There's a lot of chatter about chatbots these days and how we might be able to use them in the future. The biggest question seems to be whether chatbots can be useful enough to convincingly replace human conversation. Before chatbots can reach that point, they'll need to develop and mature into a technology that enables human communication with a computer using natural language. Most bots today are not at the level where they can flawlessly replicate conversation. Some chatbots today are not fed enough data.

Not content with helping cure cancers and winning Jeopardy, Watson wants to get inside our heads and our homes, whispering instructions into our wireless headsets and helping us do our laundry. IBM will work with appliance maker Whirlpool, TV and camera company Panasonic, wireless headphone designer Bragi and Withings owner Nokia to add Watson's cognitive computing capabilities to their products, the company said. Those cognitive capabilities could help devices talk with one another, or with us. For example, a washing machine could tell a dryer what program to use for the clothes it has just washed, or tell its owner when to order more detergent. Computer vision techniques could help security cameras distinguish between friends and strangers or identify suspicious activity.

Mr. Robot didn't have to imagine a new device for last week's episode. The phone used to tap into a certain Dark Army's conversation is a product from Pwnie Express, a Boston-based startup focused on device threat detection. For Pwnie Express, the device called the Pwn Phone allows anyone to test for vulnerabilities within wired, wireless and Bluetooth networks. There are more than 100 open source testing tools built into an Android phone, which retails for 1300. Robot' just revealed its latest mind-bending twist, but this one feels a bit familiar Pwnie Express specializes in making its penetration testing equipment look like air fresheners, power strips, and for the case of the Pwn Phone, a regular cell phone.

Apple haters have always made the case that the company's massive success is as much the product of marketing and salesmanship as it is any kind of technical innovation. Whatever else Apple cofounder Steve Jobs was, he was the consummate salesman. Maybe the original iPhone could have sold itself back in 2007, but Jobs' legendary introductory event definitely helped. But the world has changed. As smartphone innovation seems to have plateaued, the tech giants of the world, notably Google, Microsoft, and Facebook, have doubled down on machine learning and artificial intelligence -- the trendy technology that's making for smarter, more personalized apps and devices.

Today, a lot of high-profile deep machine learning projects in the cloud are powered by GPUs; specifically NVIDIA GPUs. Even Facebook uses them for its own machine learning work behind-the-scenes. GPUs are able to handle the massive amounts of computing power required to train deep neural networks that facilitate these projects. But Huawei deputy chairman and rotating CEO Eric Xu believes the future of machine learning lies in dedicated processors. Read on to find out more. In the past few years, NVIDIA has made a big push to dethrone CPUs in the deep machine learning space.

In this special guest feature, Victor Amin, Data Scientist at SendGrid, advises that businesses implementing machine learning systems focus on data quality first and worry about algorithms later in order to ensure accuracy and reliability in production. After graduating cum laude from Princeton University, Victor earned a PhD studying applications of machine learning to quantum chemistry at Northwestern University. At SendGrid, Victor builds machine learning models to predict engagement and detect abuse in a mailstream that handles over a billion emails per day. It's obvious that you need data before you can implement a machine learning system, but project planners often overlook questions regarding training set collection, cleaning, and maintenance. There are so many sources of big data in today's business systems that it seems like getting enough of the right data ought to be easy!

How will the Artificial Intelligence will affect our life by 2030? News digest – obesity in primary schools, the Crick, artificial intelligence and… Tasmanian devils?

We've had robots building cars on assembly lines way before they could drive them. Likewise, marketers have so far been able to automate basic repeatable tasks but the creative or strategic parts of marketing – which include content – have benefited only minimally from advancements in automation. It's only now that they can finally start to turn to artificial intelligence (AI) systems to help them not just work faster but also work smarter. Twenty plus years ago, I created a machine-learning neural network that was designed to predict which stocks were most likely to rise in the next 12 months. The bot – though we didn't call it that at the time – crunched thousands of data points on stock performance, company financials and economy trends to learn correlations that no human beings could establish. In reality, I'm not sure what the system really understood but I did.

Apple's Siri upgrades will let you dictate LinkedIn messages, verbally search for shoe photos on Pinterest, and hail an Uber, hands-free. When Apple unveils its new iPhone Wednesday, it's expected to push hard on software improvements available for its next mobile operating system, iOS 10, available for current iPhones and a predicted new iPhone model. The iPhone's voice-activated digital assistant Siri will be a key part of this upgrade, say tech analysts and developers. Siri, primarily used for voice commands to dial phone numbers, set reminders and get traffic information, has been opened to third-party developers after five years of existence. Apple, via a spokeswoman, said app developers are creating "completely new ways for users to interact" within apps.

Today on In Case You Missed It: Google's Tensor Flow machine learning technology helped create a device to sort through massive amounts of cucumbers at a farm in Japan, sorting the vegetables by quality grade so that humans don't have to do it manually. Meanwhile, an Australian scientist created an ink that changes colors when exposed to sunlight, which could theoretically help people from getting a sunburn. We also touched on the new internet-connected pet toy from Acer and rounded up the biggest headlines of the week for you in TL;DR. Be sure to check out IBM Watson's movie trailer and read about SpaceX's rocket explosion. As always, please share any interesting tech or science videos you find by using the #ICYMI hashtag on Twitter for @mskerryd.