This op-ed was originally published in Newsweek on November 20, 2019. At least to some extent in last Wednesday's Democratic debate, and more so in the earlier ones, candidates have offered soundbites touting crowd-pleasing "silver bullet" proposals to raise earnings and reduce inequality among US workers. To improve workers' skills, Bernie Sanders and Elizabeth Warren call for free college for all. To raise wages, many call for a rapid increase in the federal minimum wage to $15 an hour as well as resurgent unionism. And Andrew Yang continues to call for "universal basic income" in response to potentially large-scale job displacement from automation.

Confirm your CANCELLATION in writing up to 15 working days before the event and receive a refund less a 10% service charge. Regrettably, no refunds can be made for cancellations received less than 15 working days prior to the event. However, SUBSTITUTIONS are welcome at any time and is done at no extra cost. The organisers reserve the right to amend the programme if necessary. Important Disclaimer:The organizers reserve the right to make substitutions or alterations and/or cancel a speaker(s) if deemed necessary by circumstances beyond its control. INDEMNITY: Should for any reason outside the control of UNICOM Training & Seminars (P) ltd (hereafter called UNICOM), the venue or the speakers change, or the event be cancelled due to industrial action, adverse weather conditions, or an act of terrorism, UNICOM will endeavour to reschedule, but the client hereby indemnifies and holds UNICOM harmless from and against any and all costs, damages and expenses, including attorneys fees, which are incurred by the client.

As part of Stanford's ongoing 100-year study on artificial intelligence, known as the AI100, two workshops recently considered the issues of care technologies and predictive modeling to inform the future development of AI technologies. A Stanford-led artificial intelligence index called the AI100 periodically assesses the state of AI technology and makes predictions for the next century. "We are now seeing a particular emphasis on the humanities and how they interact with AI," said Russ Altman, Stanford professor of engineering and the faculty director of the AI100. The AI100 is project of the Stanford Institute for Human-Centered Artificial Intelligence. After the first meeting of the AI100, the group planned to reconvene every five years to discuss the status of the AI industry.

Massachusetts State Police (MSP) has been quietly testing ways to use the four-legged Boston Dynamics robot known as Spot, according to new documents obtained by the American Civil Liberties Union of Massachusetts. And while Spot isn't equipped with a weapon just yet, the documents provide a terrifying peek at our RoboCop future. The Spot robot, which was officially made available for lease to businesses last month, has been in use by MSP since at least April 2019 and has engaged in at least two police "incidents," though it's not clear what those incidents may have been. It's also not clear whether the robots were being operated by a human controller or how much autonomous action the robots are allowed. MSP did not respond to Gizmodo's emails on Monday morning.

Amazon is rolling out new features that make it easier for customers to search for specific items in large databases of images and videos. The tech giant said Monday it will make "Custom Labels" available next month, allowing Rekognition users without any machine learning experience to deploy the software more nimbly. Custom Labels allow customers to train Rekognition to detect specific objects and scenes related to their use case. For example, a retailer who wants to identify all of the black boots in her online inventory could train the software with images of shoes that meet that description, so that it can detect them in a larger library of images. That type of custom sorting previously required machine learning expertise to build a model from scratch, an Amazon spokesperson said.

Additional IP now available from Renesas Electronics includes a 7nm process ternary content addressable memory (TCAM) and standard Ethernet time sensitive networking (TSN) IP. Customers will have access to IPs such as advanced 7nm (nanometer) SRAM and TCAM, and leading-edge standard Ethernet time-sensitive networking (TSN) IP, says the company, which is also working on providing a system IP which includes processing in memory (PIM) for use as an artificial intelligence (AI) accelerator. Customers can use these IPs to jump start semiconductor device development projects, such as the development of next-generation AI chips or ASICs for 5G networks. Customers developing custom chips can leverage the IP in the subsystem, or those using FPGA devices can use it to speed up software development while they focus resources on specialty areas to reduce development time. Customers who prefer to use existing software assets can take advantage of Renesas IP assets to achieve more efficient system development by reducing the resources required to develop, verify and evaluate software and boards.

DUBAI: We live in an age in which talking to a machine is no longer a futuristic concept. Many activities and fields are being shaped by innovations in artificial intelligence (AI) and technology, a phenomenon that is fundamentally altering the nature of human interaction, consumption of information and, more controversially, the nature of employment. Adoption of innovations such as voice recognition, virtual agents and biometrics could be the only way for humans to survive in the coming age of automation. Amid the surge in human-machine cooperation, many people nevertheless are eager to find out what the future holds. Will robots outsmart humans and steal their jobs?

The update shares an announcement from the United States Patent and Trademark Office ("USPTO") and provides important details regarding a second Federal Register Notice on AI and innovation building upon the earlier request for comments focused on the impact AI poses for patent law and policy. The Ocean Tomo AI Report Update contains important details regarding the window of opportunity to respond to the notice as well as sample questions included in the notice. You can request a copy of the study update here. Ocean Tomo Industry Analyst Reports provide a comprehensive look at current industry trends and deal activity in several technology areas. As a financial advisor with a focus on technology and intellectual property (IP), Ocean Tomo has gained unique insights related to the intellectual property driving the development of a variety of technology areas.

The update shares an announcement from the United States Patent and Trademark Office ("USPTO") and provides important details regarding a second Federal Register Notice on AI and innovation building upon the earlier request for comments focused on the impact AI poses for patent law and policy. The Ocean Tomo AI Report Update contains important details regarding the window of opportunity to respond to the notice as well as sample questions included in the notice. You can request a copy of the study update here. Ocean Tomo Industry Analyst Reports provide a comprehensive look at current industry trends and deal activity in several technology areas. As a financial advisor with a focus on technology and intellectual property (IP), Ocean Tomo has gained unique insights related to the intellectual property driving the development of a variety of technology areas.

In reality, there is nothing artificial about these algorithms or their intelligence, and the term "AI" is a mystification! The term that describes the reality is "Human-Trained Machine Learning", in today's mad scramble to train these algorithms to mimic human intelligence and brain functioning. In the techie magazine WIRED, October 2018, we meet a pioneering computer scientist, Fei-Fei LI, testifying at a Congressional hearing, who underlines this truth. She said, "Humans train these algorithms" and she talked about the horrendous mistakes these machines make in mis-identifying people, using the term "bias in--bias out" updating the old computer saying, "garbage in--garbage out". Professor LI described how we are ceding our authority to these algorithms to judge who gets hired, who goes to jail, who gets a loan, a mortgage or good insurance rates -- and how these machines code our behavior, change our rules and our lives.