particularly popular Markov chain used for learning and inference problems in Graphical Models (GMs). These tasks are computationally intractable in general, and the Gibbs sampler often suffers from slow mixing. In this paper, we study the Swendsen-Wang dynamics which is a more sophisticated Markov chain designed to overcome bottlenecks that impede the Gibbs sampler. We prove O(\log n) mixing time for attractive binary pairwise GMs (i.e., ferromagnetic Ising models) on stochastic partitioned graphs having n vertices, under some mild conditions, including low temperature regions where the Gibbs sampler provably mixes exponentially slow. Our experiments also confirm that the Swendsen-Wang sampler significantly outperforms the Gibbs sampler when they are used for learning parameters of attractive GMs.

MIAMI – Orangutans, chimpanzees and bonobos are the nearest relatives of humans in the primate world, and like us, they can tell when a person is wrong in their beliefs, researchers said Wednesday. Great apes were also willing to help a person who was mistaken about the location of an object, according to the study in the journal PLOS ONE. "This study shows for the first time that great apes can use an understanding of false beliefs to help others appropriately," said by David Buttelmann from Max Planck Institute for Evolutionary Anthropology, Germany. Researchers used a test developed for human babies, about 18 months of age, to determine if they could understand when a person held a false belief -- a mark of advanced social cognition. A person would place an object on one of two boxes, while a great ape looked on.

A series of experiments has pitted robots against each other in different tasks to assess their evolving fitness across 10 generations, as they swapped genetic material in a process similar to mating. The study shows for the first time that developmental factors play a role in the evolution of physically embodied robots just as they do in biological systems, according to the researchers. The work taps into Darwinian evolutionary principles, and marks an important step forward in understanding how the interplay between evolution and development contributes to these systems. As the robots'reproduced' across 10 generations, the physical expression of the genome changed by altering their wiring according to the new genetic setup. The researchers measured the robots' fitness by their performance, and compared this with simulations In the study, researchers from Vassar College expanded on efforts in evolutionary robots to include epigenetic factors for the first time.

Last week, at an event on AI, I asked the panel about how investors evaluate the Data readiness of AI start-ups. This subject is close to my work and my teaching. I teach a course on Implementing Enterprise AI and also teach Data Science for IoT at the University of Oxford. Professor Neil Laurence has proposed a concept of Data readiness levels. The highest level of Data readiness represents Data which is most useful to make predictions i.e. "Can we use this data to prove the efficacy of a drug?"

Driverless pods have started started carrying members of the public around in North Greenwich, London, as part of the GATEway Project. The autonomous vehicles aren't fitted with a steering wheel or a brake pedal, and instead use a collection of five cameras and three lasers to detect and avoid obstacles on a two-mile route near the O2. They can see up to 100m ahead and are capable of performing an emergency stop if necessary, though they have a top speed of just 10mph. The prototype pods being used in Greenwich can carry four passengers at a time, but each of them will have a trained person on board during the three-week trial. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.