Five people familiar with Apple’s car project, code-named “Titan,” discussed with The New York Times the missteps that led the tech giant to move — at least for now — from creating a self-driving Apple car to creating technology for a car that someone else builds.
The project’s reduced scale aligns Apple more closely with other tech companies that are working on autonomous driving technology but are steering clear of building cars. Even Waymo, the Google self-driving spinoff that is probably furthest along among Silicon Valley companies, has said repeatedly that it does not plan to produce its own vehicles. Including in this scale-back is a self-driving campus shuttle which takes employees from one building to another.
Keith Speights has always been fascinated by AI. To put it to the test, he built an AI system for investment recommendations. He created a relatively simple network that received financial input. This input included price, earnings, and valuation history for the S&P 500 index.
The system had more confidence in being in stocks when the market was going down and less confidence when the market was going up. He says that that’s basically what Warren Buffett had in mind when he said to “be fearful when others are greedy and greedy when others are fearful.” For an opposing view, have a look at this article by Jonathan Kinlay.
Microsoft made a splash in the world of dedicated AI hardware today when it unveiled a new system for doing high-speed, low-latency serving of machine learning models. The company showed off a new system called Brainwave that will allow developers to deploy machine learning models onto programmable silicon and achieve high performance beyond what they’d be able
to get from a CPU or GPU.
“We call it real-time AI because the idea here is that you send in a request, you want the answer back,” said Doug Burger, a distinguished engineer with Microsoft Research. “If it’s a video stream, if it’s a conversation, if it’s looking for intruders, anomaly detection, all the things where you care about interaction and quick results, you want those in real time,” he said.
The world’s largest retailer has applied for a US patent for a floating warehouse that could make deliveries via drones, which would bring products from the aircraft down to shoppers’ homes. An unmanned airborne warehouse — laden with drones — could help retailers lower the costs of fulfilling online orders, particularly the so-called “last mile” to a customer’s house
The blimp-style machine would fly at heights between 500 feet and 1,000 feet (as much as 305 meters), contain multiple launching bays, and be operated autonomously or by a remote human pilot. Amazon was granted a patent for a similar vessel in April 2016. In other news, Walmart and Google are teaming up to take on Amazon’s voice ordering.
In this episode of the O’Reilly Data Show, Ben Lorica spoke with Robert Nishihara and Philipp Moritz, graduate students at UC Berkeley and members of RISE Lab. He wanted to get an update on Ray, an open source distributed execution framework that makes it easy for machine learning engineers and data scientists to scale reinforcement learning and other related continuous learning algorithms.
Highlights include tools for reinforcement learning and scaling machine learning in dynamic environments.
Yesterday, Samsung announced that Bixby’s voice capabilities have expanded to more than 200 countries and territories worldwide, allowing millions of consumers to experience a smarter way to interact with their phones. In addition to South Korea and the United States, consumers in countries across the world, including the UK, Australia, Canada and South Africa, will be able to utilise the intelligent interface to help them get things done faster and easier.
Currently available in US English and Korean (VentureBeat picks up on this lag in languages), Bixby brings enhanced smartphone productivity and personalisation through Quick Commands, a feature that allows you to easily create a custom voice command to use in place of a sequence of one or more commands. For example, you can use the command “good night” as a shortcut for “Turn on Do-not-disturb mode, set an alarm for 6:00 AM and turn on blue light filter.”
Databricks, a big data analytics platform built by a team that grew out of the Apache Spark project, announced that it has raised a $140 million Series D round led by Andreessen Horowitz, with participation from New Enterprise Associates and Battery Ventures. This brings Databricks’ total funding raised to date to $247 million, which includes a $60 million round the
company announced only last December.
“AI has enormous promise but also a 1% problem,” CEO Ali Ghodsi noted in yesterday’s announcement.”Less than 10 companies in the world are achieving the full potential of AI and the rest are really struggling. Databricks’ mission is to simplify AI and bring it to the other 99% of enterprise organizations. This funding will enable us to expand our offering and bring it to many more markets, enabling more businesses to reap the benefits of Big Data and AI.”
The first event of its kind, the demand for the Summit has arisen from developments in the Chinese and British AI space. Use Code COGXCBBF40 for 40% discount valid until the 10th of September. For tickets and more info, click here.
The Summit will deliver panel discussions covering investment and opportunities, AI ethics and social implications, AI landscape in China and the UK as well as the role of AI/smart technologies in China’s Belt and Road Initiative. Expert speakers include Healthcare Executive from IBM Watson, VP Investment Banking from Haitong Bank, Former Director Apple Education Asia Nth, General Manager from CRRC UK, General Counsel APAC from The British Standards Institution, and more.