Apple's Shortcuts app can quickly and easily run a host of tasks on your Apple Watch or iOS or iPadOS device. Here's how to create and use shortcuts for Siri.

QuickBooks Online Payroll bets big on machine learning and automation to expand small to midsize business payroll options.

No more copying and pasting tasks from email to your to-do list or chasing after customers via email. Zapier can automate these tasks and many others, too. Here's how.

Among 231 children with confirmed encephalitis, we found higher-than-expected prevalence of WNV, Bartonella spp, and autoimmune disease despite infrequent testing.

While few auto component manufacturers in the green zone are planning to restart operations, others operating in orange zones are seeking permission to resume their work again. Needless to say, those...

Auto production in Mexico and Brazil, Latin America's top producers, plunged by an unprecedented 99% in April as a result of the coronavirus crisis, with the two countries building a total of just...

Following the start of production in April, capacity has been increased with a target to produce 3 million masks per month across two lines, with over 1 million masks manufactured in the first 10 days...

Using AI and machine learning capabilities, the system can be further trained to respond like a professional.

Consumers are looking at spending cautiously, but they have not stopped their purchases.

The Argentina national team jersey signed by Diego Maradona is being raffled to those who have given donations in an initiative that has collected hygiene products, masks and around 100 kilograms of...

Agency: GSS Closing Date: 5/14/2020

Agency: GSS Closing Date: 5/14/2020

SAS' Leonid Batkhan shows you how to automate creation of SAS variable labels so tables and reports are easier to read.

Automating SAS variable labels creation was published on SAS Users.

DEPARTMENT OF INSURANCE: Office of the Commissioner

Delay in local clearances, incomplete supply chain and closure of front-end sales, key reason for firms in a wait and watch mode

SAS' Leonid Batkhan shows you how to automate creation of SAS variable labels so tables and reports are easier to read.

Automating SAS variable labels creation was published on SAS Users.

Premium paybacks, elimination of commercial exemptions during COVID-19 praised by Commissioner Trinidad Navarro Automobile insurers in Delaware are taking a number of consumer-friendly actions in light of COVID-19, the Delaware Department of Insurance announced today. On Monday, Allstate announced it would embark on a premium payback program resulting in $1.5 million going back to Delaware […]

Specific steps will be taken to keep the workforce healthy and organisational provisions to prevent the spread of COVID-19 in the workplace. Production at our three Skoda Auto Czech sites has been suspended since 18 March 2020.

This apparatus can be used to sanitize the seats of cars, taxis, ambulances, goods vans, buses, flights, trains, and could even sanitize elevators, etc.

We have picked out a bunch of the most affordable hatchbacks that you can buy under 6 lakh and with an automatic transmission.

The Skoda warranty extension applies worldwide to all Skoda vehicles, with the exception of vehicles produced in China or for the Chinese market.

In part one of this blog series, we introduced the automation of AI (i.e., artificial intelligence) as a multifaceted and evolving topic for marketing and segmentation. After a discussion on maximizing the potential of a brand's first-party data, a machine learning method incorporating natural language explanations was provided in the context [...]

SAS Customer Intelligence 360: Automated AI and segmentation [Part 2] was published on Customer Intelligence Blog.

In parts one and two of this blog series, we introduced the automation of AI (i.e., artificial intelligence) and natural language explanations applied to segmentation and marketing. Following this, we began marching down the path of practitioner-oriented examples, making the case for why we need it and where it applies. [...]

SAS Customer Intelligence 360: Automated AI and segmentation [Part 3] was published on Customer Intelligence Blog.

Excitement levels are high for the March 2020 release of SAS Customer Intelligence 360, which includes multiple years of research and development culminating in enhancements to the platform's underlying data model. The changes will introduce the unification of a comprehensive data model recording both: Customer behavior -- what users are [...]

SAS Customer Intelligence 360: Unified data model, marketing attribution and AutoML was published on Customer Intelligence Blog.

The Venue and the Nexon follow two separate approaches when it comes to tackling the sub-4m SUV space. One has a lot of features and a feel-good factor while the second one is the best its maker churns out and has got better daily usability. Which one is our choice? Lijo finds it out.

Datsun’s Go as well as Go+ models have now received a CVT option. These come in the top trim and boast a slightly higher fuel efficiency compared to their manual counterparts or at par. How are they to drive? Take a look at our video.

Isuzu has attempted to make their D-Max V-Cross pick-up truck easier to live with by adding a new refined engine, an automatic gearbox and some added features. But has it worked?

Tata Motors has finally given the Harrier an automatic transmission option. The Kryotec diesel engine has been given a 30hp boost with the BS6 upgrade and it also gets a massive panoramic sunroof. But is that all Tata has done with the Harrier for the 2020 model year? are there any more changes? we drive […]

  When I recently got an Android device, the first thing that I did was install lots of applications on it. Later, when I was out, I kept my device connected to the internet on my 3G connection and didn...

   Introduction Playing with small civilian drones is fun. Building them is even better! For those of you who are interested in developing your own “smart” drone, this article provides...

At least 13 states hike VAT on petrol/diesel since mid-March, many make liquor costlier with new imposts.

The Volvo XC90 SUV presented this week is the first production car that in combination with Uber’s self-driving system is capable of fully driving itself.

How can the budget help ensure sustainable growth for auto industry

Becoming the youngest country also means that the demand for jobs will see a substantial growth, thus amplifying the challenges in the job market.

One of the reasons is bunching together of several regulatory changes announced by the government in a very short span of time without realising their full implication, a classic case of ‘reform for reform’s sake’.

The next-generation Hyundai Creta will get a completely revised exterior and interior design. Not only this but the engine line-up of this compact SUV will also undergo a complete transformation.

EDA investor and former executive Jim Hogan is optimistic about automotive electronics, but he has some concerns as well. At the recent Design Automation Conference (DAC 2015), he delivered a speech titled “The Looming Quality, Reliability, and Safety Crisis in Automotive Electronics...Why is it and what can we do to avoid it?"

Hogan gave the keynote speech for IP Talks!, a series of over 30 half-hour presentations located at the ChipEstimate.com booth. Presenters included ARM, Cadence, eSilicon, Kilopass, Sidense, SilabTech, Sonics, Synopsys, True Circuits, and TSMC. Held in an informal setting, the talks addressed the challenges faced by SoC design teams and showed how the latest developments in semiconductor IP can contribute to design success.

Jim Hogan delivers keynote speech at DAC 2015 IP Talks!

Hogan talked about several phases of automotive electronics. These include assisted driving to avoid collisions, controlled automation of isolated tasks such as parallel parking, and, finally, fully autonomous vehicles, which Hogan expects to see in 15 to 20 years. The top immediate priorities for automotive electronics designers, he said, will be government regulation, fuel economy, advanced safety, and infotainment.

More Code than a Boeing 777

According to Hogan, today’s automobiles use 50-100 microcontrollers per car, resulting in a worldwide automotive semiconductor market of around $40 billion. The global market for advanced automotive electronics is expected to reach $240 billion by 2020. Software is growing faster in the automotive market than it is in smartphones. Hogan quoted a Ford vice president who observed that there are more lines of code in a Ford Fusion car than a Boeing 777 airplane.

One unique challenge for automotive electronics designers is long-term reliability. This is because a typical U.S. car stays on the road for 15 years, Hogan said. Americans are holding onto new vehicles for a record 71.4 months.

Another challenge is regulatory compliance. Aeronautics is highly regulated from manufacturing to air traffic control, and the same will probably be true of automated cars. Hogan speculated that the Department of Transportation will be the regulatory authority for autonomous cars. Today, automotive electronics providers must comply with the ISO26262 automotive functional safety specification.

So where do we go from here? “We’ve got to change our mindset,” Hogan said. “We’ve got to focus on safety and reliability and demand a different kind of engineering discipline.” You can watch Hogan’s entire presentation by clicking on the video icon below, or clicking here. You can also watch other IP Talks! videos from DAC 2015 here.

https://youtu.be/qL4kAEu-PNw

Richard Goering

Related Blog Posts

DAC 2015: See the Latest in Semiconductor IP at “IP Talks!”

Automotive Functional Safety Drives New Chapter in IC Verification

Autonomous vehicles are coming. In a statistic from the U.S. Department of Transportation, about 37,000 people died in car accidents in the United States in 2018. Having safe, fully automatic vehicles could drastically reduce that number—but the trick is figuring out how to make an autonomous vehicle safe. Internet-enabled systems in cars are more common than ever, and it’s unlikely that the use of them will slow or stop—and while they provide many conveniences to a driver, they also represent another attack surface that a potential criminal could use to disable a vehicle while driving.

So—what’s being done to combat this? Green Hills Software is on the case, and they explained the landscape of security in automotive systems in a presentation given by Max Hinson in the Cadence Theater at DAC 2019. They have software embedded [FS1] in most parts of a car, and all the major OEMs use their tech. The challenge they’ve taken on is far from a simple one—between the sheer complexity of modern automotive computer systems, safety requirements like the ISO 26262 standard, and the cost to develop and deploy software, they’ve got their work cut out for them. It’s the complexity of the systems that represents the biggest challenge, though. The autonomous cars of the future have dynamic behaviors, cognitive networks, require security certification to at least ASIL-D, require cyber security like you’d have on an important regular computer system to cover for the internet-enabled systems—and all of this comes with a caveat: under current verification abilities, it’s not possible to test every test case for the autonomous system. You’d be looking at trillions of test cases to reach full coverage—not even the strongest emulation units can cover that today.

With regular cars, you could do testing with crash-test dummies, and ramming the car into walls at high speeds in a lab and studying the results. Today, though, that won’t cut it. Testing like that doesn’t see if a car has side-channel vulnerabilities in its infotainment system, or if it can tell the difference between a stop sign and a yield sign. While driving might seem simple enough to those of us that have been doing it for a long time, to a computer, the sheer number of variables is astounding. A regular person can easily filter what’s important and what’s not, but a machine learning system would have to learn all of that from scratch. Green Hills Software posits that it would take nine billion miles of driving for a machine learning system of today’s caliber to reach an average driver’s level—and for an autonomous car, “average” isn’t good enough. It has to be perfect.

A certifier for autonomous vehicles has a herculean task, then. And if that doesn’t sound hard enough, consider this: in modern machine-vision systems, something called the “single pixel hack” can be exploited to mess them up. Let’s say you have a stop sign, and a system designed to recognize that object as a stop sign. Randomly, you change one pixel of the image to a different color, and then check to see if the system still recognizes the stop sign. To a human, who knows that a stop sign is octagonal, red, and has “STOP” written in white block letters, a stop sign that’s half blue and maybe bent a bit out of shape is still, obviously, a stop sign—plus, we can use context clues to ascertain that sign at an intersection where there’s a white line on the pavement in front of our vehicle probably means we should stop. We can do this because we can process the factors that identify a stop sign “softly”—it’s okay if it’s not quite right; we know what it’s supposed to be. Having a computer do the same is much more difficult. What if the stop sign has graffiti on it? Will the system still recognize it as a stop sign? How big of an aberration needs to be present before the system no longer acknowledges the mostly-red, mostly-octagonal object that might at one point have had “stop” written on it as a stop sign? To us, a stop sign is a stop sign, even with one pixel changed—but change it in the right spot, and the computer might disagree.

The National Institute of Security and Technology tracks vulnerabilities along those lines in all sorts of systems; by their database, a major vulnerability is found in Linux every three days. And despite all our efforts to promote security, this isn’t a battle we’re winning right now—the number of vulnerabilities is increasing all the time.

Check back next time to see the other side: what does Green Hills Software propose we do about these problems? Read part 2 now.

If you missed the first part of this series, you can find it here.

So: what does Green Hills Software propose we do?

The issue of “solving security” is, at its core, impossible—security can never be 100% assured. What we can do is make it as difficult as possible for security holes to develop. This can be done in a couple ways; one is to make small code in small packs executed by a “safing plan”—having each individual component be easier to verify goes a long way toward ensuring the security of the system. Don’t have sensors connect directly to objects—instead have them output to the safing plan first, which can establish control and ensure that nothing can be used incorrectly or in unintended ways. Make sure individual software components are sufficiently isolated to minimize the chances of a side-channel attack being viable.

What all of these practices mean, however, is that a system needs to be architected with security in mind from the very beginning. Managers need to emphasize and reward secure development right from the planning stages, or the comprehensive approach required to ensure that a system is as secure as it can be won’t come together. When something in someone else’s software breaks, pay attention—mistakes are costly, but only one person has to make it before others can learn from it and ensure it doesn’t happen again. Experts are experts for a reason—when an independent expert tells you something in your design is not secure, don’t brush them off because the fix is expensive. This is what Green Hills Software does, and it’s how they ensure that their software is secure.

Now, where does Cadence fit into all of this? Cadence has a number of certified secure offerings a user can take advantage of when planning their new designs. The Tensilica portfolio of IP is a great way to ensure basic components of your design are foolproof. As always, the Cadence Verification Suite is great for security verification in both simulation and emulation, and JasperGold platform’s formal apps are a part of that suite as well.

We are entering a new age of autonomous technology, and with that new age we have to update our security measures to match. It’s not good enough to “patch up” security at the end—security needs to beat the forefront of a verification engineer or hardware designer’s mind at all stages of development. For a lot of applications, quite literally, lives are at stake. It’s uncharted territory out there, but with Green Hills Software and Cadence’s tools and secure IP, we can ensure the safety of tomorrow.

Looking to learn? There's a bunch of new RAKs (Rapid Adoption Kits) available online now!

1) Indago 19.09 Better Driver Tracing and More

Are you new to Indago and not sure where to start? Luckily, there’s a new Rapid Adoption Kit for you: the Indago 19.09 Overview RAK! This neat package contains everything you need to get your debugging started through Indago. In four short labs, plus a brief introductory lab, you’ll have all the basics of Indago 19.09 down—the Indago working environment, the SmartLog, how Indago interacts with the rest of the Cadence Verification Suite, and how Indago uses HDL driver tracing.

Lab 1 discusses the various debugging tools included in Indago and teaches you how to customize your Indago windows and environment settings. Lab 2 covers the SmartLog feature and talks about analyzing and filtering its messages to suit your needs, as well as how to interact with the waveform marker. Lab 3 is an interactive Indago debugging experience—it’ll walk you through how to use Indago and its features in an actual working environment: setting breakpoints, using simulator commands in the Indago console, toolbars, switches, and more. Lab 4 is all things HDL tracing—recording debug data, an introduction to debug assertions, waveform visualizations, driving expression analysis, and single-step driver tracing, among other things.

Interested? Check out the RAK here.

2) IXCOM MSIE: Faster Palladium Build Time

Got several testbenches you want to compile with the same DUT and tests and you want to do it fast? With IXCOM, all you have to do to compile those different testbenches is use the xrun command for each after compiling your DUT. But what exactly is IXCOM, and how does one start using it? This quick RAK can help—here, you’ll learn the basics of using MSIE features with IXCOM, complete with an example to get you started. Using MSIE can vastly improve your build times with Palladium and using IXCOM is the best way to shrink that tedious rebuild time as small as it can get. Check out this RAK here.

3)  JasperGold Control and Status Register Verification App Automates UVM Register Map Verification

New to the JasperGold Control and Status Register (CSR) Verification App for your UVM testbenches? Don’t worry; there’s a RAK for that! This eponymous RAK can get you up and running with this in no time, helping you automate your checks from UVM register map specs. With this RAK, you’ll learn the basics of the JasperGold CSR, how to use JasperGold CSR’s Proof Accelerator, and more. CSR features a model-based approach to predicting a register’s expected value, supports pipeline interfaces, all IP-XACT access policies, and it can fully model any expected register value. It also supports register aliases, read and write semantics, and separate read/write data latencies in any given field.

If this functionality sounds up your alley, you can take a look at this RAK here.

Imagine you are on a vacation with your family, and suddenly, your phone starts buzzing. You pick it up and what are you looking at is a bunch of pending, unanswered e-mails. You start recollecting the checklist you had made before taking off only to realize that you haven’t put on the automatic replies! (read more)

Hi all,

I am creating shapes on plane layers for a coupon and want to void them using axlShapeAutoVoid()

The shapes are attached to a symbol.

I've tried using axlShapeAutoVoid, but this only voids the pins, not the route keepouts created by nc_backdrill.

I also tried selecting the shape, individually, then running axlShapeAutoVoid. That was unsuccessful, also.

planeShapes is a list of shapes I created. The code for voiding:

;run backdrill to get route keepouts
axlShell("setwindow pcb;backdrill setup ;setwindow form.nc_backdrill;FORM nc_backdrill apply ;FORM nc_backdrill close")

foreach(sHape planeShapes
axlShapeAutoVoid(car(sHape))
)

Hi,

I've vhdl block containing fsm . IMC not able to auto extract the state machine coded like this:

There is a intermediate state state_mux  between next_state & state.

Pls. help in guiding IMC how to recognize this FSM coding style? 

Snipped of the fsm code:

----------------------------------------------------------------------------------------------------------------------------------------------

               type state_type is (ST_IDLE, ST_ADDRESS, ST_ACK_ADDRESS, ST_READ, ST_ACK_READ, ST_WRITE, ST_ACK_WRITE, ST_IDLE_BYTE);

               signal state : state_type;

               signal state_mux : state_type;

               signal next_state : state_type;

process(state_mux, start)

         begin

               next_state <= state_mux;

               next_count <= (others => '0');

           case (state_mux) is

                 when ST_IDLE => 

                            if(start = '1') then

                                 next_state <= ST_ADDRESS;

                              end if;

            when ST_ADDRESS =>

   …………….

          when others => null;

         end case;

     end process;

process(scl_clk_n, active_rstn)

               begin

                      if(active_rstn = '0') then

                           state <= ST_IDLE after delay_f;

                  elsif(scl_clk_n'event and scl_clk_n = '1') then

                             state <= next_state after delay_f;

                            end if;

end process;

process(state, start)

               begin

                     state_mux <= state;

               if(start = '1') then

                       state_mux <= ST_IDLE;

                              end if;

               end process;

Thanks

Raghu

Here are two screen capture of Before and After Autorouting my board. Padstacks have all been revised and corrected. The Capture Schematic is correct. All Footprints have been verified after Padstack revision. a new NETLIST generation have been done after some corrections made in Capture. I have imported the new Logic. I revised my Layout Cross Section as such: TOP, GND, VCC, BOTTOM. Both VCC and GND shapes have been assigned to their respective logical GND and VCC Nets (verified). Yet, I still have the Autorouter to systematically use extra vias to make GND and VCC connections to the VCC and GND planes. Where a simple utilisation of the part padstack inner layer would have been indicated. What Im I missing ?

Question for forum:

I’m currently working on a code to automatically add CLP files to DRA files and then add two classes called “APPROVED” and “CLP”. To do this manually you have to open a DRA file, click file import subdrawing and choose the clp file with the same name as dra. (path already set). You then set the clp to position x 0 0. And then click on Set Up > Subclasses > Package geometry and type in “Approved” and “Clp.”

So far we’ve recorded the macros in Allegro for all of these actions. The macros correspond to one specific file name and we want to apply this to numerous files. To do this we created a python program that locates all of the specified CLP and DRA files, and if they have a matching name, runs a for loop that puts each file name into a stored variable that runs a loop for each file. We converted this script into batch and then added a function that we thought would run Allegro macros from batch.

In order to get the script working, we need to have an allegro batch command that will run the script without opening the Allegro start popup, or closing the popup when it appears.  We need to do this to run any script from starting Allegro.

I’ve done another similar program in batch where I made a for loop for each dra file and within the loop there was a batch a2dxf command that converted all dra files to dxf files. Is there a similar batch command for adding clp files to position 0 0 and/ or adding classes? If anyone has done something similar please let me know!

Thank you very much for the help.

Jen

The complexity and size of mixed-signal designs in wireless, power management, automotive, and other fast growing applications requires continued advancements in a mixed-signal verification methodology. An SoC, in these fast growing applications, incorporates a large number of analog and mixed-signal (AMS) blocks/IPs, some acquired from IP providers, some designed, often concurrently. AMS IP must be verified independently, but this is not sufficient to ensure an SoC will function properly and all scenarios of interaction among many different AMS IP blocks at full chip / SoC level must be verified thoroughly. To reduce an overall verification cycle, AMS IP and SoC verification teams must work in parallel from early stages of the design. Easier said than done! We will outline a methodology than can help.

AMS designers verify their IP meets required specifications by running a testbench they develop for standalone / out of-context verification. Typically, an AMS IP as analog-centric, hierarchal design in schematic, composed of blocks represented by transistor, HDL and behavioral description verified in Virtuoso® Analog Design Environment (ADE) using Spectre AMS Designer simulation. An SoC verification team typically uses UVM SystemVerilog testbech at full chip level where the AMS IP is represented with a simple digital or real number model running Xcelium /DMS simulation from the command line.

Ideally, AMS designers should also verify AMS IP function properly in the context of full-chip integration, but reproducing an often complex UVM SystemVerilog testbench and bringing over top-level design description to an analog-centric environment is not a simple task.

Last year, Cadence partnered with Infineon on a project with a goal to automate the reuse of a top-level testbench in AMS verification. The automation enabled AMS verification engineers to automatically configure setup for verification runs by assembling all necessary options and files from the AMS IP Virtuoso GUI and digital SoC top-level command line configurations. The benefits of this method were:

• AMS verification engineers did not need to re-create complex stimuli representing interaction of their IP at the top level
• Top-level verification stays external to the AMS IP verification environment and continues to be managed by the SoC verification team, but can be reused by the AMS IP team without manual overhead
• AMS IP is verified in-context and any inconsistencies are detected earlier in the verification process
• Improved productivity and overall verification time

For more details, please see Infineon’s CDNLlive presentation.

Since the release of the Automated Device Placement and Routing solution last year, we have continued to improve and build upon it. In this blog, I’ll talk about the latest addition—the Auto Device Array form—how this is an integral piece of the new Automated Device Placement and Routing solution.(read more)