Yahoo CEO Marissa Mayer delivers the keynote address at the Yahoo Mobile Developer Conference in San Francisco on Feb. 18, 2016. SAN FRANCISCO -- The news of the day was about Yahoo's latest quarterly earnings, but inquiring minds were riveted on bidding for the company's core Internet business. Yahoo CEO Marissa Mayer on Tuesday didn't tell curious analysts and the media much, making it clear she wouldn't detail the initial bids for the embattled company or how Yahoo's business trajectory beyond this year impacts that process. But if first quarter results are any indication, the future isn't bright. Yahoo reported 859 million in adjusted revenue, down 17% from 1.04 billion in 2015, and compared to 1.09 billion in 2014.

If you thought you were good at badminton, then step aside and take a look at this robot champion hit a few shots against a human competitor in China. Scientists developed the robot which is modelled to play against an actual person and is being sold as a good alternative player if you're lacking a badminton playing buddy. The playmate was produced by scientists in Chengdu and unveiled at a tournament in southern China's Shenzhen City. Cool! Dubbed the Robomintoner, the machine took part in an amateur badminton competition on April 16 As the footage shows, the robot is the ultimate badminton playing partner. Dubbed the Robomintoner, the machine took part in an amateur badminton competition on April 16.

Machine learning is a subset of the field of computer science known as artificial intelligence (AI), which seeks to simulate the workings of a human brain. Machine learning is a form of programming, where the software improves its response after learning from previous responses, rather than following only scripted responses. Nascent forms of machine learning first emerged some 20 years ago. The most modern form is "deep learning", which tries to model the neural networks of the human brain by identifying millions of patterns in large datasets to predict the next outcome. It plays an important role in big data analytics and is currently the rage in machine-learning research, given the accessibility of big data and computational power.

Malware has proven increasingly difficult to detect via signature or heuristic-based methods, which means most Antivirus (AV) programs are woefully ineffective against mutating malware, and especially ineffective against APT attacks (Advanced Persistent Threats). Typical malware consists of about 10,000 lines of code. Five to six years ago marked the beginning of the use of machine learning to solve non-linear problems such as facial recognition or understanding malware, and what features one needs to extract to uniquely identify such programs. Other techniques, such as sandboxing and machine-based techniques, are not as fast nor as accurate as Deep Learning. Deep Instinct, founded by Guy Caspi and Eli David, Israeli Defense Force Cybersecurity veterans, applies artificial intelligence Deep Learning algorithms to detect structures and program functions that are indicative of malware.

High performance DAQMAG2A Rugged Display Computer: High performance DAQMAG2A Rugged Display Computer from GE's Intelligent Platforms business are designed to minimize cost, risk and time-to-market for prime contractors, systems integrators and OEMs developing sophisticated video capture, processing and transmission applications with multiple inputs and outputs, it is qualified to the DO-160G Environmental Conditions and Test Procedures for Airborne Equipment standard. The DAQMAG2A Line Replaceable Unit (LRU) has already been successfully deployed by AgustaWestland on the AW189 and AW101 helicopters and by FLIR Systems Inc.GE's Intelligent Platforms business (NYSE: GE) is headquartered in Charlottesville, VA and part of GE Energy Management. The company's work in the military/aerospace segment, headquartered in Huntsville, AL, and Towcester, England, provides one of the industry's broadest ranges of high performance, rugged, SWaP-optimized embedded computing platforms. Backed by programs that provide responsive customer support and minimize long term cost of ownership for multi-year programs, GE's solutions are designed to help customers minimize program risk and cost, and to speed time-to-market. The high TRL (Technology Readiness Level 9) of the DAQMAG2A means systems integrators can select it with confidence to concentrate on solving more important challenges such as integration into the higher level system, application development/port and so on.

Almost 30 years ago I stood on the steps of a converted Armenian dance hall in Cambridge, Massachusetts, about to start my first day at an MIT startup called Gold Hill Computers. They were the first company to develop software that enabled companies to build expert systems applications on a PC platform. The focus in the 1980s for AI was on industries such as aerospace and defense, computer-aided design and engineering, software engineering, financial services, manufacturing, medicine and science. Never at that point in time did I consider that algorithms could be applied to my own profession in communications. And yet that is just what has happened.

This time last year Steve Wozniak was sounding a cautionary note about the future of Artificial Intelligence (AI), warning that computers would one day take over from humans and joking that we might even end up as their pets. In a recent interview with Australia's ABC TV's Lateline the engineering genius appeared more sanguine about the future of self-aware, super-intelligent Artificial Intelligence and much more concerned with the real world killer robots that are all but with us: Lethal Autonomous Weapon Systems (LAWS). The Apple co-founder maintains that human-level Artificial Intelligence won't happen for "a very long time": It might take 200 years before they are really fully able to operate all of their needs in the world, until then they're going to need human beings … I'm not really worried at all. It's very scary to make autonomous weapons that are just following some programmed set of instructions … even when you're driving a car there is no one set of rules … if a lane is closed off you have to do something against the rules … I don't think it's a good idea at all. I don't think we can really stop it.

"Sales and revenue generation are as a result of human interaction; it is that human interaction that is changing" – when asked to keynote speeches on the subject of technology in sales and marketing this is often a quote that gets a lot of heads nodding- it is very pertinent in this discussion too. This is due to the fact that I believe, ultimately, there will be little human interaction in certain real estate transactions in the future; some and future being the key points. Could there really be a possibility that artificial intelligence and real estate could work together? Which elements and when are pivotal to the debate and I hope to cover a few here. Ultimately it is my belief that in the near future the real estate industry could be automated and run algorithmically. However, it is important, from the outset to distinguish between automation and the more challenging theory of machine learning which is a term often used to describe Artificial Intelligence.

Business documents written in foreign languages are no longer the problem they once were thanks to technologies like Google Translate, but what about contracts written in legalese? That's where LawGeex hopes to help with an AI-based online tool. LawGeex offers what it calls the world's first contract review platform based on artificial intelligence. The goal, it says, is to help businesses and individuals "get a fair deal" before signing an agreement. Toward that end, it combines machine-learning algorithms with crowdsourced data, text analytics, and the knowledge of expert lawyers to make in-depth contract reviews accessible to everyone.

Humans have always had a complicated relationship with new "technologies." From awe to fear, centuries ago, Plato even worried that writing would adversely affect people's memories. Modernity has had a particular curiosity regarding artificial intelligence (AI). From Terminator-style killer robots to emotive humanoids, the mention of AI brings to mind the many silver screen renderings of some future civilization. More likely than any of these, however, is the reality that AI will probably turn out to be another commonplace technology that, while novel at first, will end up integrated into our everyday lives.