Earlier than Jan-11-2018

Shop inside this autonomous shuttle on your way to do more shopping


Toyota's self-driving shuttle can double as a mobile storefront or package delivery. A link has been posted to your Facebook feed. Toyota's self-driving shuttle can double as a mobile storefront or package delivery.

Samsung Bixby Rollout: Digital Assistant Coming To Connected Devices Including TVs

International Business Times

At CES 2018, Samsung is showing off its vision for the modern home and workplace through its Samsung City exhibit. While its booth mainly focuses on how its devices are connected through a new approach, Samsung is actually pushing for consumers to see the unlimited potential of its Bixby digital assistant, which it intends to roll out to a wide range of its products this year. Samsung has this big plan of establishing a united ecosystem for its IoT offerings, and the company wants Bixby to have a big role in the implementation of its plan. By bringing Bixby to its refrigerators, TVs and even to its new car solutions, Samsung is setting the mood for the powerful IoT platform it envisions for its customers. The IoT platform that Samsung wants its consumers to enjoy is one that simplifies the daily life.

The Angle: Human Barriers Edition


It works, though: The president has been embarrassing himself in public by making claims about his own intelligence, Will Saletan writes. At the same time, his White House has quietly been making policy breakthroughs, Jamelle Bouie adds--so it may not matter much how bad the president looks.

[P] Explaining Neural Network Predictions (Open Source) • r/MachineLearning


For attractiveness the moderators were given 3 choices: hot, neutral, and not. We trained the classifier with those 3 categories and the score is a linear combination of the softmax probabilities for each bucket. We tried our best to eliminate bias but i'm sure it still exists based on the human input.

How to Run Large-Scale Educational Workshops in Deep Learning & Data Science


Pulling together deep learning workshops for a large number of students, however, can be a time consuming, error prone, and costly exercise. Furthermore, technical issues with the environment setup and compatibility problems during the workshops impede learning and cause student dissatisfaction. These workshops typically have participants bring their laptops and have them download and install new software. However, with the wide range of laptop platforms (Windows, Mac, Linux), numerous configurations, and version conflicts with existing software, workshops can become frustrating both for presenters and attendees. The RAM and disk space available on laptops and their lack of GPUs affect the types of hands-on labs that can be offered, as deep learning workshops benefit heavily from specialized hardware such as GPUs.

Artificial Intelligence set to dominate Lexology


How can AI impact Cybersecurity? As more companies rely on IT systems in their infrastructure, the threat of a cybersecurity breach and the damage it can cause is fast growing. The number of devices and amount of data businesses are required to analyse in order to detect and prevent cybersecurity attacks is increasing at a much faster rate than trained personnel are becoming available to manually analyse such data. As a result there is a noticeable gap between what the industry needs in order to avoid more advanced cyberattacks and the number of skilled personnel available to join the fight. AI, and more particularly machine learning, makes the possibility of autonomous security systems a reality.

The Convergence of AI and Blockchain: What's the deal?


In the previous section, we quickly touched upon the effects that AI might eventually have on the blockchain. Now instead, we will make the opposite exercise understanding what impact can the blockchain have on the development of machine learning systems. In spite of all the benefits that AI will receive from an interaction with blockchain technologies, I do have one big question with no answer whatsoever. AI was born as in an open-source environment where data was the real moat. With this data democratization (and open-source software) how can we be sure that AI will prosper and will keep being developed?

How AI is Reshaping HPC - insideHPC


Karl Freund is an HPC and AI analyst at Moor Insights. In this video from the NVIDIA booth at SC17, Karl Freund from Moor Insights presents: How AI is Reshaping HPC. "Researchers have begun putting Machine Learning to work solving problems that do not lend themselves well to traditional numerical analysis, or that require unaffordable computational capacity. This talk with discuss three primary approaches being used today, and will share some case studies that show significant promise of lower latency, improved accuracy, and lower cost." Karl Freund has spent his career leading organizations in the server and semiconductor industries, working at HPE, IBM, CRAY, SGI, Calxeda, and AMD.

CES 2018: LG TVs Get Smarter With AI


Ahead of CES 2018, LG has unveiled its ThinQ artificial intelligence (AI) hardware and new advanced image processor, to be embedded within its latest range of OLED and SUPER OLED TVs. ThinQ will enable LG TVs to handle "hundred of voice requests" via the company's own smart platform, and third-party AI services. With the new AI functionality incorporated within its TVs, consumers can now speak directly into their remote control. LG's ThinQ will also be the basis for a'smart home hub', providing access to other smart home products, such as robo vacuums, smart lights and smart speakers (i.e. The company's new Alpha 9 processor will power LG's latest range of OLED TV, taking image quality to the next level.

TD Bank acquires Toronto artificial intelligence startup Layer 6 AI - Article - BNN


Toronto-Dominion Bank (TD.TO) is acquiring artificial intelligence startup Layer 6 AI for an undisclosed amount as financial services companies increasingly look to tap the technology's potential. Canada's largest bank by assets has been looking to build up its capabilities in AI for some time, said Michael Rhodes, group head of innovation, technology and shared services. "The mass amounts of data with increases in computing power really give rise to the ability for machine learning, or artificial intelligence, to really play a much more prominent role," he said. Toronto-based Layer 6, which launched in late 2016, uses AI in its platform to analyze various forms of data to learn and anticipate an individual customer's needs. Layer 6 will retain its brand name and separate office in Toronto's Yorkville area, but TD will become its sole client and customer, said Rhodes.